IMICS Members

Farzad Khalvati, PhD, Principal Investigator: Dr. Farzad Khalvati is Endowed Chair in Medical Imaging and Artificial Intelligence at The Hospital for Sick Children (SickKids) and University of Toronto. He is also an Associate Scientist at SickKids Research Institute and Department of Diagnostic Imaging. He is an Assistant Professor in the Department of Medical Imaging and Institute of Medical Science, with a cross appointment to the Department of Mechanical and Industrial Engineering at the University of Toronto. He is also a Faculty Affiliate at Vector Institute. Dr. Khalvati received his PhD in Electrical and Computer Engineering from University of Waterloo in 2009 and before joining University of Toronto, he worked as an imaging and AI scientist in biomedical industry and then as a Postdoctoral Research Associate at Sunnybrook Research Institute. Dr. Khalvati is a recipient of several awards from NSERC, OCE, and CIHR and his dissertation was selected and patented by the University of Waterloo Commercialization Office.

Dr. Khalvati’s research is currently funded by:

  • Chair in Medical Imaging and Artificial Intelligence, a joint Hospital-University Chair between the University of Toronto, The Hospital for Sick Children, and the SickKids Foundation
  • Huawei Technologies Canada
  • AMS Healthcare

Ernest (Khashayar) Namdar, MASc, MEng, Machine Learning Researcher

Saman Motamed, MSc Candidate, Institute of Medical Science, University of Toronto

Kareem Kudus (with Dr. Birgit Ertl-Wagner) , MSc Candidate, Institute of Medical Science, University of Toronto

Partoo Vafaeikia, MSc Candidate, Institute of Medical Science, University of Toronto

Sajith Rajapaska, MSc Candidate, Institute of Medical Science, University of Toronto

Zilun Zhang, MEng Student, Department of Mechanical and Industrial Engineering, University of Toronto

Kevin Wang, BSc Thesis, Engineering Science, University of Toronto

Capstone Projects, Department of Mechanical and Industrial Engineering

  • ¬†Artificial Intelligence-based pediatric-specific solution for touchless interaction using voice control during image guided surgeries. Christina Seo, Bayaan Shalaby, Sheree Zhang, Litong Zheng, 2020-2021
  • A front-end graphical user interface module design and implementation for Radiomics analytics pipeline in medical imaging using PyQt. Ines Gomes, Samuel McCulloch, Gabriella Tolnai, Lora Tyufekchieva, 2020-2021.

Alumni

Ruqian Hao, Visiting PhD Scholar (2019-2020) (Now PhD Candidate at School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China)

Projects:

A Transfer Learning Based Active Learning Framework for Brain Tumor Classification, arXiv, 2020

A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks, arXiv, 2020

Yucheng Zhang (with Dr. Masoom Haider) (2017-2019), MSc, (Now Medical Student at University of Toronto)

Thesis: Deep Radiomics Analytics Pipeline for Prognosis of Pancreatic Ductal Adenocarcinoma

Junjie Zhang (with Dr. Masoom Haider) (2015-2017), Postdoctoral Fellow (Now Research Data Scientist at RBC Capital Markets)

Undergraduate Research Assistants

Julia Le (2018) (Now MSc student at University of Toronto)

Saman Motamed (2018-2019) (Now MSc student at University of Toronto)

Jacob Yoo (2017, 2019) (Now MSc student at York University)

Yucheng Zhang (2015-2017) (Now Medical Student at University of Toronto)

Tyler Clark (2016-2017)

Harry Kim (2018)

Jeffrey Francis (2017)

Dylan Clark (2017)

Steve Ming (2015)

Derek Jedral (2015)

Nilaan Gunabalachandran (2015)