Featured Speakers at ICCR

 

Keynote Speakers

 

Yoshua Bengio

Department of Computer Science and Operations Research, Université de Montréal, Canada

Deep Learning for Healthcare

Joelle Pineau

School of Computer Science, McGill University, Canada

Monte Carlo and Machine Learning in Radiotherapy Treatment Planning

Ilya Shpitser

Department of Computer Science, Johns Hopkins University, USA

Causal Inference and Applications in Medicine and Radiotherapy

 

Invited Speakers

 

Kristy Brock

Department of Imaging Physics, MD Anderson Cancer Center, USA

Deformable Registration and Dose Accumulation in Radiation Therapy

Joe Deasy

Department of Medical Physics, Memorial Sloan Kettering Cancer Center, USA

Outcomes-driven radiotherapy treatment planning: How close are we and what do we need?

Issam El Naqa

Radiation Oncology, University of Michigan, USA

Integrating Biology and Physics into Treatment Management

Mathieu Hatt

Institut national de la santé et de la recherche médicale, France

Radiomics Harmonization in Radiation Oncology

David Jaffray

Princess Margaret Cancer Centre, University Health Network, Canada

Towards Machine Learning Health Systems – from Big Data to the Big Machine

Nadia Lahrichi

Department of Mathematical and Industrial Engineering, Polytechnique Montreal, Canada

Flow Optimization in Radiotherapy Centers

Chuck Mayo

Radiation Oncology, University of Michigan, USA

Leveraging Clinical Big Data to Bring AI into Clinical Practice

Tiziana Rancati

Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy

External Validation of Predictive Models of Toxicity

Harini Veeraraghavan

Department of Medical Physics, Memorial Sloan Kettering Cancer Center, USA

Cross Modality Educed Deep Learning Applied to Image Segmentation for Radiation Therapy














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