People
Principal Investigator
Dafna Sussman
Visit my Teaching page for more information.
Staff
Bita Houshmand (2020-2021)
AI Engineer for the PROTECT study
Christie Tan (2020-2021)
PROTECT Study Coordinator
Master's Students
Adam Lim (2019-2021)
Thesis: Automatic quality assurance algorithm of 3D MRI fetal datasets
Alejo Costanzo (2020-2022)
Thesis: Amniotic fluid segmentation and biometric evaluation
Daniel Nussey (2020-2022)
Thesis: Smart surveillance of secondary brain tumour
Daniel Sare (2019-2021)
Thesis: Development of a placental phantom for MRI sequence optimizations
Daniel Sherman (2020-2022)
Thesis: Rapid classification of endometrial biopsy images using machine learning
Doshina Naila (2019-2021)
Thesis: Synthetic amniotic fluid
Eunyoung Cho (2018-2020)
Thesis: Development of an anthropomorphic fetal phantom for MRI sequence optimization
Justin Lo (2020-2022)
Thesis: Automatic 3D fetal segmentation
Noelle Crasto (2020-2021)
Thesis: Fetal brain phantom
Sid Sadanand (2019-2021)
Thesis: GlucoCEST sequence development and fetal applications
Undergraduate Students
Alex Dunn (2020-2021)
Research: Virtual studio platform development
Danesh Aslam (2020-2021)
Research: Placental segmentation and disease classification
Dylan Young (2020-2021)
Research: COVID-19 in pregnancy data repository
Mitchell Lee (2020-2021)
Research: 3D mechanical design of anthropomorphic MRI fetal phantom
Past Students
Bipin Aasi (2018)
Research: Automatic MR image processing using machine learning
Dylan Young (2019-2020)
Research: Fetal image segmentation and algorithm development
Jillian Cardinell (2019-2020)
Research: Optimization of image augmentation schemes
Jin Cheng (2018-2019)
Research: CEST computer simulation
Justin Lo (2019-2020)
Research: Automatic segmentation algorithm for fetal MRI
Michael Shulman (2018-2019)
Research: Literature review on anthropomorphic MRI phantoms of the human gravid abdomen
Mitchell Lee (2019-2020)
Research: 3D printing and mould-making techniques