Cancer

Baldauf-Lenschen, Felix

 909 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: felix@altislabs.com
Role: Industry
Affiliation: Altis Labs, Inc.
Website: https://www.altislabs.com/
Data to Share: >65,000 longitudinal CTs of NSCLC patients with associated clinical information (i.e. diagnostic, treatment history, demographics, outcomes). >33,000 chest x-rays of pneumonia and COVID-19 patients with associated clinical information (demographics, diagnostics, comorbidities, outcomes).
Area(s) for Potential Collaboration: 1) Prognostic imaging biomarker development (solid tumors, cardiology, respiratory diseases, neurology)
2) Annotation software for AI development
Modality: CT, X-ray
Organ: Lung
Disease: Heart disease, Respiratory disease, Cancer, Neurological disease, Liver disease, Kidney disease
Area of Research: Prognostic imaging biomarkers, labeling software development.

Narinder Paul

Paul, Narinder

 560 560 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: narinder.paul@lhsc.on.ca
Role: MD faculty
Affiliation: Western University
Website: https://www.schulich.uwo.ca/medimaging/about_us/chairs_message.html
Modality: MR, CT, X-ray
Organ: Cardiac, Lung
Disease: Heart disease, Respiratory disease, Cancer
Area of Research: Cardiothoracic, Lung Cancer

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

julia-publicover

Publicover, Julia

 560 560 MaLMIC - Machine Learning in Medical Imaging Consortium

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

Tamara Jamaspishvili

Jamaspishvili, Tamara

 1024 681 MaLMIC - Machine Learning in Medical Imaging Consortium

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.