Medical Computer Vision Workshop @ CVPR 2020

Organizers: Nicolas Padoy (University of Strasbourg, France), Tal Arbel (McGill University, Canada), Le Lu (PAII Inc. & Johns Hopkins University, USA), Leo Grady (PAIGE, USA)

Program

The MCV workshop will be held virtually this year. The program features invited talks from leading researchers from both academia and industry. The pre-recorded talks are available on the website for offline viewing and will also be streamed on June 15th using Zoom Webinar. On June 15th, each session will be followed by live Q&A/Panels with the speakers: please register here to get the Zoom Webinar link (same link for all sessions).

All the times below are PDT (Seattle).


7:55-8:00 Live Introduction

8:00-10:00 Session 1: Pre-recorded talks

  • Dr. Ayelet Akselrod-Ballin & Raouf Muhamedrahimov (Zebra Medical Vision) - “Medical imaging research in industry” - #1
  • Prof. Dan Stoyanov (University College London, UK) - "Understanding Surgical Scenes with Vision" - #2
  • Prof. Lena Maier-Hein (DFKZ, Germany) - "Uncertainty Handling in Surgical Data Science" - #3
  • Prof. Purang Abolmaesumi (University of British Columbia, Canada) - “Point of Care Imaging: From Bench to Bedside” - #4

10:00-10:30 Session 1: Live Q&A / Panel

  • Moderators: Nicolas Padoy & Tal Arbel
  • Panel: Ayelet Akselrod-Ballin, Raouf Muhamedrahimov, Dan Stoyanov, Lena Maier-Hein, Purang Abolmaesumi


10:30-12:00 Session 2: Pre-recorded talks

  • Prof. Georg Langs (Medical University of Vienna, Austria) - "Using Machine Learning for Discovery in Medical Imaging: Expanding our Marker Vocabulary" - #5
  • Prof. Qi Dou (Chinese University of Hong Kong, China) - "Deep Model Generalization for Medical Image Analysis" - #6
  • Prof. Julia A. Schnabel (King’s College London, UK) - "Smart cardiac imaging" - #7

12:00-12:30 Session 2: Live Q&A / Panel

  • Moderators: Tal Arbel & Nicolas Padoy
  • Panel: Georg Langs, Qi Dou, Julia A. Schnabel

13:30-15:30 Session 3: Pre-recorded talks

  • Dr. Dakai Jin (PAII, USA) - "Recent Advances on Accurate Parsing and Segmentation of GTV/CTV/OAR for Head-and-neck Cancer Radiation Therapy Planning" - #8
  • Prof. Chris Kanan (Paige.ai and Rochester Institute of Technology, USA): “Clinical grade AI for computational pathology” - #9
  • Dr. Martin Stumpe (Tempus, USA) - "Towards Precision Medicine with Machine Learning and Computer Vision" - #10
  • Dr. Aicha BenTaieb (Roche, USA) - “Computational Pathology: From Cancer Diagnostic to Precision Medicine” - #11

15:30-16:00 Session 3: Live Q&A / Panel

  • Moderators: Leo Grady & Le Lu
  • Panel: Dakai Jin, Chris Kanan, Martin Stumpe, Aicha BenTaieb


16:00-17:30 Session 4: Pre-recorded talks

  • Prof. James Duncan (Yale, USA) - "Neuroimage Analysis in Autism: from Model-Based Estimation to Data-driven Learning" - #12
  • Prof. Jerry Prince (Johns Hopkins, USA) - "No-atlas Super-resolution for Anisotropic Voxels in Medical Imaging" - #13
  • Prof. Sandy Wells (Harvard Medical School) - “Machine Learning and Image Registration for Neurosurgical Application” - #14

17:30-18:00 Session 4: Live Q&A / Panel

  • Moderators: Le Lu & Leo Grady
  • Panel: James Duncan, Jerry Prince, Sandy Wells


The MCV workshop is sponsored by

Nvidia

Videos

#1 - Dr. Ayelet Akselrod-Ballin & Raouf Muhamedrahimov (Zebra Medical Vision) - “Medical imaging research in industry”

#2 - Prof. Dan Stoyanov (University College London, UK) - "Understanding Surgical Scenes with Vision"

#3 - Prof. Lena Maier-Hein (DFKZ, Germany) - "Uncertainty Handling in Surgical Data Science"

#4 - Prof. Purang Abolmaesumi (University of British Columbia, Canada) - “Point of Care Imaging: From Bench to Bedside”

#5 - Prof. Georg Langs (Medical University of Vienna, Austria) - "Using Machine Learning for Discovery in Medical Imaging: Expanding our Marker Vocabulary"

#6 - Prof. Qi Dou (Chinese University of Hong Kong, China) - "Deep Model Generalization for Medical Image Analysis"

#7 - Prof. Julia A. Schnabel (King’s College London, UK) - "Smart cardiac imaging"

#8 - Dr. Dakai Jin (PAII, USA) - "Recent Advances on Accurate Parsing and Segmentation of GTV/CTV/OAR for Head-and-neck Cancer Radiation Therapy Planning"

#9 - Prof. Chris Kanan (Paige.ai and Rochester Institute of Technology, USA): “Clinical grade AI for computational pathology”

#10 - Dr. Martin Stumpe (Tempus, USA) - "Towards Precision Medicine with Machine Learning and Computer Vision"

#11 - Dr. Aicha BenTaieb (Roche, USA) - “Computational Pathology: From Cancer Diagnostic to Precision Medicine”

#12 - Prof. James Duncan (Yale, USA) - "Neuroimage Analysis in Autism: from Model-Based Estimation to Data-driven Learning"

#13 - Prof. Jerry Prince (Johns Hopkins, USA) - "No-atlas Super-resolution for Anisotropic Voxels in Medical Imaging"

#14 - Prof. Sandy Wells (Harvard Medical School) - “Machine Learning and Image Registration for Neurosurgical Application”