ICCR 2019 will feature presentations on computer-driven radiation oncology studies and underlying computational techniques.

Computer-Driven Radiation Oncology Studies

A variety of excellent presentations are anticipated roughly falling under three broad areas:

1. 1. Big data applications – robust radiomics, image analysis, segmentation, patterns of practice and patient-reported outcomes
   2. AI and automation – next-generation treatment planning, adaptive radiotherapy, automated QA, patient safety
   3. Radiobiological applications – non-uniform doses, outcome-driven planning, outcome modelling and radiogenomics

Computational Techniques

The underlying computational techniques that will be presented include:

• Deep learning
• Automation methods
• Robust radiomics
• Dose quantification algorithms
• Natural language processing
• Data structures
• Ontologies
• Data collection infrastructures
• Optimization algorithms
• Software development
• Workflow management
• Patient modelling
• Real-time image analysis

The Scientific Committee

Co-Chairs

John Kildea, McGill University, Montreal
Jan Seuntjens, McGill University, Montreal

International Membership of the Scientific Committee

Thomas Bortfeld, Harvard University, Massachusetts
Kristy Brock, MD Anderson Cancer Center, Texas
Åsa Carlsson Tedgren, Karolinska Institutet, Stockholm
Joe Deasy, Memorial Sloan Kettering Cancer Center, New York
Issam El-Naqa, University of Michigan
Claudio Fiorino, San Raffaele Institute, Milan
Sarah Gulliford, University College Hospital London
Yi-Min Hu, The Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Satoshi Ishikura, Nagoya City University
Marc Kessler, University of Michigan
Mary Martel, MD Anderson Cancer Center, Texas
Todd McNutt, Johns Hopkins University, Maryland
Kevin Moore, University of California San Diego
Stephen Tozer-Loft, Sheffield Teaching Hospitals NHS Foundation Trust

Canadian Membership of the Scientific Committee

Magdalena Bazalova-Carter, University of Victoria
Timothy Chan, University of Toronto
Nicolas Chapados, Element AI and Imagia Inc., Montreal
Philippe Després, Université Laval, Quebec
David Jaffray, University of Toronto
Nadia Lahrichi, Polytechnique Montréal
Cynthia Menard, Université de Montréal
Joelle Pineau, McGill University, Montreal
Tom Purdie, University of Toronto
James Robar, Dalhousie University, Halifax

The Local Organizing Committee

Louis Archambault, Université Laval
François DeBlois, Centre hospitalier de l’Université de Montréal
Shirin Abbasinejad Enger, McGill University
Tarek Hijal, McGill University
Rafael Khatchadourian, Hôpital Maisonneuve-Rosemont
John Kildea, McGill University
Ives Levesque, McGill University
Piotr Pater, McGill University
Eric Reynard, PEI Cancer Treatment Centre
Louis-Martin Rousseau, École Polytechnique de Montréal
Jan Seuntjens McGill University