CVF/CVPR Medical Computer Vision Workshop (Virtual)
Organizers:
Le Lu (PAII Inc., USA), Nicolas Padoy (University of Strasbourg, France), Tal Arbel (McGill University, Canada), Lena Maier-Hein (German Cancer Research Center), Qi Dou (The Chinese University of Hong Kong), Vasileios Belagiannis (Universität Ulm, Germany)
Date:
June 20th, 2021
Thanks to all the speakers who made this virtual event a great success!
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The talks can still be watched below.
Link to MCV@CVPR22
Program
The program features invited talks from leading researchers from academia, clinician and industry.
7:55 AM - 8:00 AM , Live Introduction
8:00 AM - 9:40 AM , Session 1, Live Stream
- CV4CAI: Computer Vision for Computer Assisted Interventions
Prof. Nassir Navab, Professor, Technical University of Munich, Germany (Live talk)
- MD + Machine: Reimagining Surgical Oncology in the Age of Learning Models
Prof. Parvin Mousavi, Professor, Queen’s University, Canada
- Values of AI-based Medical Images -- from a Clinician Point of View
Prof. Dorothy Tzu-Chen Yen, Professor & Director, Oncologist, Department of Nuclear Medicine and the Center for Advanced Molecular Imaging and Translation, Chang Gung University and Chang Gung Memorial Hospital, Linkou, Taiwan
- Anomaly Detection and Localisation in Medical Image Analysis
Prof. Gustavo Carneiro, Professor, University of Adelaide, Australia
9:40 AM - 10:10 AM, Session 1, Live Q&A / Panel
- Moderators: Vasileios Belagiannis & Qi Dou
- Panel: Nassir Navab, Parvin Mousavi, Dorothy Tzu-Chen Yen, Gustavo Carneiro
Coffee Break (10:10 AM - 10:30 AM)
10:30 AM - 12:10 PM , Session 2, Live Stream
- AI in Endoscopy and Minimally Invasive Surgery
Prof. Philip Wai-Yan Chiu, Professor, Surgeon, Department of Surgery, and Director of Jockey Club Minimally Invasive Surgical Skills Centre, The Chinese University of Hong Kong, Hong Kong
- Video Analysis for Context-aware Assistance in Surgery
Prof. Stefanie Speidel, Professor, National Center for Tumor Diseases (NCT) Dresden, Germany
- On Vessels and Networks
Prof. Björn Menze, Professor, University of Zurich, Switzerland
- A New Era of Endoscopy: Detection, Diagnosis and Beyond
Dr. Peter Mountney, CEO, Odin Vision, UK
12:10 PM - 12:40 PM , Session 2, Live Q&A / Panel
- Moderators: Lena Maier-Hein & Nicolas Padoy
- Panel: Philip Wai-Yan Chiu, Stefanie Speidel, Björn Menze, Peter Mountney
Coffee Break (12:40 PM - 1:00 PM)
1:00 PM - 2:40 PM , Session 3, Live Stream
- nnU-Net: Automated Design of Deep Learning Methods for Biomedical Image Segmentation
Dr. Paul F. Jaeger and Fabian Isensee, German Cancer Research Center, Germany
- Towards Deep Federated Learning in Healthcare
Dr. Shadi Albarqouni, Helmholtz Zentrum München, Germany
- Seeing Through the Heart: Fiber Geometry at the Nanoscale
Prof. Kaleem Siddiqi, Professor, McGill University, Canada (Live talk)
- Combining visual computing with machine learning for advancing medical diagnosis and image-guided intervention
Dr. Wolfgang Wein, CEO, ImFusion, Germany (Live talk)
2:40 PM - 3:10 PM , Session 3, Live Q&A / Panel
- Moderators: Tal Arbel & Lena Maier-Hein
- Panel: Paul F. Jaeger, Fabian Isensee, Shadi Albarqouni, Kaleem Siddiqi, Wolfgang Wein
Coffee Break (3:10 PM - 3:30 PM)
3:30 PM - 5:10 PM , Session 4, Live Stream
- The Role of AI in the Earlier Detection of Pancreatic Cancer: The Felix Project
Prof. Elliot Fishman, Professor, Radiologist/Oncologist, JHMI, USA
- Diagnose Like a Doctor: Integrating Domain Knowledge into Medical AI
Dr. Yuyin Zhou, Postdoc, Stanford, AIMI, USA
- Self-supervised Learning and 3D Vision Under Photometric Incosistency for Quantitative Endoscopy
Prof. Mathias Unberath, Assistant Professor, Johns Hopkins University, USA
- “Big AI” in Radiology with better representations
Prof. Sotirios A. Tsaftaris, Professor, University of Edinburgh, UK (Live talk)
5:10 PM -5:40 PM , Session 4, Live Q&A / Panel
- Moderators: Le Lu & Tal Arbel
- Panel: Elliot Fishman, Sotirios A. Tsaftaris, Yuyin Zhou, Mathias Unberath
Videos
Prof. Parvin Mousavi (Queen’s University, Canada) - "MD + Machine: Reimagining Surgical Oncology in the Age of Learning Models"
Prof. Dorothy Tzu-Chen Yen (Chang Gung University, Taiwan) - "Values of AI-based Medical Images -- from a Clinician Point of View"
Prof. Gustavo Carneiro (University of Adelaide, Australia) - "Anomaly Detection and Localisation in Medical Image Analysis"
Prof. Philip Wai-Yan Chiu (The Chinese University of Hong Kong, Hong Kong) - "AI in Endoscopy and Minimally Invasive Surgery"
Prof. Stefanie Speidel (National Center for Tumor Diseases (NCT) Dresden, Germany) - "Video Analysis for Context-aware Assistance in Surgery"
Prof. Björn Menze (University of Zurich, Switzerland) - "On Vessels and Networks"
Dr. Paul F. Jaeger (German Cancer Research Center, Germany) - "nnU-Net: Automated Design of Deep Learning Methods for Biomedical Image Segmentation"
Dr. Shadi Albarqouni (Helmholtz Zentrum München, Germany) - "Towards Deep Federated Learning in Healthcare"
Prof. Elliot Fishman (JHMI, USA) - "The Role of AI in the Earlier Detection of Pancreatic Cancer: The Felix Project"
Dr. Yuyin Zhou (Stanford, AIMI, USA) - "Diagnose Like a Doctor: Integrating Domain Knowledge into Medical AI"
Prof. Mathias Unberath (Johns Hopkins University, USA) - "Self-supervised Learning and 3D Vision Under Photometric Incosistency for Quantitative Endoscopy"