Modality

Haider, Masoom

 768 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: m.haider@utoronto.ca
Role: MD faculty
Affiliation: University of Toronto, Joint Dept of Medical Imaging, UHN, Sinai Health System
Website: https://www.haiderlab.ca/
Data to Share: OPen to multicenter trial in Porstate Cancer and Pancreatic Cancer with MRI and CT
Area(s) for Potential Collaboration: Interested in collaboration that can provide semantic segmentation of medical images to accelerate radiologist annotation of CT and MRI images (Abdominal and Pelvic). Specifically organ segmentation with CT and MRI, and tumor segmentation. Interested in models that combine imaging with prognostication and prediction. Interested in models that allow for predcitoin and prognostication in the cancer setting
Modality: MR, CT
Organ: Prostate, Liver, Kidney, Pancreas
Disease: Cancer
Area of Research: Imaging biomarker discovery using CT and MRI in abdominal and pelvic malignancies with a focus on pancreatic (CT and MRI) and prostate (MRI) cancers and some work in Renal cell carcinoma and HCC (secondary).

Jessica Rodgers

Rodgers, Jessica

 578 578 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: jessica.rodgers@queensu.ca
Role: Post-doctoral fellow
Affiliation: Queen’s University
Website: https://www.researchgate.net/profile/Jessica-Rodgers
Area(s) for Potential Collaboration: Processing and analysis of ultrasound images, needle/catheter segmentation, gynecologic imaging, breast applications, and brachytherapy
Modality: Ultrasound
Organ: Prostate, Breast, Gynecologic
Disease: Cancer
Area of Research: Creating clinically translatable tools to improve cancer interventions, including image guidance for radiotherapy of gynecologic and prostate cancers and navigation approaches for breast-conserving surgery.

Tessier, David

 576 576 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: dtessie2@uwo.ca
Role: Research manager
Affiliation: The University of Western Ontario
Website: https://www.uwo.ca/
Data to Share: Ultrasound anatomical or phantom images
Area(s) for Potential Collaboration: Deep or machine learning on 3D ultrasound images, some of which were acquired alongside CT or MR.
Modality: Ultrasound
Organ: Prostate, Liver, Kidney
Disease: Cancer, Neurological disease, Liver disease
Area of Research: Ultrasound guided procedures for improving interventional precision and accuracy.

Mattonen, Sarah

 1024 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: sarah.mattonen@uwo.ca
Role: PhD faculty
Affiliation: Western University
Website: https://www.bainesimaging.com/dr-sarah-mattonen.html
Data to Share: Contact for information
Area(s) for Potential Collaboration: Machine learning algorithm development and validation, lung cancer surgical outcome prediction, head and neck radiotherapy, oligometastatic disease.
Modality: MR, CT, PET
Organ: Lung, Musculoskeletal, Head and Neck
Disease: Cancer
Area of Research: Translational cancer Imaging, medical image analysis, radiomics, machine learning, radiation therapy.

Martel, Anne

 374 374 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: a.martel@utoronto.ca
Role: PhD faculty
Affiliation: Sunnybrook Research Institute / University of Toronto
Website: https://scholar.google.ca/citations?hl=en&user=y7u4Ea8AAAAJ&view_op=list_works&sortby=pubdate
Data to Share: https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=52758117
Area(s) for Potential Collaboration: Computational Pathology, AI algorithm development, Survival prediction, Breast imaging
Modality: MR, X-ray, Optical/Microscopy
Organ: Breast, Liver, Other Hematopathology
Disease: Cancer
Area of Research: Medical image and digital pathology analysis, particularly on applications of machine learning for segmentation, diagnosis, and prediction/prognosis. Co-founder of Pathcore, a software company developing complete workflow solutions for digital pathology.

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

Fenster, Aaron

 400 400 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: afenster@robarts.ca
Role: PhD faculty
Affiliation: Western University
Website: https://www.robarts.ca/research/scientists/fenster_aaron.html
Data to Share: 3D ultrasound and MRI images of the prostate
Area(s) for Potential Collaboration: segmentation, classification, and registration of 2D and 3D ultrasound images.
Modality: Ultrasound
Organ: Prostate, Breast, Liver
Disease: Cancer, Musculoskeletal disease
Area of Research: Image-guided intervention, 3D ultrasound

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

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

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