Big Data and Deep Learning: New Avenues for MRI in MS?
8:30 Welcome and Introduction Frederik Barkhof and Hugo Vrenken
Part 1: Data sharing
8:35 Data Sharing: experiences from large projects
Prof. Mark Jenkinson, Nuffield Department of Clinical Neuroscience, University of Oxford
8:55 Segmentation / Development Challenges
Dr. Dzung Pham, Center for Neuroscience and Regenerative Medicine, NIH
9:15 Crowd Sourcing / Citizen Science
Dr. Charles Guttmann, Brigham & Women’s Hospital, Harvard Medical School, and University of Bordeaux
9:35 “Lesion annotations in MS: the Vall d’Hebron – Vicorob experience”
Dr. Deborah Pareto, Vall d’Hebron Hospital, Barcelona
9:55 Break – Serving coffee & tea with traditional Dutch cookies
10:15 “Open Science” versus Patient Privacy: The perspective of a privacy officer
Dr. Michel Paardekooper, Privacy Officer, VU University Medical Center, Amsterdam
10:35 “Open Science” versus Patient Privacy: The perspective of an MS researcher
Alexandra de Sitter, MSc, VU University Medical Center, Amsterdam
10:55 (Really) Big Data sources for MS: experiences from the Italian Neuroimaging Network Initiative and other initiatives
Dr. Mara Rocca, Ospedale San Raffaele, Milan
11:15 General Discussion Part 1
Part 2: Machine learning
11:30 Deep Learning and other techniques for general image analysis and interpretation
Dr. Cees Snoek, University of Amsterdam
11:50 Deep Learning and other techniques for medical image analysis and interpretation
Prof. Bram van Ginneken, Radboudumc, Nijmegen
12:10 Machine learning applications in MS brain imaging
Dr. Viktor Wottschel, VU University Medical Center, Amsterdam
12:30 Deep Learning and other techniques for analyzing Big Data
Dr. Jorge Cardoso, UCL, London
12:50 General Discussion Part 2
12:59 Final conclusions and closing of workshop
