Fetal Assessment Suite (FetAS): a web-based platform for automatic fetal MRI analysis using AI
Year: 2025
Type: article
Language: en
Topic: Fetal and Pediatric Neurological Disorders
Authors and affiliations:
raw_author_name: Alejo Costanzo
raw_affiliation_strings: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON, Canada
raw_author_name: Adam Lim
raw_affiliation_strings: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON, Canada
raw_author_name: Michael Pereira
raw_affiliation_strings: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
raw_author_name: Yasmin Modarai
raw_affiliation_strings: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON, Canada
raw_author_name: Justin Lo
raw_affiliation_strings: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON, Canada
raw_author_name: Nika Momeni
raw_affiliation_strings: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON, Canada
raw_author_name: Joshua Eisenstat
raw_affiliation_strings: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON, Canada
raw_author_name: Matthias W. Wagner
raw_affiliation_strings: Division of Neuroradiology, The Hospital for Sick Children, Toronto, ON, Canada
Institute of Diagnostic and Interventional Neuroradiology, University Hospital, Augsburg, Germany
raw_author_name: Logi Vidarsson
raw_affiliation_strings: Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada
raw_author_name: Elka Miller
raw_affiliation_strings: Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada
Department of Diagnostic and Interventional Radiology, The Hospital for Sick Children, Toronto, ON, Canada
Division of Neuroradiology, The Hospital for Sick Children, Toronto, ON, Canada
raw_author_name: Birgit Ertl-Wagner
raw_affiliation_strings: Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada
Department of Diagnostic and Interventional Radiology, The Hospital for Sick Children, Toronto, ON, Canada
Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
Division of Neuroradiology, The Hospital for Sick Children, Toronto, ON, Canada
raw_author_name: Dafna Sussman
raw_affiliation_strings: Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada. dafna.sussman@torontomu.ca
Department of Obstetrics and Gynecology, University of Toronto, Toronto, ON, Canada. dafna.sussman@torontomu.ca
Institute for Biomedical Engineering, Science and Technology (iBEST), Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON, Canada. dafna.sussman@torontomu.ca
Department of Obstetrics and Gynecology, University of Toronto, Toronto, ON, Canada