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Professor, Faculty of Arts and Science, School of Computing, Queen’s University
Canada CIFAR Artificial Intelligence Chair
Parvin Mousavi is a Professor of Computer Science, Medicine, Pathology and Biomedical and Molecular Sciences at Queen’s University, and a member of the Royal Society of Canada, College of New Scholars. She received her PhD from the University of British Columbia, Canada and her MSc from Imperial College, UK. She has previously held a Senior Scientist position at Brigham and Women’s Hospital in Boston and visiting professorships at Harvard Medical School and the University of British Columbia. Her research focus is on developing and leveraging machine learning in computer assisted medical interventions and precision medicine, contributing to the societal impact of AI on the global community. She also leads training of the next generation of AI talent through a multi-institutional NSERC CREATE Training program in Medical Informatics at the intersection of machine learning and digital health.
Research Interests
Machine Learning in Computer Assisted Diagnosis and Interventions
Image-Guided Interventions
Ultrasound Imaging
Medical Image Computing
Computational Biology
Bioinformatics
Systems Biology
Highlights
Member of the Royal Society of Canada – College of New Scholars, Artists and Scientists
Fellow, Medical Image Computing and Computer Assisted Interventions, 2021
IEEE Canada C.C. Gotlieb Computer Medal, 2019
Creative Destruction Laboratory Ideas Award, 2018
Scientific Advisory Board, the German National Center for Tumor Disease, 2023-28
Review Board, Imaging and Radio-oncology, the German Cancer Research Center, 2023
Advisory Board, National Center for Image Guided Therapy, Brigham and Women’s Hospital, Harvard Medical School, 2021-
G7 Academy of Sciences – Representative of Royal Society of Canada on AI, 2018-2019
Co-Founder and Executive Committee, Women in MICCAI (WI-MICCAI)
Program co-Chair Medical Image Computing and Computer Assisted Interventions (MICCAI) 2023
Program co-Chair, Data Science and Learning Workshop, IEEE Signal Processing Society, 2022
Steering Committee and Board, Information Processing in Computer Assisted Interventions, IPCAI 2020-
Associate Editor, IEEE Symposium on Biomedical Imaging (ISBI), 2021.
General Chair, Information Processing in Computer Assisted Interventions, IPCAI, 2017-2020
Program co-Chair, Data Science and Learning Workshop, IEEE Signal Processing Society, 2021
General Chair, Information Processing in Computer Assisted Interventions, IPCAI, 2017-2020
Sponsorships and Industry Relations Chair, MICCAI 2020
Publications
Multi-catheter modelling in reconstructed 3D transrectal ultrasound images from prostate brachytherapy
Nicole Kitner and Jessica R Rodgers and Tamas Ungi and Martin Korzeniowski and Timothy Olding and Parvin Mousavi and Gabor Fichtinger
2023
A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification
Tashifa Imtiaz and Jina Nanayakkara and Alexis Fang and Danny Jomaa and Harrison Mayotte and Simona Damiani and Fiza Javed and Tristan Jones and Emily Kaczmarek and Flourish Omolara Adebayo and Uroosa Imtiaz and Yiheng Li and Richard Zhang and Parvin Mousavi and Neil Renwick and Kathrin Tyryshkin
2023
Molecular characterization of human peripheral nerves using desorption electrospray ionization mass spectrometry imaging
Diane Tomalty and Olivia Giovannetti and Leah Velikonja and Jasica Munday and Martin Kaufmann and Natasha Iaboni and Amoon Jamzad and Rachel Rubino and Gabor Fichtinger and Parvin Mousavi and Christopher JB Nicol and John F Rudan and Michael A Adams
2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise
Fahimeh Fooladgar and Minh Nguyen Nhat To and Parvin Mousavi and Purang Abolmaesumi
2023
A Review of Low-cost Ultrasound Compatible Phantoms
Leah A Groves and Mohamed Keita and Saidou Talla and Ron Kikinis and Gabor Fichtinger and Parvin Mousavi and Mamadou Camara
2023
Cautery tool state detection using deep learning on intraoperative surgery videos
L March and JR Rodgers and R Hisey and A Jamzad and AML Santilli and D McKay and JF Rudan and M Kaufmann and KYM Ren and G Fichtinger and P Mousavi
2023
Cautery trajectory analysis for evaluation of resection margins in breast-conserving surgery
Chris Yeung and Joshua Ehrlich and Amoon Jamzad and Martin Kaufmann and John Rudan and Cecil Jay Engel and Parvin Mousavi and Tamas Ungi and Gabor Fichtinger
2023
Self-supervised learning and uncertainty estimation for surgical margin detection
Ayesha Syeda and Fahimeh Fooladgar and Amoon Jamzad and Dilakshan Srikanthan and Martin Kaufmann and Kevin Ren and Jay Engel and Ross Walker and Shaila Merchant and Doug McKay and Sonal Varma and Gabor Fichtinger and John Rudan and Parvin Mousavi
2023
Navigated surgical resection cavity inspection for breast conserving surgery
Olivia Radcliffe and Laura Connolly and Tamas Ungi and Caitlin Yeo and John F Rudan and Gabor Fichtinger and Parvin Mousavi
2023
ViPRE: an open-source software implementation for end-to-end analysis of mass spectrometry data
H Elmi and A Jamzad and M Sharp and JR Rodgers and M Kaufmann and T Jamaspishvili and R Iseman and D Berman and J Rudan and G Fichtinger and P Mousavi
2023
Determining the time-delay of a mass spectrometry-based tissue sensor
J Ehrlich and C Yeung and M Kaufman and A Jamzad and J Rudan and P Mousavi and G Fichtinger and T Ungi
2023
Tracked tissue sensing for tumor bed inspection
David Morton and Laura Connolly and Leah Groves and Kyle Sunderland and Amoon Jamzad and John F Rudan and Gabor Fichtinger and Tamas Ungi and Parvin Mousavi
2023
Percutaneous nephrostomy needle guidance using real-time 3D anatomical visualization with live ultrasound segmentation
Andrew Kim and Chris Yeung and Robert Szabo and Kyle Sunderland and Rebecca Hisey and David Morton and Ron Kikinis and Babacar Diao and Parvin Mousavi and Tamas Ungi and Gabor Fichtinger
2024
Benchmarking image transformers for prostate cancer detection from ultrasound data
Mohamed Harmanani and Paul FR Wilson and Fahimeh Fooladgar and Amoon Jamzad and Mahdi Gilany and Minh Nguyen Nhat To and Brian Wodlinger and Purang Abolmaesumi and Parvin Mousavi
2024
Development of a Research Testbed for Intraoperative Optical Spectroscopy Tumor Margin Assessment
David Morton, Laura Connolly, Leah Groves, Kyle Sunderland, Tamas Ungi, Amoon Jamzad, Martin Kaufmann, Kevin Ren, John F Rudan, Gabor Fichtinger, Parvin Mousavi
2023
A clinical application of SlicerROS2: Virtual fixture guidance in breast conserving surgery
Laura Connolly Anton Deguet Tamas Ungi Aravind Kumar Aravind Kumar Andras Lasso Kyle SunderlandAxel Krieger Simon Leonard Gabor Fichtinger Parvin Mousavi Russell Taylor
2023
LensePro: Label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotations
Minh Nguyen Nhat To and Fahimeh Fooladgar and Paul Wilson and Mohamed Harmanani and Mahdi Gilany and Samira Sojoudi and Amoon Jamzad and Silvia Chang and Peter Black and Parvin Mousavi and Purang Abolmaesumi
2024
Toward confident prostate cancer detection using ultrasound: a multi-center study
Paul FR Wilson and Mohamed Harmanani and Minh Nguyen Nhat To and Mahdi Gilany and Amoon Jamzad and Fahimeh Fooladgar and Brian Wodlinger and Purang Abolmaesumi and Parvin Mousavi
2024
ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection
Paul FR Wilson and Minh Nguyen Nhat To and Amoon Jamzad and Mahdi Gilany and Mohamed Harmanani and Tarek Elghareb and Fahimeh Fooladgar and Brian Wodlinger and Purang Abolmaesumi and Parvin Mousavi
2024
SlicerROS2: A Research and Development Module for Image-Guided Robotic Interventions
Laura Connolly and Aravind S Kumar and Kapi Ketan Mehta and Lidia Al-Zogbi and Peter Kazanzides and Parvin Mousavi and Gabor Fichtinger and Axel Krieger and Junichi Tokuda and Russell H Taylor and Simon Leonard and Anton Deguet
2024
From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery
Chris Yeung and Tamas Ungi and Zoe Hu and Amoon Jamzad and Martin Kaufmann and Ross Walker and Shaila Merchant and Cecil Jay Engel and Doris Jabs and John Rudan and Parvin Mousavi and Gabor Fichtinger
2024
ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometry
Laura Connolly and Fahimeh Fooladgar and Amoon Jamzad and Martin Kaufmann and Ayesha Syeda and Kevin Ren and Purang Abolmaesumi and John F Rudan and Doug McKay and Gabor Fichtinger and Parvin Mousavi
2024
Assessing the Performance of Foundation Models in Prostate Segmentation Across Different Ultrasound Modalities
Vivian Nguyen and Amoon Jamzad and Paul Wilson and Mahdi Gilany and Purang Abolmaesumi and Michael Leveridge and Robert Siemens and Parvin Mousavi
2024
Extracting 3D Prostate Geometry from 2D Optically-Tracked Transrectal Ultrasound Images
Colton Barr and Leah Groves and Tamas Ungi and D Robert Siemens and Babacar Diao and Ron Kikinis and Parvin Mousavi and Gabor Fichtinger
2024
Towards Improving Surgical Margins in Tumour Resection Using Mass Spectrometry Imaging
Jade Warren and Amoon Jamzad and Tamara Jamaspishvili and Rachael Iseman and Ayesha Syeda and Martin Kaufmann and John Rudan and Gabor Fichtinger and David M Berman and Parvin Mousavi
2024
AIS Electronic Library (AISeL)
Sophia Mannina and Shamel Addas and Purang Abolmaesumi and Parvin Mousavi and Nooshin Maghsoodi
2024
Can point cloud networks learn statistical shape models of anatomies?
P Mousavi and S Salcud-ean and J Duncan and T Syeda and R Taylor
2024
Abstract PO2-23-07: Three-dimensional navigated mass spectrometry for intraoperative margin assessment during breast cancer surgery
Martin Kaufmann and Amoon Jamzad and Tamas Ungi and Jessica R Rodgers and Teaghan Koster and Chris Yeung and Josh Ehrlich and Alice Santilli and Mark Asselin and Natasja Janssen and Julie McMullen and Kathryn Solberg and Joanna Cheesman and Alessia Di Carlo and Kevin Yi Mi Ren and Sonal Varma and Shaila Merchant and Cecil Jay Engel and G Ross Walker and Andrea Gallo and Doris Jabs and Parvin Mousavi and Gabor Fichtinger and John F Rudan
2024
Digital Nudges in Healthcare Contexts: An Information Systems Perspective
Sophia Mannina and Shamel Addas and Purang Abolmaesumi and Parvin Mousavi and Nooshin Maghsoodi and Sarah Nassar and David Maslove
2024
211 Three-Dimensional Navigated Mass Spectrometry for Intraoperative Margin Assessment During Breast Cancer Surgery
Amira Othman and Martin Kaufmann and Teaghan Koster and Amoon Jamzad and Tamas Ungi and Jessica Rodgers and Julie Mcmullen and Chris Yeung and Natasja Janssen and Kathryn Solberg and Joanna Cheesman and John Rudan and Parvin Mousavi and Gabor Fichtinger and Andrea Gallo Hoyos and Doris Jabs and Jay Engel and Shaila Merchant and Ross Walker and Kevin Ren and Sonal Varma
2025
TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasound
Mohamed Harmanani and Paul FR Wilson and Minh Nguyen Nhat To and Mahdi Gilany and Amoon Jamzad and Fahimeh Fooladgar and Brian Wodlinger and Purang Abolmaesumi and Parvin Mousavi
2025
Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement
Faranak Akbarifar and Sean P Dukelow and Albert Jin and Parvin Mousavi and Stephen H Scott
2025
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges
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