Modality

Orlando, Nathan

 1007 1007 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: norland2@uwo.ca
Role: Graduate student
Affiliation: Western University and Robarts Research Institute
Website: https://scholar.google.com/citations?user=wAUTwR8AAAAJ&hl=en
Area(s) for Potential Collaboration: Ultrasound image processing, prostate segmentation, brachytherapy
Modality: Ultrasound
Organ: Prostate
Disease: Cancer
Area of Research: Deep learning solutions for improving ultrasound-guided minimally invasive interventions for prostate cancer diagnosis and treatment, including biopsy and brachytherapy.

Andrews, David

 300 300 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: david.andrews@sri.utoronto.ca
Role: PhD faculty
Affiliation: Sunnybrook Research Institute & University of Toronto
Website: http://andrewslab.ca/
Data to Share: Please contact for information
Area(s) for Potential Collaboration: Cancer research, Molecular membrane biology, High-content screening, Automated image analysis, Apoptosis
Modality: Optical/Microscopy
Organ: Breast
Disease: Cancer
Area of Research: Cancer research, Molecular membrane biology, High-content screening, Automated image analysis, Apoptosis

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

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.

Sajja, Shailaja

 1024 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: Shailaja.Sajja@rmp.uhn.ca
Role: Analyst
Affiliation: TECHNA, UHN
Website: https://qipcm.technainstitute.com/
Data to Share: Contact for information
Area(s) for Potential Collaboration: Medical Imaging. Contact for further information.
Modality: CT, X-ray
Organ: Brain, Lung
Disease: Respiratory disease
Area of Research: Currently learning about upcoming areas in medical imaging such as: radiomics, theranostics and others. Prior research was in the domain of dual energy, digital tomosynthesis , cone beam CT and phantoms.

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

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

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

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