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 |