People
Principal Investigator
Dafna Sussman
Visit my Teaching page for more information.
Postdoctoral Researchers
Adam Lim (2024-present)
Research Interests
- Medical Image Analysis
- AI in Healthcare
- Deep Learning for Biomedical Imaging
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Sid Sadanand (2026-present)
Research Interests
- Healthcare access equity
- Metabolic MRI
- Non-Cartesian acceleration & reconstruction
- Imaging hardware
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Students
PhD Students
Alejo Costanzo (2025-present)
Thesis: Biometric analysis of multi-center fetal MRI data for clinical efficiency and accuracy & developer of Fetal Assessment Suite (FetAS).
Research Interests
- End-to-End Deep Learning Pipelines
- Medical Image Analysis
- Precision Prenatal Medicine
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Celine Dubroy-McArdle (2024-present)
Thesis: Automatic delineation and characterization of microstructural and metabolic changes in brain metastases using MT imaging to define a potential CTV
Research Interests
- Medical Image Analysis
- Metabolic MRI
- Deep Learning for Medical Imaging
- MRI Cancer Markers
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Mohammad Khoobani (2026-present)
Research Interests
- Dynamic Anthropomorphic Phantoms
- MRI-Compatible Robotics
- Biomedical Instrumentation Development
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Dylan Young (2021-present)
Thesis: Development of automated imaging markers and AI tools for the diagnosis and grading of PAS using ultrasound and MRI; Ultrashort-echo-time SWI sequence for fetoplacental iron imaging
Research Interests
- Medical Image Analysis
- MRI Diagnostic Marker Development
- Fetoplacental Disease & Development
- MR Sequence Development
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Master's Students
Sandra Alexander (2024-present)
Thesis: Placenta mimicking materials
Research Interests
- MRI Phantom Materials
- Medical Image Analysis
- Quantitative MRI Techniques
Links
Olivia Koop (2025-present)
Thesis: Measurement of MRI, dielectric, and mechanical properties of materials to obtain an MRI tissue phantom library
Yasmin Modarai (2024-present)
Thesis: Automatic fetal brain segmentation
Research Interests
- Medical Image Analysis
- Deep Learning for Medical Imaging
- Clinical Translation of AI Models
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Lilly D Williams (2025-present)
Thesis: Interaction Effects Between Placental Position, Fetal Presentation, and Gestational Age on Maternal-Fetal Outcomes
Research Interests
- Medical Image Analysis
- Statistical Differences Between Groups
- Cognition, Cognitive Development, and Cognitive Impairment
Previous Students
Bipin Aasi, BEng (2018)
Research: Automatic MR image processing using machine learning
Ritesh Ahlawat, BSc (2021-2022)
Research: Automatic classification of endometrial biopsy images with deep learning
Sandra Alexander, BEng (2022-2024)
Research: Placenta mimicking materials
Danesh Aslam, BEng (2020-2021)
Research: Placental segmentation and disease classification
Millad Ayoubi, BSc (2021)
Research: 1) Virtual studio platform design, 2) UX/UI Design
Jacqueline Banh, BSc (2024)
Renee Berahzer, BEng (2022)
Research: Biomaterial longevity testing
Oluwatoni Bodunrin, BEng (2021-2022)
Research: Fetal Assessment Software (FeAS)
Jillian Cardinell, BEng (2019-2020)
Research: Optimization of image augmentation schemes
Jin Cheng, BEng (2018-2019)
Research: CEST computer simulation
Juliette Dinshaw, BEng (2025)
Research: Placenta mimicking materials
Alex D'Ippolito, BEng (2022)
Research: 3D printing and extrusion
Alex Dunn, BEng (2020-2021)
Research: Virtual studio platform development
Joshua Eisenstat, BEng (2021-2022)
Research: Automatic fetal-placental image analysis using machine learning
Matthew Lam, BEng (2022-2023)
Research: Endometrial pathology image classification
Mitchell Lee, BEng (2019-2021)
Research: 1) 3D printing and mould-making techniques, 2) 3D mechanical design of anthropomorphic MRI fetal phantom
Adam Lim, BEng (2019-2020)
Research: Automatic quality assurance algorithm of 3D MRI fetal datasets
Justin Lo, BEng (2019-2020)
Research: Automatic segmentation algorithm for fetal MRI
Yasmin Modarai, BEng (2022-2024)
Research: Fetal Assessment Suite (FetAS)
Alif Munim, BSc (2021-2022)
Research: Automatic segmentation of brain tumors
Emily Nguyen, BSc (2025)
Research: Non-invasively Quantifying Menstrual Iron Loss
Michael Pereira, BSc (2022-2023)
Research: Fetal Assessment Suite (FetAS)
Dania Rabba, BEng (2021)
Research: Electrochemical design of phantoms
Rachita Singh, BSc (2021-2022)
Research: Automatic segmentation of brain tumours
Michael Shulman, BEng (2018-2019)
Research: Literature review on anthropomorphic MRI phantoms of the human gravid abdomen
Mathew Szymanowski, BEng (2024-2025)
Tajmina Tafader, BEng (2021)
Research: 1) Excel programming for engineering project management, 2) PROTECT application backend programming
Dylan Young, BEng (2019-2021)
Research: 1) Fetal image segmentation and algorithm development, 2) COVID-19 in pregnancy data repository
Jennifer Yun, BFA (2021-2022)
Research: UX/UI design
Saranja Annalingam, MEng (2023-2024)
Thesis: Effect of additive manufacturing process parameters on the MRI properties of UV-curable silicone
Eunyoung Cho, MASc (2018-2020)
Thesis: Development of an anthropomorphic fetal phantom for MRI sequence optimization
Alejo Costanzo, MASc (2020-2023)
Thesis: Amniotic fluid segmentation and biometric evaluation
MITACS Accelerate Project: Predicting preterm birth in twin pregnancies
Noelle Crasto, MEng (2020-2021)
Thesis: Fetal brain phantom
Conor Cristant, MASc (2021-2023)
Thesis: Injection moulding of biomaterials
Rozhin Dayyani, MEng (2025)
Thesis: Surgical Skill Evaluation
Alex Dunn, MASc (2023-2025)
Thesis: Fetal motion phantom optimization
C茅line Dubroy-McArdle, MSc (2022-2024)
Thesis: The role of MT imaging in automatic segmentation of brain metastases sub-regions
Joshua Eisenstat, MASc (2021-2023)
Thesis: Classification of fetal presentation
Mitchell Lee, MASc (2021-2023)
Thesis: Fetal MRI phantom for sequence development
Adam Lim, PhD (2020-2024)
Thesis: Using deep learning to improve post-acquisition assessment in fetal MRI: quality assurance, motion correction, and segmentation
MITACS Accelerate Project: Standard Fetal Ultrasound Plane Classification
Justin Lo, MASc (2020-2021)
Thesis: Automatic 3D fetal segmentation
Nika Momeni, MASc (2023-2025)
Thesis: Fetal MRI data analysis
Doshina Naila, MEng (2019-2021)
Thesis: Synthetic amniotic fluid
Daniel Nussey, MASc (2020-2022)
Thesis: Smart surveillance of secondary brain tumour
Sid Sadanand, MSc (2019-2021), PhD (2022-2025)
MSc Thesis: GlucoCEST sequence development and fetal applications
PhD Thesis: Clinical pilot of fetal brain microstructural imaging
Daniel Sare, MSc (2019-2021)
Thesis: Development of a placental phantom for MRI sequence optimizations
Daniel Sherman, MASc (2020-2022)
Thesis: Rapid classification of endometrial biopsy images using machine learning
Farhan Wasim, MEng (2022-2024)
Thesis: Endometrial pathology image classification