Breast

McIntosh, Chris

 400 400 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: chris.mcintosh@uhn.ca
Role: PhD faculty
Affiliation: University Health Network, and University of Toronto
Website: https://mcintoshml.github.io/
Data to Share: Contact for information
Area(s) for Potential Collaboration: Model development and cross-centre validation
Modality: Ultrasound, MR, CT, X-ray
Organ: Prostate, Breast, Cardiac, Brain, Lung, Head and Neck
Disease: Heart disease, Stroke and Cardiovascular, Respiratory disease, Cancer
Area of Research: Machine Learning, computer vision, medical image segmentation, radiomics, radiation therapy treatment planning, wearables

Lugez, Elodie

 912 1000 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: elodie.lugez@ryerson.ca
Role: PhD faculty
Affiliation: Department of Computer Science, Ryerson University
Website: https://www.ryerson.ca/laboratory-translational-medicine/
Modality: Ultrasound, MR
Organ: Prostate, Breast, Lung, Liver, Kidney, Head and Neck
Disease: Cancer, Liver disease
Area of Research: MR-guided radiotherapy, High-Dose-Rate Brachytherapy, Artificial Intelligence, Image Registration, Segmentation

Martin Yaffe

Yaffe, Martin

 1024 903 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: martin.yaffe@sri.utoronto.ca
Affiliation: Sunnybrook Research Institute / OICR
Data to Share: Please contact Dr. Yaffe
Area of Research: breast cancer imaging (breast tomosynthesis and contrast-enhanced mammography), digital pathology, imaging biomarkers, medical data integration

Gord Mawdsley

Mawdsley, Gord

 683 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: gord.mawdsley@sunnybrook.ca
Affiliation: Sunnybrook Research Institute
Data to Share: Breast Digital Mammography, Whole slide digital pathology
Area of Research: Mammography, Digital Pathology

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