People
Principal Investigator
Dafna Sussman
Visit my Teaching page for more information.
PhD Students
Sid Sadanand (2019-present)
Thesis: Gestational saturation transfer (ST) sequence development & clinical pilot functional imaging of fetal brain
Adam Lim (2019-present)
Thesis: Automatic quality assurance algorithm of 3D MRI fetal datasets
MITACS Accelerate Project: Standard Fetal Ultrasound Plane Classification
Dylan Young (2021-present)
Thesis: Automatic PAS diagnosis algorithm using ultrasound and MRI
Master's Students
Farhan Wasim (2022-present)
Thesis: Endometrial pathology image classification
Matthew Lam (2023-present)
Thesis: Endometrial pathology image classification
Sandra Alexander (2022-present)
Thesis: Placenta mimicking materials
Nika Momeni (2023-present)
Thesis: Fetal MRI data analysis
Alex Dunn (2023-present)
Thesis: Fetal motion phantom optimization
Céline Dubroy-McArdle (2021-present)
Thesis: The role of MT imaging in automatic segmentation of secondary brain metastases
Saranja Annalingam (2023-present)
Thesis: Effect of additive manufacturing process parameters on the MRI properties of UV-curable silicone
Yasmin Modarai (2024-present)
Thesis: Automatic fetal brain segmentation
Research Assistants
Undergraduate Students
Lema Amiry (2024)
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
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
Sandra Alexander, BEng (2022-2023)
Research: Placenta mimicking materials
Yasmin Modarai, BEng (2022-2024)
Research: FetAS
Michael Pereira, BSc (2022-2023)
Research: FetAS
Michael Pereira (2022-2023)
Research: FetAS
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 (2020-2023)
Thesis: Amniotic fluid segmentation and biometric evaluation
MITACS Accelerate Project: Predicting preterm birth in twin pregnancies
Conor Cristant (2021-2023)
Thesis: Injection moulding of biomaterials
Mitchell Lee (2021-2023)
Thesis: Fetal MRI phantom for sequence development