Brain

Bériault, Silvain

768 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email:silvain.beriault@elekta.com
Role: Industry
Affiliation: Elekta
Website: https://www.elekta.com
Data to Share: Contact for information
Area(s) for Potential Collaboration: Motion management and online adaptation in radiotherapy
Modality: MR, CT
Organ: Prostate, Breast, Brain, Lung, Kidney & Liver, Head and Neck
Disease: Cancer
Area of Research: MR-guided adaptive radiotherapy, artificial intelligence, motion management, image registration, auto-contouring, image-to-image translation

DeVries, David

1024 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: ddevrie8@uwo.ca
Role: Graduate student
Affiliation: Western University
Website: https://www.bainesimaging.com/
Modality: MR, CT
Organ: Brain
Disease: Cancer
Area of Research: Prediction of Brain Metastasis Response to Radiation Treatment using Imaging

Stanescu, Teo

400 400 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: teodor.stanescu@rmp.uhn.ca
Role: PhD faculty
Affiliation: Princess Margaret Cancer Centre & University of Toronto
Website: http://www.uhnresearch.ca/researcher/teodor
Data to Share: Image data
Area(s) for Potential Collaboration: Image synthesis (MR/CT)
Data classification and prediction
Disease modelling and prediction of outcomes
Management of image quality
Modality: MR, CT, PET, X-ray
Organ: Prostate, Breast, Cardiac, Brain, Lung, Liver, Kidney
Disease: Cancer
Area of Research: Imaging: diagnosis, treatment planning, treatment guidance, follow-up, QA/QC
Radiation Therapy

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

Sajja, Shailaja

686 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.

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

Ali Khan

Khan, Ali

375 375 MaLMIC - Machine Learning in Medical Imaging Consortium

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