Stroke and Cardiovascular

Ukwatta, Eran

 188 188 MaLMIC - Machine Learning in Medical Imaging Consortium

Eran Ukwatta

Email: eukwatta@uoguelph.ca
Role: PhD faculty
Affiliation: University of Guelph
Website: https://www.uoguelph.ca/engineering/people/eranga-ukwatta-phd-peng
Data to Share: Not at the moment
Area(s) for Potential Collaboration: Machine Learning from Medical Image analysis
Modality: Ultrasound, MR, CT, Optical/Microscopy
Organ: Prostate, Cardiac, Lung, Kidney & Liver, Head and Neck
Disease: Heart disease, Stroke and Cardiovascular, Respiratory disease, Cancer, Kidney and Liver disease
Area of Research: Medical Image Analysis

Thornhill, Rebecca

 250 250 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: rthornhill@toh.ca
Role: PhD faculty
Affiliation: Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa
Website: https://med.uottawa.ca/radiology/people/thornhill-rebecca
Data to Share: Not directly at present, but welcome opportunity to facilitate discussions with my clinical collaborators
Area(s) for Potential Collaboration: cardiac MRI and 1H/31P MRS of cardiovascular and metabolic disorders; brain/heart and liver/heart interactions; developing approaches for evaluating patient and clinician satisfaction with explanations for ML model decisions in medical imaging in cancer and heart disease
Modality: MR, CT
Organ: Cardiac, Brain, Kidney & Liver
Disease: Heart disease, Stroke and Cardiovascular, Cancer
Area of Research: Magnetic resonance imaging and spectroscopy of cardiovascular and metabolic disorders; radiomics and machine learning in medical imaging, including neuroimaging, oncologic, and cardiovascular applications; developing approaches to explainable ML in medical imaging.

Singh, Paramdeep

 412 412 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: paramdeepdoctor@gmail.com
Role: MD faculty
Affiliation: All India Institute of Medical Sciences, Bathinda (India)
Website: https://orcid.org/0000-0003-4226-201X
Data to Share: MRI, CT, Xrays
Area(s) for Potential Collaboration: Radiomics
Modality: MR, CT, X-ray
Organ: Prostate, Breast, Cardiac, Brain, Lung, Musculoskeletal, Kidney & Liver, Head and Neck
Disease: Stroke and Cardiovascular, Respiratory disease, Cancer, Neurological disease, Kidney and Liver disease, Musculoskeletal disease
Area of Research: Medical Imaging, Global Health, Radiology

Chen, Elvis

 400 400 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: chene@robarts.ca
Role: PhD faculty
Affiliation: Robarts Research Institute/Western University
Website: https://www.robarts.ca/research/scientists/elvis_chen.html
Data to Share: ultrasound images
Area(s) for Potential Collaboration: Atherosclerosis, cancer, orthopaedics
Modality: Ultrasound
Organ: Liver, Cardiovascular
Disease: Heart disease, Stroke and Cardiovascular, Cancer, Liver disease
Area of Research: ultrasound-guided surgical intervention.

William, Wasswa

 400 400 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: wwasswa@must.ac.ug
Role: PhD faculty
Affiliation: Mbarara University of Science and Technology
Website: https://www.must.ac.ug/
Area(s) for Potential Collaboration: Artificial Intelligence for Health (AI4H), Data Science, Diagnostic Imaging
Modality: Ultrasound, MR, X-ray, Optical/Microscopy
Organ: Prostate, Breast, Brain
Disease: Stroke and Cardiovascular, Cancer, Kidney disease
Area of Research: Artificial Intelligence, Medical Image Analysis, Digital Health, Machine Learning

Zhang, Euan

 300 300 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: euan.zhang@medportal.ca
Role: MD faculty
Affiliation: Hamilton Health Sciences and Health Sciences North
Website: https://docs.google.com/document/d/1mxQUF4vbsiLv72gTNLAArRiPgws8Qc-t0K5lBIcUPLQ/edit?usp=sharing
Data to Share: Can acquire imaging datasets as needed
Area(s) for Potential Collaboration: Provide access to privately owned PACS server.
Provide expertise as a diagnostic neuroradiologist.
Modality: MR, CT, X-ray
Organ: Brain, Lung, Liver, Kidney, Head and Neck, Abdominal and pelvic organs
Disease: Stroke and Cardiovascular, Respiratory disease, Cancer, Neurological disease, Liver disease, Kidney disease
Area of Research: Neuroradiology, Thoracic radiology, Abdominal radiology

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

Ali T

Tavallaei, Ali

 1024 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: ali.tavallaei@ryerson.ca
Role: PhD faculty
Affiliation: Ryerson University
Website: https://www.ryerson.ca/electrical-computer-biomedical/people/faculty/ali-tavallaei/
Data to Share: Ultrasound
Modality: Ultrasound, MR
Organ: Cardiac, Vascular
Disease: Heart disease, Stroke and Cardiovascular
Area of Research: Systems and devices for minimally invasive cardiovascular interventions

Derek Beaton

Beaton, Derek

 400 400 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: derek.beaton@unityhealth.to
Role: Director, Advanced Analytics
Affiliation: Data Science & Advanced Analytics, St. Michael’s Hospital Toronto
Website: http://www.derekbeaton.com
Modality: MR, CT
Organ: Brain, Head and Neck
Disease: Stroke and Cardiovascular, Neurological disease
Area of Research: Statistics, ML, informatics. Previously in neurological disorders

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