25th International Conference on Medical Image
Computing and Computer Assisted Intervention

September 18-22, 2022
Resorts World Convention Centre Singapore

TUTORIALS

Day/Time Event Name Contact Associated Challenge/Tutorial Duration (F=Full day/H=Half day)
Sep 18/ 3:40 PM to 7:10 PM (SGT time) The MICCAI Hackathon: Still bridging the gap to the clinics Wilson Silva
(INESC TEC, Universidade do Porto)
wilson.j.silva[at]inesctec.pt
contact[at]miccai-hackathon.com
H
Sep 18/ 8:00 AM to 11:30 AM (SGT time) MICCAI for Global Health: Addressing medical-ML use cases in low- and middle- income countries (LMICs) Charles Delahunt
(Global Health Labs)
charles.delahunt[at]ghlabs.org
H
Sep 18/ 8:00 AM to 3:00 PM (SGT time) Learning With Limited Supervision Jose Dolz
(ETS Montreal)
jose.dolz[at]etsmtl.ca
F
Sep 22/ 11:50 AM to 3:20 PM (SGT time) Federated Learning for Healthcare Spyridon Bakas
(University of Pennsylvania)
Spyridon.Bakas[at]pennmedicine.upenn.edu
H
Sep 22/ 12:40 PM to 3:20 PM (SGT time) Emerging topics in deep learning-based microscopy image analysis Yang Song
(University of New South Wales)
yang.song1[at]unsw.edu.au
H
Sep 22/ 8:00 AM to 11:30 AM (SGT time) GeoMedIA: Geometric Deep Learning in Medical Image Analysis Jelmer Wolterink
(University of Twente)
j.m.wolterink[at]utwente.nl
H
Sep 22/ 8:00 AM to 11:30 AM (SGT time) Trustworthy AI in Medical Imaging Marco Lorenzi
(INRIA)
marco.lorenzi[at]inria.fr
H
Sep 22/ 8:00 AM to 11:30 AM (SGT time) Tutorial on AI for medical image analysis in practice Thijs Kooi
(Lunit)
tkooi[at]lunit.io
H
Sep 22/ 8:00 AM to 11:30 AM (SGT time) Embedding deep neural networks within Cognitive AI for machine reasoning and automatic parameter tuning Muhammad Wahi-Anwar
(UCLA)
mwahianwar[at]mednet.ucla.edu
H
Sep 22/ 8:00 AM to 11:30 AM (SGT time) Automated Machine Learning (AutoML) and Neural Architecture Search (NAS) in Medical Image Analysis Dong Yang
(NVIDIA Corporation)
dongy[at]nvidia.com
H
Sep 22/ 8:00 AM to 3:00 PM (SGT time) Developing for the Medical AI Project Lifecycle with MONAI Michael Zephyr
(NVIDIA)
mzephyr[at]nvidia.com
F