Medical Imaging meets NIPS

Schedule

Morning Session

08:45 AM Opening by Ben Glocker, Ender Konukoglu, Hervé Lombaert, Kanwal Bhatia

09:00 AM Shaping the future through innovations: Artificial intelligence for healthcare by Olivier Pauly (Siemens Healthineers)

09:30 AM Role of AI and Deep Learning in Radiology by Tanveer Syeda-Mahmood (IBM)

10:00 AM Pixel Perfectionism - Machine learning and Adaptive Radiation Therapy by Raj Jena (University of Cambridge & Microsoft Research)

10:30 AM Poster session and coffee break - Morning

11:00 AM Deep learning for cardiovascular image analysis by Ivana Isgum (University Medical Center Utrecht)

11:30 AM Deep learning for image reconstruction, segmentation and super-resolution in medical imaging by Daniel Rueckert (Imperial College London)

12:00 PM Biomedical Imaging and Genetic (BIG) Data Analytics in Dementia and Oncology by Wiro Niessen (Erasmus MC Rotterdam, Quantib)

Afternoon Session

01:30 PM Scikit-learn & nilearn: Democratisation of machine learning for brain imaging by Gael Varoquaux (INRIA)

02:00 PM The Multimodal Brain Tumor Segmentation Challenge by Bjoern Menze (Technische Universität München)

02:30 PM DeepLumen: Accurate Vessel Segmentation for Better Cardiovascular Care by Kersten Petersen (HeartFlow)

03:00 PM Poster session and coffee break - Afternoon

03:30 PM NiftyNet: An open-source community-driven framework for neural networks in medical imaging by M. Jorge Cardoso (University College London)

04:00 PM Winner of The Digital Mammography DREAM Challenge by Yaroslav Nikulin (Therapixel)

04:30 PM Panel discussion

05:15 PM Closing by Ben Glocker, Ender Konukoglu, Hervé Lombaert, Kanwal Bhatia