Meticulous Transparency - An Evaluation Process for an Agile AI Regulatory Scheme. - David Benrimoh; Sonia Israel; Kelly Perlman; Robert Fratila; Matthew R. Krause (IEA/AIE, 2018)

Big Data Analytics and AI in Mental Healthcare. - Ariel Rosenfeld; David Benrimoh; Caitrin Armstrong; Nykan Mirchi; Timothe Langlois-Therrien; Colleen Rollins; Myriam Tanguay-Sela; Joseph Mehltretter; Robert Fratila; Sonia Israel; Emily Snook; Kelly Perlman; et al. (CoRR, 2019)

Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression. - Joseph Mehltretter; Colleen Rollins; David Benrimoh; Robert Fratila; Kelly Perlman; Sonia Israel; Marc Miresco; Marina Wakid; Gustavo Turecki (Frontiers Artif. Intell., 2019)

Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies. - Robert A. Brown; Dumitru Fetco; Robert Fratila; Giulia Fadda; Shangge Jiang; Nuha M. Alkhawajah; E. Ann Yeh; Brenda Banwell; Amit Bar-Or; Douglas L. Arnold (NeuroImage, 2020)

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare. - David Benrimoh; Sonia Israel; Robert Fratila; Caitrin Armstrong; Kelly Perlman; Ariel Rosenfeld; Adam Kapelner (Frontiers Big Data, 2021)

Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning. - Sneha Desai; Myriam Tanguay-Sela; David Benrimoh; Robert Fratila; Donald E. Brown; Kelly Perlman; Ann John; Marcos del Pozo-Baños; Nancy Low; Sonia Israel; Lisa Palladini; Gustavo Turecki (Frontiers Artif. Intell., 2021)

Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned? - Grace Golden; Christina Popescu; Sonia Israel; Kelly Perlman; Caitrin Armstrong; Robert Fratila; Myriam Tanguay-Sela; David Benrimoh (CoRR, 2023)

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. - David Benrimoh; Akiva Kleinerman; Toshi A. Furukawa; Charles F. Reynolds III; Eric Lenze; Jordan F. Karp; Benoit H. Mulsant; Caitrin Armstrong; Joseph Mehltretter; Robert Fratila; Kelly Perlman; Sonia Israel; et al. (CoRR, 2023)

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study. - David Benrimoh; Caitrin Armstrong; Joseph Mehltretter; Robert Fratila; Kelly Perlman; Sonia Israel; Adam Kapelner; Sagar V. Parikh; Jordan F. Karp; Katherine A. Heller; Gustavo Turecki (CoRR, 2024)