Neurological disease

Parnianpour, Pedram

 447 447 MaLMIC - Machine Learning in Medical Imaging Consortium

Pedram Parnianpour

Email: parnianp@ualberta.ca
Role: Graduate student
Affiliation: Neuroscience and Mental Health Institute, University of Alberta
Website: https://brainbypedram.com
Data to Share: –
Area(s) for Potential Collaboration: Data-driven disease subtyping and staging
Structural and functional MRI
Applied machine learning
Texture analysis
Multicenter data
Statistical analysis
Modality: MR
Organ: Brain
Disease: Neurological disease
Area of Research: Monitor Disease Progression in ALS

Batarchuk, Viktoriia

 495 495 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: batarchuk.viktoria@gmail.com
Role: Post-doctoral fellow
Affiliation: Lakehead University
Website: Viktoriia Batarchuk@Google Scholar
Area(s) for Potential Collaboration: Multimodality EEG-fMRI approach, generative models for image processing, ML algorithms for EEG recordings, functional MRI, hyperpolarized multinuclear MRI
Modality: MR, Other EEG
Organ: Brain
Disease: Neurological disease
Area of Research: Multimodal imaging integration, advanced image processing using machine learning and generative models approach, multinuclear MRI, functional MRI, molecular imaging

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.

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.

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