PET

Jabbarpour, Amir

 1024 1024 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: ajabbarpour@ohri.ca
Role: Graduate student
Affiliation: Carleton University, The Ottawa Hospital
Website: https://ir.linkedin.com/in/amir-jabbarpour
Data to Share: No data to share ye
Area(s) for Potential Collaboration: Cycle GAN, Radiotherapy, Nuclear Medicine, Medical Image Preprocessing
Modality: MR, CT, PET, SPECT, X-ray
Organ: Prostate, Breast, Brain, Lung
Disease: Respiratory disease, Cancer
Area of Research: AI in Radiotherapy
AI in lung VQ scans for detecting PE

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.

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