Deep Learning and Medical Applications

January 27 - 31, 2020

Schedule


Monday, January 27, 2020
9:00 - 9:50
10:15 - 11:05
11:30 - 12:20
Michael Unser (École Polytechnique Fédérale de Lausanne (EPFL))

Splines and imaging: From compressed sensing to deep neural networks
PDF Presentation

 
2:30 - 3:20
Stanley Osher (University of California, Los Angeles (UCLA))

Trustworthy deep learning
PDF Presentation

 
4:30 - 5:30
Jill Mesirov (University of California, San Diego (UCSD))

Can We Use Genomics to Better Understand and Treat Cancer?

 

Tuesday, January 28, 2020
9:00 - 9:50
Ulugbek Kamilov (Washington University in St. Louis)

Computational Imaging: Reconciling Models and Learning
PDF Presentation

 
10:15 - 11:05
11:30 - 12:20
Georg Langs (Medizinische Universität Wien)

Deep learning for anomaly detection: expanding our marker vocabulary

 
1:45 - 2:35
Gitta Kutyniok (Technische Universität Berlin)

Deep Learning and Modeling: Taking the Best out of Both Worlds
PDF Presentation

 
3:00 - 3:50
Jong Chul Ye (Korea Advanced Institute of Science and Technology (KAIST))

Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction
PDF Presentation

 
4:30 - 5:30
Jill Mesirov (University of California, San Diego (UCSD))

Computational Genomic Approaches to the Understanding and Treatment of Cancer

 

Wednesday, January 29, 2020
9:00 - 9:50
Jill Mesirov (University of California, San Diego (UCSD))

Molecular signatures drive the understanding and treatment of cancer

10:15 - 11:05
Ivana Isgum (Amsterdam University Medical Center)

Deep learning for cardiovascular image analysis
PDF Presentation

 
11:30 - 12:20
2:30 - 3:20
Bao Wang (University of California, Los Angeles (UCLA))

Momentum in Stochastic Gradient Descent and Deep Neural Nets
PDF Presentation

 
4:00 - 4:50
Pablo Suarez-Serrato (National Autonomous University of Mexico (UNAM))

Quantifying the Topology of Coma

 

Thursday, January 30, 2020
9:00 - 9:50
10:15 - 11:05
11:30 - 12:20
2:00 - 2:50
3:15 - 4:05
Ben Glocker (Imperial College)

Causality matters in medical imaging
PDF Presentation

 

Friday, January 31, 2020
9:00 - 9:50
Marc Niethammer (University of North Carolina)

Deep Learning for Medical Image Registration

 
10:15 - 11:05