Organ

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

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.