Program
All invited talks (final program):
[8:00-8:20]
Dr. Leo Grady ("Personalized Blood Flow Simulation: Changing the Treatment
Paradigm for Cardiovascular Disease", Heartflow, Inc., USA)
[8:20-8:40]
Dr. Christophe Chefd'Hotel ("Computational Histopathology - Unlocking Tissue
Content in Precision Medicine", Roche Tissue
Diagnostics, USA)
[8:40-9:10]
Dr. Ronald M. Summers ("Towards per-voxel large-scale radiology image
parsing and understanding", NIH, USA)
[9:10-9:40]
Prof. Pascal Fua ("Using Machine Learning Techniques to Reconstruct
Complex Curvilinear Structures", EPFL, Switzerland)
[9:40-10:00] Prof. Tal Arbel ("Hierarchical Probabilistic Graphical Models for
the Detection and Segmentation of Multiple Sclerosis Lesions in Multicentre
Clinical Trial Datasets", McGill University, Canada)
[10:00-10:30]
Prof. William (Sandy) Wells, (“Invariant Feature-Based Analysis of Medical
Images”, Harvard Medical School, USA)
[10:30-10:50]
Prof. Rene Vidal ("Surgical gesture segmentation and recognition from
kinematic and video data", JHU, USA)
[10:50-11:10] Prof. Hayit
Greenspan ("Large Scale Chest Radiograph Categorization with Deep CNN and No Medical
Training", Tel-Aviv University, Israel)
[11:10-11:30]
Prof. Petia Radeva ("Using deep learning to detect small intestine
disorders", Universitat de Barcelona, Spain)
[11:30-11:50]
Prof. Ramesh Raskar, (“Retinal Predictive Health Analytics”, MIT, USA)
[11:50-12:10]
Dr. Hoo-chang Shin ("Deep mining in text/image on a hospital scale PACS
database: early findings", NIH, USA)
[12:10-12:30]
Dr. Tammy Riklin Raviv ("Big data - small training set: Addressing
Medical Image Analysis Bottlenecks", MIT, USA)
People