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 feature extraction of single-cell transcriptomes by generative adversarial network. - Mojtaba Bahrami; Malosree Maitra; Corina Nagy; Gustavo Turecki; Hamid R. Rabiee; Yue Li (Bioinform., 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)

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)