Kidney and Liver disease

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

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

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.

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

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.

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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