List of Papers

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

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

• 4D-OR: Semantic Scene Graphs for OR Domain Modeling

• A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000

• A Deep-Discrete Learning Framework for Spherical Surface Registration

• A Geometry-Constrainted Deformable Attention Network for Aortic Segmentation

• A Hybrid Propagation Network for Interactive Volumetric Image Segmentation

• A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis

• A Medical Semantic-Assisted Transformer for Radiographic Report Generation

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

• 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

• 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 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

• A Self-Guided Framework for Radiology Report Generation

• A Sense of Direction in Biomedical Neural Networks

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

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

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

• 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 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

• Adaptation of Surgical Activity Recognition Models Across Operating Rooms

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

• Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

• 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

• Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

• Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

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

• Aggregative Self-Supervised Feature Learning from Limited Medical Images

• An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-Lesions

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

• 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

• An Inclusive Task-Aware Framework for Radiology Report Generation

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

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

• Analyzing Brain Structural Connectivity as Continuous Random Functions

• 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

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

• Atlas-based Semantic Segmentation of Prostate Zones

• Atlas-powered deep learning (ADL) - application to diffusion weighted MRI

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

• Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

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

• Attentive Symmetric Autoencoder for Brain MRI Segmentation

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

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

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

• 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

• 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

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

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

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

• 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

• Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation

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

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

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

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

• CACTUSS: Common Anatomical CT-US Space for US examinations

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

• Calibration of Medical Imaging Classification Systems with Weight Scaling

• Camera Adaptation for Fundus-Image-Based CVD Risk Estimation

• 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

• CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis

• 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

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

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

• 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

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

• Class Impression for Data-free Incremental Learning

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

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

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

• 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

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

• Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

• Conditional Generative Data Augmentation for Clinical Audio Datasets

• Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases

• 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

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

• ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation

• 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 Functional Connectivity Graph Learning for Population-based fMRI Classification

• Contrastive learning for echocardiographic view integration

• Contrastive Masked Transformers for Forecasting Renal Transplant Function

• Contrastive Re-localization and History Distillation in Federated CMR Segmentation

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

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

• 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

• D'ARTAGNAN: Counterfactual Video Generation

• Data-Driven Deep Supervision for Skin Lesion Classification

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

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

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

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

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

• Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning

• Deep is a Luxury We Don't Have

• Deep Laparoscopic Stereo Matching with Transformers

• Deep Learning based Modality-Independent Intracranial Aneurysm Detection

• 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

• Deep Motion Network for Freehand 3D Ultrasound Reconstruction

• Deep Multimodal Guidance for Medical Image Classification

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

• 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

• 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

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

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

• 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

• Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

• 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

• 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

• 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

• 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

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

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

• Diffusion Deformable Model for 4D Temporal Medical Image Generation

• Diffusion Models for Medical Anomaly Detection

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

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

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

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

• DisQ: Disentangling Quantitative MRI Mapping of the Heart

• Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction

• 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

• DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

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

• DRGen: Domain Generalization in Diabetic Retinopathy Classification

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

• 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

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

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

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

• 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

• Efficient Bayesian Uncertainty Estimation for nnU-Net

• Efficient Biomedical Instance Segmentation via Knowledge Distillation

• Efficient population based hyperparameter scheduling for medical image segmentation

• Electron Microscope Image Registration using Laplacian Sharpening Transformer U-Net

• Embedding Gradient-based Optimization in Image Registration Networks

• Embedding Human Brain Function via Transformer

• End-to-End cell recognition by point annotation

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

• 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

• 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

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

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

• Explaining Chest X-ray Pathologies in Natural Language

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

• Extended Electrophysiological Source Imaging with Spatial Graph Filters

• FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

• Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model

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

• 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

• 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

• Federated Stain Normalization for Computational Pathology

• FedHarmony: Unlearning Scanner Bias with Distributed Data

• 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

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

• Fine-grained Correlation Loss for Regression

• 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

• Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions

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

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

• FSE Compensated Motion Correction for MRI Using Data Driven Methods

• 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

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

• 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

• Graph Emotion Decoding from Visually Evoked Neural Responses

• Graph-based Compression of Incomplete 3D Photoacoustic Data

• Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

• Hand Hygiene Quality Assessment using Image-to-Image Translation

• Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge

• Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network

• Histogram-based unsupervised domain adaptation for medical image classification

• 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

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

• Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions

• Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types

• Implicit Neural Representations for Generative Modeling of Living Cell Shapes

• Implicit Neural Representations for Medical Imaging Segmentation

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

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

• 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

• InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

• Instrument-tissue Interaction Quintuple Detection in Surgery Videos

• Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection

• Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia

• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators

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

• Intervention & Interaction Federated Abnormality Detection with Noisy Clients

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

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

• 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

• 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

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

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

• Landmark-free Statistical Shape Modeling via Neural Flow Deformations

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

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

• 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 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

• Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection

• 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 Underrepresented Classes from Decentralized Partially Labeled Medical Images

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

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

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

• Lesion Guided Explainable Few Weak-shot Medical Report Generation

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

• Lesion-aware Dynamic Kernel for Polyp Segmentation

• Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

• Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation

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

• LifeLonger: A Benchmark for Continual Disease Classification

• LiftReg: Limited Angle 2D/3D Deformable Registration

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

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

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

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

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

• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

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

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

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

• 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

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

• 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

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

• 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

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

• 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

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

• Morphology-Aware Interactive Keypoint Estimation

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

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

• mulEEG: A Multi-View Representation Learning on EEG Signals

• Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.

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

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

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

• 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

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

• Multiple Instance Learning with Mixed Supervision in Gleason Grading

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

• Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images

• Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression

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

• Multi-task video enhancement for dental interventions

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

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

• 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

• 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

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

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

• Noise transfer for unsupervised domain adaptation of retinal OCT images

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

• 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

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

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

• On Surgical Planning of Percutaneous Nephrolithotomy with Patient-Specific CTRs

• On the Dataset Quality Control for Image Registration Evaluation

• On the Uncertain Single-View Depths in Colonoscopies

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

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

• Online Reflective Learning for Robust Medical Image Segmentation

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

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

• Opinions Vary? Diagnosis First!

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

• Optimal MRI Undersampling Patterns for Pathology Localization

• Optimal Transport based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis

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

• Orientation-guided Graph Convolutional Network for Bone Surface Segmentation

• Orientation-Shared Convolution Representation for CT Metal Artifact Learning

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

• Overlooked Trustworthiness of Saliency Maps

• 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

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

• 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

• Personalized dMRI Harmonization on Cortical Surface

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

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

• Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography

• Physiological Model based Deep Learning Framework for Cardiac TMP Recovery

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

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

• Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image

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

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

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

• Predicting Spatio-Temporal Human Brain Response Using fMRI

• Privacy Preserving Image Registration

• 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

• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning

• Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

• Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation

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

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

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

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

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

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

• Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos

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

• 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

• Region-guided CycleGANs for Stain Transfer in Whole Slide 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

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

• 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

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

• Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis

• RepsNet: Combining Vision with Language for Automated Medical Reports

• Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI

• 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

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

• Retrieval of surgical phase transitions using reinforcement learning

• Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer

• Rib Suppression in Digital Chest Tomosynthesis

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

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

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

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

• 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

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

• SATr: Slice Attention with Transformer for Universal Lesion Detection

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

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

• 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

• SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer

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

• 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

• 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 3D Patient Modeling with Multi-modal Attentive Fusion

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

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

• 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 learning with data harmonisation for biomarker discovery from resting state fMRI

• 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

• Semi-Supervised PR Virtual Staining for Breast Histopathological Images

• Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation

• Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging

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

• SGT: Scene Graph-Guided Transformer for Surgical Report Generation

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

• 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

• 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

• Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency

• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

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

• SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation

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

• 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

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

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

• Stay focused - Enhancing model interpretability through guided feature training

• Stepwise Feature Fusion: Local Guides Global

• Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning

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

• Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

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

• 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

• Supervised Deep Learning for Head Motion Correction in PET

• Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

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

• Surgical Skill Assessment via Video Semantic Aggregation

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

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

• 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

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

• Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation

• TBraTS: Trusted Brain Tumor Segmentation

• Test Time Transform Prediction for Open Set Histopathological Image Recognition

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

• Test-Time Adaptation with Shape Moments for Image Segmentation

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

• TGANet: Text-guided attention for improved polyp segmentation

• 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

• The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference

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

• 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

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

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

• Towards Holistic Surgical Scene Understanding

• Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

• 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

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

• TransEM: Residual Swin-Transformer based regularized PET image reconstruction

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

• Transformer based multiple instance learning for weakly supervised histopathology image segmentation

• 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

• Transformer Lesion Tracker

• Transforming the Interactive Segmentation for Medical Imaging

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

• TranSQ: Transformer-based Semantic Query for Medical Report Generation

• Trichomonas Vaginalis Segmentation in Microscope Images

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

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

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

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

• Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

• Undersampled MRI Reconstruction with Side Information-Guided Normalisation

• 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

• 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-Disease Domain Adaptation by Lesion Scale Matching

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

• 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

• Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

• 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

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

• Vector Quantisation for Robust Segmentation

• Video-based Surgical Skills Assessment using Long term Tool Tracking

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

• 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

• 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

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

• 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 Volumetric Image Segmentation with Deformed Templates

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

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

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

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

• What Makes for Automatic Reconstruction of Pulmonary Segments

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

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

• Why patient data cannot be easily forgotten?

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

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