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Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies., , , , , , , , , and 10 other author(s). CoRR, (2023)Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning., , , , , , , , , and 2 other author(s). Frontiers Artif. Intell., (2021)Meticulous Transparency - An Evaluation Process for an Agile AI Regulatory Scheme., , , , and . IEA/AIE, volume 10868 of Lecture Notes in Computer Science, page 869-880. Springer, (2018)Big Data Analytics and AI in Mental Healthcare., , , , , , , , , and 7 other author(s). CoRR, (2019)Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression., , , , , , , , and . Frontiers Artif. Intell., (2019)Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?, , , , , , , and . CoRR, (2023)Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies., , , , , , , , , and . NeuroImage, (2020)Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare., , , , , , and . Frontiers Big Data, (2021)