List of papers by topics

Computational (Integrative) Pathology

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

End-to-End cell recognition by point annotation

End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning

Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Federated Stain Normalization for Computational Pathology

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

GradMix for nuclei segmentation and classification in imbalanced pathology image datasets

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer

Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification

Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis

Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

Modelling Cycles in Brain Networks with the Hodge Laplacian

Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis

Predicting molecular traits from tissue morphology through self-interactive multi-instance learning

Region-guided CycleGANs for Stain Transfer in Whole Slide Images

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

Sample hardness based gradient loss for long-tailed cervical cell detection

SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis

Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification

Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Unsupervised Nuclei Segmentation using Spatial Organization Priors

Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images

Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning

Computational Anatomy and Physiology

Automation of clinical measurements on radiographs of children's hips

CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

DisQ: Disentangling Quantitative MRI Mapping of the Heart

Extended Electrophysiological Source Imaging with Spatial Graph Filters

Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach

Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data

Landmark-free Statistical Shape Modeling via Neural Flow Deformations

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Privacy Preserving Image Registration

Progression models for imaging data with Longitudinal Variational Auto Encoders

Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder

Computer Aided Diagnosis

3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

A Medical Semantic-Assisted Transformer for Radiographic Report Generation

A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

A Self-Guided Framework for Radiology Report Generation

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Anomaly-aware multiple instance learning for rare anemia disorder classification

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Attentive Symmetric Autoencoder for Brain MRI Segmentation

Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

Automation of clinical measurements on radiographs of children's hips

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Characterization of brain activity patterns across states of consciousness based on variational auto-encoders

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

ChrSNet: Chromosome Straightening using Self-attention Guided Networks

Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Consistency-preserving Visual Question Answering in Medical Imaging

Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

Contrastive Masked Transformers for Forecasting Renal Transplant Function

Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography

CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Data-Driven Deep Supervision for Skin Lesion Classification

Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network

Deep Learning based Modality-Independent Intracranial Aneurysm Detection

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis

Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models

Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs

Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading

Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation

Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

End-to-End cell recognition by point annotation

End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

End-to-End Segmentation of Medical Images via Patch-wise Polygons Prediction

Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

Federated Medical Image Analysis with Virtual Sample Synthesis

Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification

Flexible Sampling for Long-tailed Skin Lesion Classification

fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network

How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples

Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia

Interpretable signature of consciousness in resting-state functional network brain activity

Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography

Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

Learning-based US-MR Liver Image Registration with Spatial Priors

Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound

Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation

Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer

Morphology-Aware Interactive Keypoint Estimation

Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network

Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification

Opinions Vary? Diagnosis First!

Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis

Overlooked Trustworthiness of Saliency Maps

Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation

Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Regression Metric Loss: Learning a Semantic Representation Space for Medical Images

Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification

Reinforcement learning for active modality selection during diagnosis

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

Sample hardness based gradient loss for long-tailed cervical cell detection

SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis

Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI

Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints

SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis

SGT: Scene Graph-Guided Transformer for Surgical Report Generation

Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease

Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Stepwise Feature Fusion: Local Guides Global

SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data

Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Transformer Based Multi-View Network for Mammographic Image Classification

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

TranSQ: Transformer-based Semantic Query for Medical Report Generation

ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment

Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models

USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Using Guided Self-Attention with Local Information for Polyp Segmentation

Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows

Weakly Supervised Online Action Detection for Infant General Movements

Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy

Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning

Image Analysis in Robot-Assisted Surgery

A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data

Deep Laparoscopic Stereo Matching with Transformers

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching

Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning

On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

SGT: Scene Graph-Guided Transformer for Surgical Report Generation

Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Towards Holistic Surgical Scene Understanding

Image Reconstruction

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization

D'ARTAGNAN: Counterfactual Video Generation

DDPNet: A novel dual-domain parallel network for low-dose CT reconstruction

Deep filter bank regression for super-resolution of anisotropic MR brain images

Deep Motion Network for Freehand 3D Ultrasound Reconstruction

Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy

Diffusion Models for Medical Anomaly Detection

Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution

FSE Compensated Motion Correction for MRI Using Data Driven Methods

Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Graph-based Compression of Incomplete 3D Photoacoustic Data

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators

Invertible Sharpening Network for MRI Reconstruction Enhancement

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging

Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation

Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction

MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation

Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Multi-task video enhancement for dental interventions

NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image

On the Uncertain Single-View Depths in Colonoscopies

Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification

Optimal MRI Undersampling Patterns for Pathology Localization

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising

Personalized dMRI Harmonization on Cortical Surface

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Physiological Model based Deep Learning Framework for Cardiac TMP Recovery

Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

TransEM: Residual Swin-Transformer based regularized PET image reconstruction

UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?

Undersampled MRI Reconstruction with Side Information-Guided Normalisation

Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer

Image Registration

A Deep-Discrete Learning Framework for Spherical Surface Registration

A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts

An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Diffusion Deformable Model for 4D Temporal Medical Image Generation

DisQ: Disentangling Quantitative MRI Mapping of the Heart

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration

DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching

DSR: Direct Simultaneous Registration for Multiple 3D Images

Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net

Embedding Gradient-based Optimization in Image Registration Networks

End-to-End cell recognition by point annotation

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks

Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation

Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging

Learning-based US-MR Liver Image Registration with Spatial Priors

LiftReg: Limited Angle 2D/3D Deformable Registration

MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Multi-task video enhancement for dental interventions

Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning

On the Dataset Quality Control for Image Registration Evaluation

Personalized dMRI Harmonization on Cortical Surface

Privacy Preserving Image Registration

Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

Supervised Deep Learning for Head Motion Correction in PET

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer

Transformer Lesion Tracker

Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans

Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Image Segmentation

A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation

A Hybrid Propagation Network for Interactive Volumetric Image Segmentation

A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

A Sense of Direction in Biomedical Neural Networks

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Atlas-based Semantic Segmentation of Prostate Zones

Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Automatic identification of segmentation errors for radiotherapy using geometric learning

Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations

CACTUSS: Common Anatomical CT-US Space for US examinations

Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data

CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction

Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation

ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Contrastive Re-localization and History Distillation in Federated CMR Segmentation

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation

Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations

DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images

Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation

DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Efficient Bayesian Uncertainty Estimation for nnU-Net

Efficient Biomedical Instance Segmentation via Knowledge Distillation

Efficient population based hyperparameter scheduling for medical image segmentation

End-to-End cell recognition by point annotation

End-to-End Segmentation of Medical Images via Patch-wise Polygons Prediction

Enforcing connectivity of 3D linear structures using their 2D projections

Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Evidence fusion with contextual discounting for multi-modality medical image segmentation

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning

FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation

GradMix for nuclei segmentation and classification in imbalanced pathology image datasets

Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry

Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Implicit Neural Representations for Medical Imaging Segmentation

iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images

Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Learning Incrementally to Segment Multiple Organs in a CT Image

Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation

Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization

Lesion-aware Dynamic Kernel for Polyp Segmentation

Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation

Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation

MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images

NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Noise transfer for unsupervised domain adaptation of retinal OCT images

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

Online Reflective Learning for Robust Medical Image Segmentation

OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Opinions Vary? Diagnosis First!

Optimal MRI Undersampling Patterns for Pathology Localization

Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation

PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning

PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection

Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation

Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

Self-Supervised Pre-Training for Nuclei Segmentation

Semi-supervised histological image segmentation via hierarchical consistency enforcement

Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints

Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation

Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation

Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency

SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Stay focused - Enhancing model interpretability through guided feature training

Stepwise Feature Fusion: Local Guides Global

Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework

Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation

TBraTS: Trusted Brain Tumor Segmentation

Test-Time Adaptation with Shape Moments for Image Segmentation

TGANet: Text-guided attention for improved polyp segmentation

The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Transformer based feature fusion for left ventricle segmentation in 4D flow MRI

Transforming the Interactive Segmentation for Medical Imaging

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

Trichomonas Vaginalis Segmentation in Microscope Images

Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary

Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography

Unsupervised Nuclei Segmentation using Spatial Organization Priors

Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models

Using Guided Self-Attention with Local Information for Polyp Segmentation

Vector Quantisation for Robust Segmentation

Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

vMFNet: Compositionality Meets Domain-generalised Segmentation

Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images

Weakly Supervised Volumetric Image Segmentation with Deformed Templates

What Makes for Automatic Reconstruction of Pulmonary Segments

Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation

Image-Guided Interventions

An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

CACTUSS: Common Anatomical CT-US Space for US examinations

Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Deep Laparoscopic Stereo Matching with Transformers

Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Hand Hygiene Quality Assessment using Image-to-Image Translation

Instrument-tissue Interaction Quintuple Detection in Surgery Videos

Learning-based US-MR Liver Image Registration with Spatial Priors

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Multi-task video enhancement for dental interventions

On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency

SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding

Integration of Imaging with Non-Imaging Biomarkers

Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning

PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data

Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy

Interventional Imaging Systems

Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency

Interventional Simulation Systems

An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery

Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Machine Learning - Active Learning

Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

Why patient data cannot be easily forgotten?

Machine Learning - Continual Learning

Class Impression for Data-free Incremental Learning

Efficient population based hyperparameter scheduling for medical image segmentation

Learning Incrementally to Segment Multiple Organs in a CT Image

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

LifeLonger: A Benchmark for Continual Disease Classification

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

On the Uncertain Single-View Depths in Colonoscopies

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Machine Learning - Data efficient Learning

A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Analyzing Brain Structural Connectivity as Continuous Random Functions

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Automatic identification of segmentation errors for radiotherapy using geometric learning

Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation

Deep filter bank regression for super-resolution of anisotropic MR brain images

Deep is a Luxury We Don't Have

Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

Embedding Gradient-based Optimization in Image Registration Networks

Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning

Flexible Sampling for Long-tailed Skin Lesion Classification

Intervention & Interaction Federated Abnormality Detection with Noisy Clients

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

Lesion Guided Explainable Few Weak-shot Medical Report Generation

Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation

MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis

Multiple Instance Learning with Mixed Supervision in Gleason Grading

Noise transfer for unsupervised domain adaptation of retinal OCT images

NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

RepsNet: Combining Vision with Language for Automated Medical Reports

SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI

Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization

Semi-Supervised PR Virtual Staining for Breast Histopathological Images

The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

Transforming the Interactive Segmentation for Medical Imaging

Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification

Machine Learning - Interpretability / Explainability

A Sense of Direction in Biomedical Neural Networks

Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Anomaly-aware multiple instance learning for rare anemia disorder classification

Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Calibration of Medical Imaging Classification Systems with Weight Scaling

Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Consistency-preserving Visual Question Answering in Medical Imaging

Deep filter bank regression for super-resolution of anisotropic MR brain images

Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Explaining Chest X-ray Pathologies in Natural Language

Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples

Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Interpretable signature of consciousness in resting-state functional network brain activity

Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome

Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels

Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning

Overlooked Trustworthiness of Saliency Maps

Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis

Regression Metric Loss: Learning a Semantic Representation Space for Medical Images

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease

Stay focused - Enhancing model interpretability through guided feature training

Surgical Skill Assessment via Video Semantic Aggregation

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI

The (de)biasing effect of GAN-based augmentation methods on skin lesion images

The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Visual explanations for the detection of diabetic retinopathy from retinal fundus images

What can we learn about a generated image corrupting its latent representation?

White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Machine Learning - Meta-learning

Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework

Machine Learning - Model Generalizability

A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

Adaptation of Surgical Activity Recognition Models Across Operating Rooms

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing

Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

Class Impression for Data-free Incremental Learning

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport

Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation

Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Deep is a Luxury We Don't Have

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

DRGen: Domain Generalization in Diabetic Retinopathy Classification

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Embedding Gradient-based Optimization in Image Registration Networks

Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

Histogram-based unsupervised domain adaptation for medical image classification

Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation

Intervention & Interaction Federated Abnormality Detection with Noisy Clients

Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs

Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Noise transfer for unsupervised domain adaptation of retinal OCT images

Online Reflective Learning for Robust Medical Image Segmentation

Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

SATr: Slice Attention with Transformer for Universal Lesion Detection

Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Stay focused - Enhancing model interpretability through guided feature training

Stepwise Feature Fusion: Local Guides Global

Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Vector Quantisation for Robust Segmentation

Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

vMFNet: Compositionality Meets Domain-generalised Segmentation

Machine Learning - Other

A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis

A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

An adaptive network with extragradient for diffusion MRI-based microstructure estimation

Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Attention mechanisms for physiological signal deep learning: which attention should we take?

Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

Automatic identification of segmentation errors for radiotherapy using geometric learning

Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Calibration of Medical Imaging Classification Systems with Weight Scaling

Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

ChrSNet: Chromosome Straightening using Self-attention Guided Networks

Class Impression for Data-free Incremental Learning

Contrastive learning for echocardiographic view integration

Contrastive Re-localization and History Distillation in Federated CMR Segmentation

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Data-Driven Deep Supervision for Skin Lesion Classification

Deep filter bank regression for super-resolution of anisotropic MR brain images

Deep is a Luxury We Don't Have

Deep Learning based Modality-Independent Intracranial Aneurysm Detection

Deep Multimodal Guidance for Medical Image Classification

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Diffusion Models for Medical Anomaly Detection

Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Efficient Biomedical Instance Segmentation via Knowledge Distillation

Efficient population based hyperparameter scheduling for medical image segmentation

End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Federated Medical Image Analysis with Virtual Sample Synthesis

FedHarmony: Unlearning Scanner Bias with Distributed Data

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Fine-grained Correlation Loss for Regression

Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework

Global Multi-modal 2D/3D Registration via Local Descriptors Learning

GradMix for nuclei segmentation and classification in imbalanced pathology image datasets

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Implicit Neural Representations for Generative Modeling of Living Cell Shapes

Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation

Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization

LifeLonger: A Benchmark for Continual Disease Classification

Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Morphology-Aware Interactive Keypoint Estimation

mulEEG: A Multi-View Representation Learning on EEG Signals

Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images

Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Multi-task video enhancement for dental interventions

Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition

Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Privacy Preserving Image Registration

Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Regression Metric Loss: Learning a Semantic Representation Space for Medical Images

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

SATr: Slice Attention with Transformer for Universal Lesion Detection

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification

SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

TGANet: Text-guided attention for improved polyp segmentation

Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Why patient data cannot be easily forgotten?

Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation

Machine Learning - Reinforcement learning

Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations

OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Reinforcement learning for active modality selection during diagnosis

Retrieval of surgical phase transitions using reinforcement learning

RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Machine Learning - Semi-/Weakly-/Un-/Self-supervised representation learning

A Deep-Discrete Learning Framework for Spherical Surface Registration

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Adaptation of Surgical Activity Recognition Models Across Operating Rooms

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI

Aggregative Self-Supervised Feature Learning from Limited Medical Images

An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Anomaly-aware multiple instance learning for rare anemia disorder classification

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Automatic identification of segmentation errors for radiotherapy using geometric learning

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

Characterization of brain activity patterns across states of consciousness based on variational auto-encoders

Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification

Contrastive Masked Transformers for Forecasting Renal Transplant Function

Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

D'ARTAGNAN: Counterfactual Video Generation

Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation

Deep Motion Network for Freehand 3D Ultrasound Reconstruction

DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models

DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy

DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Diffusion Deformable Model for 4D Temporal Medical Image Generation

DisQ: Disentangling Quantitative MRI Mapping of the Heart

Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net

Embedding Gradient-based Optimization in Image Registration Networks

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits

Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions

Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution

Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework

Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Graph Emotion Decoding from Visually Evoked Neural Responses

Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Learning Incrementally to Segment Multiple Organs in a CT Image

Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis

Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation

MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

mulEEG: A Multi-View Representation Learning on EEG Signals

Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks

Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Noise transfer for unsupervised domain adaptation of retinal OCT images

Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image

On the Uncertain Single-View Depths in Colonoscopies

Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays

Predicting molecular traits from tissue morphology through self-interactive multi-instance learning

ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis

Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Region-guided CycleGANs for Stain Transfer in Whole Slide Images

Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

Self-Supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Correlations

Self-Supervised Pre-Training for Nuclei Segmentation

Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization

Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints

ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation

Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising

Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer

Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data

Transformer based multiple instance learning for weakly supervised histopathology image segmentation

UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?

Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification

Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Unsupervised Nuclei Segmentation using Spatial Organization Priors

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows

Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer

Weakly Supervised Online Action Detection for Infant General Movements

Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images

Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Machine Learning - Transfer learning

A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts

Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Automatic identification of segmentation errors for radiotherapy using geometric learning

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

CACTUSS: Common Anatomical CT-US Space for US examinations

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs

Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography

Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis

Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis

Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation

Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

Efficient population based hyperparameter scheduling for medical image segmentation

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

Federated Stain Normalization for Computational Pathology

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

LifeLonger: A Benchmark for Continual Disease Classification

Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

mulEEG: A Multi-View Representation Learning on EEG Signals

Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis

Noise transfer for unsupervised domain adaptation of retinal OCT images

On the Uncertain Single-View Depths in Colonoscopies

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

RepsNet: Combining Vision with Language for Automated Medical Reports

SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer

Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

Test-Time Adaptation with Shape Moments for Image Segmentation

Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning

Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

Machine Learning - Uncertainty

Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction

DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Efficient Bayesian Uncertainty Estimation for nnU-Net

End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival

Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Evidence fusion with contextual discounting for multi-modality medical image segmentation

From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach

FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation

Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning

On the Uncertain Single-View Depths in Colonoscopies

Opinions Vary? Diagnosis First!

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization

TBraTS: Trusted Brain Tumor Segmentation

Test Time Transform Prediction for Open Set Histopathological Image Recognition

Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound

Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

What can we learn about a generated image corrupting its latent representation?

Medical Robotics and Haptics

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Modalities - Biophotonics

A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

Modalities - CT

A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation

A Hybrid Propagation Network for Interactive Volumetric Image Segmentation

A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Automatic identification of segmentation errors for radiotherapy using geometric learning

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

CACTUSS: Common Anatomical CT-US Space for US examinations

Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs

CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction

Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation

ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations

DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Enforcing connectivity of 3D linear structures using their 2D projections

Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning

FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Implicit Neural Representations for Medical Imaging Segmentation

Learning Incrementally to Segment Multiple Organs in a CT Image

Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks

Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization

LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation

MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients

NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising

PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

SATr: Slice Attention with Transformer for Universal Lesion Detection

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation

Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Thoracic Lymph Node Segmentation in CT imaging via Lymph Node Station Stratification and Size Encoding

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Transformer Lesion Tracker

Transforming the Interactive Segmentation for Medical Imaging

UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?

Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

What can we learn about a generated image corrupting its latent representation?

What Makes for Automatic Reconstruction of Pulmonary Segments

Modalities - EEG/ECG

Attention mechanisms for physiological signal deep learning: which attention should we take?

Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior

Extended Electrophysiological Source Imaging with Spatial Graph Filters

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators

mulEEG: A Multi-View Representation Learning on EEG Signals

Physiological Model based Deep Learning Framework for Cardiac TMP Recovery

Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer

Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Modalities - Endoscope

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Deep Laparoscopic Stereo Matching with Transformers

Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Lesion-aware Dynamic Kernel for Polyp Segmentation

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning

On the Uncertain Single-View Depths in Colonoscopies

Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation

SGT: Scene Graph-Guided Transformer for Surgical Report Generation

Stay focused - Enhancing model interpretability through guided feature training

Stepwise Feature Fusion: Local Guides Global

Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation

TGANet: Text-guided attention for improved polyp segmentation

Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Towards Holistic Surgical Scene Understanding

Using Guided Self-Attention with Local Information for Polyp Segmentation

Video-based Surgical Skills Assessment using Long term Tool Tracking

Modalities - Histopathology

Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study

ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Deep Multimodal Guidance for Medical Image Classification

DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology

Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning

Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Federated Stain Normalization for Computational Pathology

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

GradMix for nuclei segmentation and classification in imbalanced pathology image datasets

Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer

Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification

Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis

Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

Low-Resource Adversarial Domain Adaptation for Cross-Modality Nucleus Detection

Multiple Instance Learning with Mixed Supervision in Gleason Grading

Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization

Region-guided CycleGANs for Stain Transfer in Whole Slide Images

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

Sample hardness based gradient loss for long-tailed cervical cell detection

Self-Supervised Pre-Training for Nuclei Segmentation

Semi-Supervised PR Virtual Staining for Breast Histopathological Images

SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis

Test Time Transform Prediction for Open Set Histopathological Image Recognition

Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification

Unsupervised Nuclei Segmentation using Spatial Organization Priors

Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning

Modalities - MRI

3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation

A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

An adaptive network with extragradient for diffusion MRI-based microstructure estimation

Analyzing Brain Structural Connectivity as Continuous Random Functions

Atlas-based Semantic Segmentation of Prostate Zones

Atlas-powered deep learning (ADL) - application to diffusion weighted MRI

Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Characterization of brain activity patterns across states of consciousness based on variational auto-encoders

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

Contrastive Masked Transformers for Forecasting Renal Transplant Function

Contrastive Re-localization and History Distillation in Federated CMR Segmentation

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network

Deep filter bank regression for super-resolution of anisotropic MR brain images

Deep Multimodal Guidance for Medical Image Classification

Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

DisQ: Disentangling Quantitative MRI Mapping of the Heart

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging

Efficient Bayesian Uncertainty Estimation for nnU-Net

Embedding Gradient-based Optimization in Image Registration Networks

Embedding Human Brain Function via Transformer

End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

Enforcing connectivity of 3D linear structures using their 2D projections

Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Evidence fusion with contextual discounting for multi-modality medical image segmentation

Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior

Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

FedHarmony: Unlearning Scanner Bias with Distributed Data

Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning

fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits

FSE Compensated Motion Correction for MRI Using Data Driven Methods

FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation

Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Graph Emotion Decoding from Visually Evoked Neural Responses

Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network

How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data

Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Interpretable signature of consciousness in resting-state functional network brain activity

Invertible Sharpening Network for MRI Reconstruction Enhancement

Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs

iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging

Learning-based US-MR Liver Image Registration with Spatial Priors

Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Modelling Cycles in Brain Networks with the Hodge Laplacian

Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation

Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks

Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition

Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning

Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

Online Reflective Learning for Robust Medical Image Segmentation

OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Optimal MRI Undersampling Patterns for Pathology Localization

Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis

Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

Personalized dMRI Harmonization on Cortical Surface

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Predicting Spatio-Temporal Human Brain Response Using fMRI

Progression models for imaging data with Longitudinal Variational Auto Encoders

Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation

Semi-supervised histological image segmentation via hierarchical consistency enforcement

Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI

Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints

Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder

ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation

Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease

Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework

SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI

Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator

The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

Transformer based feature fusion for left ventricle segmentation in 4D flow MRI

Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?

Undersampled MRI Reconstruction with Side Information-Guided Normalisation

Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer

Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

What can we learn about a generated image corrupting its latent representation?

White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Modalities - Microscopy

An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Anomaly-aware multiple instance learning for rare anemia disorder classification

Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

ChrSNet: Chromosome Straightening using Self-attention Guided Networks

ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy

Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net

Enforcing connectivity of 3D linear structures using their 2D projections

Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Implicit Neural Representations for Generative Modeling of Living Cell Shapes

InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

Low-Resource Adversarial Domain Adaptation for Cross-Modality Nucleus Detection

Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation

Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Region-guided CycleGANs for Stain Transfer in Whole Slide Images

S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression

Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Trichomonas Vaginalis Segmentation in Microscope Images

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification

Modalities - PET/SPECT

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization

Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks

Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs

Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET

PET denoising and uncertainty estimation based on NVAE model using quantile regression loss

Sparse Interpretation of Graph Convolutional Networks for Multi-Modal Diagnosis of Alzheimer’s Disease

Supervised Deep Learning for Head Motion Correction in PET

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

TransEM: Residual Swin-Transformer based regularized PET image reconstruction

Modalities - Text (clinical/radiology reports)

A Medical Semantic-Assisted Transformer for Radiographic Report Generation

A Self-Guided Framework for Radiology Report Generation

An Inclusive Task-Aware Framework for Radiology Report Generation

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

Explaining Chest X-ray Pathologies in Natural Language

Lesion Guided Explainable Few Weak-shot Medical Report Generation

Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

RepsNet: Combining Vision with Language for Automated Medical Reports

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

TranSQ: Transformer-based Semantic Query for Medical Report Generation

Modalities - Ultrasound

A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Class Impression for Data-free Incremental Learning

Contrastive learning for echocardiographic view integration

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

D'ARTAGNAN: Counterfactual Video Generation

Deep Motion Network for Freehand 3D Ultrasound Reconstruction

DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction

DSR: Direct Simultaneous Registration for Multiple 3D Images

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Fine-grained Correlation Loss for Regression

Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Learning-based US-MR Liver Image Registration with Spatial Priors

Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer

Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning

Online Reflective Learning for Robust Medical Image Segmentation

Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection

Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency

Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data

Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching

USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding

Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Modalities - Video

A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network

Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

D'ARTAGNAN: Counterfactual Video Generation

Deep Learning based Modality-Independent Intracranial Aneurysm Detection

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction

Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Intervention & Interaction Federated Abnormality Detection with Noisy Clients

Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Multi-task video enhancement for dental interventions

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video

Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising

Surgical Skill Assessment via Video Semantic Aggregation

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Towards Holistic Surgical Scene Understanding

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data

Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

Video-based Surgical Skills Assessment using Long term Tool Tracking

Weakly Supervised Online Action Detection for Infant General Movements

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Modalities - other

A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Conditional Generative Data Augmentation for Clinical Audio Datasets

Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Consistency-preserving Visual Question Answering in Medical Imaging

Curvature-enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs

DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching

Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation

Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution

Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework

Graph-based Compression of Incomplete 3D Photoacoustic Data

Histogram-based unsupervised domain adaptation for medical image classification

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation

Morphology-Aware Interactive Keypoint Estimation

Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images

Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Noise transfer for unsupervised domain adaptation of retinal OCT images

OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Radiological Reports Improve Pre-Training for Localized Imaging Tasks on Chest X-Rays

Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Rib Suppression in Digital Chest Tomosynthesis

SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification

Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Organ - Abdomen

A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery

Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling

CACTUSS: Common Anatomical CT-US Space for US examinations

CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Context-aware Voxel-wise Contrastive Learning for Label Efficient Multi-organ Segmentation

Contrastive Masked Transformers for Forecasting Renal Transplant Function

Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations

Deep treatment response assessment and prediction of colorectal cancer liver metastases

DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration

Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning

Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification

Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Learning Incrementally to Segment Multiple Organs in a CT Image

Learning-based US-MR Liver Image Registration with Spatial Priors

Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Parameter-free latent space transformer for zero-shot bidirectional cross-modality liver segmentation

PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints

Stepwise Feature Fusion: Local Guides Global

Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Using Guided Self-Attention with Local Information for Polyp Segmentation

Video-based Surgical Skills Assessment using Long term Tool Tracking

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

What can we learn about a generated image corrupting its latent representation?

Organ - Brain

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis

A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation

A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

An adaptive network with extragradient for diffusion MRI-based microstructure estimation

Analyzing Brain Structural Connectivity as Continuous Random Functions

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Atlas-powered deep learning (ADL) - application to diffusion weighted MRI

Attentive Symmetric Autoencoder for Brain MRI Segmentation

Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease

Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Characterization of brain activity patterns across states of consciousness based on variational auto-encoders

Classification-aided High-quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

Deep Learning based Modality-Independent Intracranial Aneurysm Detection

Deep Multimodal Guidance for Medical Image Classification

Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading

Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency

Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis

Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning

Embedding Gradient-based Optimization in Image Registration Networks

Embedding Human Brain Function via Transformer

Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method

Evidence fusion with contextual discounting for multi-modality medical image segmentation

Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior

Extended Electrophysiological Source Imaging with Spatial Graph Filters

Fast Spherical Mapping of Cortical Surface Meshes using Deep Unsupervised Learning

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

FedHarmony: Unlearning Scanner Bias with Distributed Data

Fine-grained Correlation Loss for Regression

Graph Emotion Decoding from Visually Evoked Neural Responses

Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network

How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Identification of vascular cognitive impairment in adult moyamoya disease via integrated graph convolutional network

Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Interpretable signature of consciousness in resting-state functional network brain activity

Invertible Sharpening Network for MRI Reconstruction Enhancement

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

Modelling Cycles in Brain Networks with the Hodge Laplacian

mulEEG: A Multi-View Representation Learning on EEG Signals

Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition

Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning

Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification

Optimal MRI Undersampling Patterns for Pathology Localization

Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis

Predicting Spatio-Temporal Human Brain Response Using fMRI

Progression models for imaging data with Longitudinal Variational Auto Encoders

Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points

Semi-supervised histological image segmentation via hierarchical consistency enforcement

Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI

Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder

Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI

Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer

Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference

TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer’s Disease using weakly annotated whole slide histopathological images

WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution

White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning

Organ - Breast

A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

Calibration of Medical Imaging Classification Systems with Weight Scaling

Deep is a Luxury We Don't Have

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography

Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Region-guided CycleGANs for Stain Transfer in Whole Slide Images

Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network

Semi-Supervised PR Virtual Staining for Breast Histopathological Images

Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

Transformer Based Multi-View Network for Mammographic Image Classification

ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching

Organ - Eye

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

A Sense of Direction in Biomedical Neural Networks

A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

Consistency-preserving Visual Question Answering in Medical Imaging

DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

DRGen: Domain Generalization in Diabetic Retinopathy Classification

Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification

Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples

Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Lesion Guided Explainable Few Weak-shot Medical Report Generation

Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation

Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation

Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images

Noise transfer for unsupervised domain adaptation of retinal OCT images

Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning

Opinions Vary? Diagnosis First!

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity

SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification

Semi-supervised histological image segmentation via hierarchical consistency enforcement

Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography

Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation

Organ - Fetal

Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes

Fine-grained Correlation Loss for Regression

Online Reflective Learning for Robust Medical Image Segmentation

Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data

USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation during Fine-Adjustment Standard Fetal Plane Finding

Organ - Heart

Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

Class Impression for Data-free Incremental Learning

Contrastive learning for echocardiographic view integration

Contrastive Re-localization and History Distillation in Federated CMR Segmentation

Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

D'ARTAGNAN: Counterfactual Video Generation

Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction

DisQ: Disentangling Quantitative MRI Mapping of the Heart

DSP-Net: Deeply-Supervised Pseudo-Siamese Network for Dynamic Angiographic Image Matching

Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Efficient Bayesian Uncertainty Estimation for nnU-Net

Embedding Gradient-based Optimization in Image Registration Networks

Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Fine-grained Correlation Loss for Regression

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging

Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation

Online Reflective Learning for Robust Medical Image Segmentation

OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Optimal MRI Undersampling Patterns for Pathology Localization

PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Physiological Model based Deep Learning Framework for Cardiac TMP Recovery

Reinforcement learning for active modality selection during diagnosis

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation

The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

Transformer based feature fusion for left ventricle segmentation in 4D flow MRI

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Organ - Lung

A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

A Self-Guided Framework for Radiology Report Generation

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images

Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs

Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification

GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework

Histogram-based unsupervised domain adaptation for medical image classification

Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks

LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

LiftReg: Limited Angle 2D/3D Deformable Registration

Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network

NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification

OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation

Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

Rib Suppression in Digital Chest Tomosynthesis

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification

Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph

SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

Transforming the Interactive Segmentation for Medical Imaging

Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

What Makes for Automatic Reconstruction of Pulmonary Segments

Organ - Musculoskeleton

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging

Automatic Segmentation of Hip Osteophytes in DXA Scans using U-Nets

Automation of clinical measurements on radiographs of children's hips

BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Conditional Generative Data Augmentation for Clinical Audio Datasets

Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Deep Motion Network for Freehand 3D Ultrasound Reconstruction

Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets

Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization

Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis

MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches

Online Reflective Learning for Robust Medical Image Segmentation

Optimal MRI Undersampling Patterns for Pathology Localization

Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency

SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?

USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution

Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Organ - Other

Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Automatic identification of segmentation errors for radiotherapy using geometric learning

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography

Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

End-to-end Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Implicit Neural Representations for Medical Imaging Segmentation

Invertible Sharpening Network for MRI Reconstruction Enhancement

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

Lesion-aware Dynamic Kernel for Polyp Segmentation

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

Multi-task video enhancement for dental interventions

Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation

SGT: Scene Graph-Guided Transformer for Surgical Report Generation

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator

TGANet: Text-guided attention for improved polyp segmentation

Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer

Organ - Skin

ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Data-Driven Deep Supervision for Skin Lesion Classification

Deep Multimodal Guidance for Medical Image Classification

Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis

Flexible Sampling for Long-tailed Skin Lesion Classification

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Semi-supervised histological image segmentation via hierarchical consistency enforcement

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

The (de)biasing effect of GAN-based augmentation methods on skin lesion images

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Organ - Tumor

A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

Contrast-free Liver Tumor Detection using Ternary Knowledge Transferred Teacher-student Deep Reinforcement Learning

DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform

DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging

Evidence fusion with contextual discounting for multi-modality medical image segmentation

Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-associated Interactions between Tumor-infiltrating Lymphocytes and Tumors

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer

Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation

Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Multiple Instance Learning with Mixed Supervision in Gleason Grading

PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

Predicting molecular traits from tissue morphology through self-interactive multi-instance learning

RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation

Semi-supervised histological image segmentation via hierarchical consistency enforcement

Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation

The Dice loss in the context of missing or empty labels: introducing Φ and ϵ

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Transforming the Interactive Segmentation for Medical Imaging

Unsupervised Cross-Disease Domain Adaptation by Lesion Scale Matching

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning

Organ - Vessel

A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation

A Novel Fusion Network for Morphological Analysis of Common Iliac Artery

A Sense of Direction in Biomedical Neural Networks

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks

CACTUSS: Common Anatomical CT-US Space for US examinations

Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography

Deep Learning based Modality-Independent Intracranial Aneurysm Detection

Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation

Enforcing connectivity of 3D linear structures using their 2D projections

Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

Graph-based Compression of Incomplete 3D Photoacoustic Data

Multi-institutional Investigation of Model Generalizability for Virtual Contrast-enhanced MRI Synthesis

Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning

Semi-supervised histological image segmentation via hierarchical consistency enforcement

Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention

Outcome/disease prediction

3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models

Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

An Advanced Deep Learning Framework for Video-based Diagnosis of ASD

An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Automation of clinical measurements on radiographs of children's hips

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video

Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

Combining mixed-format labels for AI-based pathology detection pipeline in a large-scale knee MRI study

Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

Consistency-preserving Visual Question Answering in Medical Imaging

Coronary R-CNN: Vessel-wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography

Deep is a Luxury We Don't Have

Deep Multimodal Guidance for Medical Image Classification

Deep treatment response assessment and prediction of colorectal cancer liver metastases

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography

Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores

Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Histogram-based unsupervised domain adaptation for medical image classification

How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging

Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples

Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Interpretable signature of consciousness in resting-state functional network brain activity

Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening

LifeLonger: A Benchmark for Continual Disease Classification

Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation

Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging

Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-Task Learning

Optimal MRI Undersampling Patterns for Pathology Localization

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

Overlooked Trustworthiness of Saliency Maps

PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model

Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis

Progression models for imaging data with Longitudinal Variational Auto Encoders

Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis

Reinforcement learning for active modality selection during diagnosis

Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting

RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

Sample hardness based gradient loss for long-tailed cervical cell detection

SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer

Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder

Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans

Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification

Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma based on Longitudinal Ultrasound Images

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma

Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification

Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder

Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Visual explanations for the detection of diabetic retinopathy from retinal fundus images

Weakly Supervised Online Action Detection for Infant General Movements

Population Imaging and Imaging Genetics

An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention

FedHarmony: Unlearning Scanner Bias with Distributed Data

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome

Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Surgical Data Science

Adaptation of Surgical Activity Recognition Models Across Operating Rooms

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Conditional Generative Data Augmentation for Clinical Audio Datasets

Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

On the Dataset Quality Control for Image Registration Evaluation

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Retrieval of surgical phase transitions using reinforcement learning

Stay focused - Enhancing model interpretability through guided feature training

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Towards Holistic Surgical Scene Understanding

Video-based Surgical Skills Assessment using Long term Tool Tracking

Surgical Planning and Simulation

Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement

Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition

DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Surgical Scene Understanding

4D-OR: Semantic Scene Graphs for OR Domain Modeling

Adaptation of Surgical Activity Recognition Models Across Operating Rooms

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation

Instrument-tissue Interaction Quintuple Detection in Surgery Videos

Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels

Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

SGT: Scene Graph-Guided Transformer for Surgical Report Generation

Stay focused - Enhancing model interpretability through guided feature training

Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Towards Holistic Surgical Scene Understanding

Video-based Surgical Skills Assessment using Long term Tool Tracking

Surgical Skill and Work Flow Analysis

4D-OR: Semantic Scene Graphs for OR Domain Modeling

Adaptation of Surgical Activity Recognition Models Across Operating Rooms

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions

Instrument-tissue Interaction Quintuple Detection in Surgery Videos

Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches

Retrieval of surgical phase transitions using reinforcement learning

Surgical Skill Assessment via Video Semantic Aggregation

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

Towards Holistic Surgical Scene Understanding

USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Video-based Surgical Skills Assessment using Long term Tool Tracking

Surgical Visualization and Mixed/Augmented/Virtual Reality

Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

DSR: Direct Simultaneous Registration for Multiple 3D Images

Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency

Ideal Midsagittal Plane Detection using Deep Hough Plane Network for Brain Surgical Planning

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment

Visualisation in Biomedical Imaging

Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning

Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians

Characterization of brain activity patterns across states of consciousness based on variational auto-encoders

CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability

Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping

DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface

Graph-based Compression of Incomplete 3D Photoacoustic Data

Hand Hygiene Quality Assessment using Image-to-Image Translation

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction

Mixed Reality and Deep Learning for External Ventricular Drainage Placement: a Fast and Automatic Workflow for Emergency Treatments

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation