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
Email: Julia.Publicover@rmp.uhn.ca
Role: Research manager
Affiliation: Techna Institute, University Health Network
Website: https://qipcm.technainstitute.com/
Data to Share: contact for information
Area of Research: Clinical Trials, Cancer, Quantitative Imaging, Quality Assurance in Imaging
Email: tamara.jamaspishvili@gmail.com
Role: Adjunct Assistant Professor
Affiliation: Queen’s University, Kingston
Website: https://oicr.on.ca/investigators/tamara-jamaspishvili/
Data to Share: prostate cancer images (H&E, IHC)
Area of Research: Developing quantitative approaches for biomarker characterization for genitourinary and other cancers. Highly experienced in digital pathology using machine learning to discover new patterns in cancer phenotypes that might lead to a better prediction of disease outcomes and/or response to treatment. Interested to develop novel ways of measuring tissue-based biomarkers using artificial intelligence to better stratify the patients for disease management in personalized medicine.
Email: hojjat.salehinejad@gmail.com
Role: Post-doctoral fellow
Affiliation: University of Toronto
Website: http://individual.utoronto.ca/salehinejad/
Area of Research: Machine learning
Email: alik@robarts.ca
Role: PhD faculty
Affiliation: Western University & Robarts Research Institute
Website: http://www.khanlab.ca
Data to Share: Brain MRI, histology, ex vivo MRI
Area of Research: Computational neuroimaging
Email: mark@16bit.ai
Role: Industry
Affiliation: 16 Bit Inc.
Website: https://www.16bit.ai
Data to Share: x-rays, ultrasounds
Area of Research: AI for Osteoporosis and other clinically useful opportunistic screening applications, scaling AI into production, MLOPs