People
Principal Investigator
Dafna Sussman
Visit my Teaching page for more information.
Postdoctoral Researchers
Adam Lim (2024-present)
PhD Students
Sid Sadanand (2022-present)
Thesis: Gestational saturation transfer (ST) sequence development & clinical pilot functional imaging of fetal brain
Dylan Young (2021-present)
Thesis: Automatic PAS diagnosis algorithm using ultrasound and MRI & development of an ultrashort-echo-time SWI sequence for fetoplacental iron imaging
Alejo Costanzo (2024-present)
Thesis: Biometric analysis of multi-center fetal MRI data for clinical efficiency and accuracy & developer of Fetal Assessment Suite (FetAS).
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
Master's Students
Matthew Lam (2023-present)
Thesis: Endometrial pathology image classification
Sandra Alexander (2024-present)
Thesis: Placenta mimicking materials
Yasmin Modarai (2024-present)
Thesis: Automatic fetal brain segmentation
Rozhin Dayyani (2025)
Thesis: Surgical Skill Evaluation
Research Assistants
Undergraduate Students
Jacqueline Banh, BSc (2024-present)
Emily Nguyen, BSc (2025)
Research: Non-invasively Quantifying Menstrual Iron Loss
Juliette Dinshaw, BEng (2025)
Research: Placenta mimicking materials
Previous Undergraduate Students
Alex Dunn, BEng (2020-2021)
Research: Virtual studio platform development
Alif Munim, BSc (2021-2022)
Research: Automatic segmentation of brain tumors
Bipin Aasi, BEng (2018)
Research: Automatic MR image processing using machine learning
Danesh Aslam, BEng (2020-2021)
Research: Placental segmentation and disease classification
Dania Rabba, BEng (2021)
Research: Electrochemical design of phantoms
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
Jillian Cardinell, BEng (2019-2020)
Research: Optimization of image augmentation schemes
Jin Cheng, BEng (2018-2019)
Research: CEST computer simulation
Joshua Eisenstat, BEng (2021-2022)
Research: Automatic fetal-placental image analysis using machine learning
Justin Lo, BEng (2019-2020)
Research: Automatic segmentation algorithm for fetal MRI
Adam Lim, BEng (2019-2020)
Research: Automatic quality assurance algorithm of 3D MRI fetal datasets
Michael Shulman, BEng (2018-2019)
Research: Literature review on anthropomorphic MRI phantoms of the human gravid abdomen
Millad Ayoubi, BSc (2021)
Research: 1) Virtual studio platform design, 2) UX/UI Design
Mitchell Lee, BEng (2019-2021)
Research: 1) 3D printing and mould-making techniques, 2) 3D mechanical design of anthropomorphic MRI fetal phantom
Oluwatoni Bodunrin, BEng (2021-2022)
Research: Fetal Assessment Software (FeAS)
Rachita Singh, BSc (2021-2022)
Research: Automatic segmentation of brain tumours
Ritesh Ahlawat, BSc (2021-2022)
Research: Automatic classification of endometrial biopsy images with deep learning
Tajmina Tafader, BEng (2021)
Research: 1) Excel programming for engineering project management, 2) PROTECT application backend programming
Alex D'Ippolito, BEng (2022)
Research: 3D printing and extrusion
Renee Berahzer, BEng (2022)
Research: Biomaterial longevity testing
Matthew Lam, BEng (2022-2023)
Research: Endometrial pathology image classification
Michael Pereira, BSc (2022-2023)
Research: Fetal Assessment Suite (FetAS)
Yasmin Modarai, BEng (2022-2024)
Research: Fetal Assessment Suite (FetAS)
Sandra Alexander, BEng (2022-2024)
Research: Placenta mimicking materials
Mathew Szymanowski, BEng (2024-2025)
Previous Graduate Students
Daniel Sare, MSc (2019-2021)
Thesis: Development of a placental phantom for MRI sequence optimizations
Daniel Nussey, MASc (2020-2022)
Thesis: Smart surveillance of secondary brain tumour
Doshina Naila, MEng (2019-2021)
Thesis: Synthetic amniotic fluid
Eunyoung Cho, MASc (2018-2020)
Thesis: Development of an anthropomorphic fetal phantom for MRI sequence optimization
Noelle Crasto, MEng (2020-2021)
Thesis: Fetal brain phantom
Sid Sadanand, MSc (2019-2021)
Thesis: GlucoCEST sequence development and fetal applications
Justin Lo, MASc (2020-2021)
Thesis: Automatic 3D fetal segmentation
Daniel Sherman, MASc (2020-2022)
Thesis: Rapid classification of endometrial biopsy images using machine learning
Joshua Eisenstat, MASc (2021-2023)
Thesis: Classification of fetal presentation
Alejo Costanzo, MASc (2020-2023)
Thesis: Amniotic fluid segmentation and biometric evaluation
MITACS Accelerate Project: Predicting preterm birth in twin pregnancies
Conor Cristant, MASc (2021-2023)
Thesis: Injection moulding of biomaterials
Mitchell Lee, MASc (2021-2023)
Thesis: Fetal MRI phantom for sequence development
Céline Dubroy-McArdle, MSc (2022-2024)
Thesis: The role of MT imaging in automatic segmentation of brain metastases sub-regions
Saranja Annalingam, MEng (2023-2024)
Thesis: Effect of additive manufacturing process parameters on the MRI properties of UV-curable silicone
Farhan Wasim, MEng (2022-2024)
Thesis: Endometrial pathology image classification
Nika Momeni, MASc (2023-2025)
Thesis: Fetal MRI data analysis
Alex Dunn, MASc (2023-2025)
Thesis: Fetal motion phantom optimization
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
