Benrimoh, D., Fisher, V., Mourgues, C., Sheldon, A. D., Smith, R., & Powers, A. R. (2023). Barriers and solutions to the adoption of translational tools for computational psychiatry. Molecular Psychiatry, 1–8. https://doi.org/10.1038/s41380-023-02114-y

Benrimoh, D. A., & Friston, K. J. (2020). All grown up: Computational theories of psychosis, complexity, and progress. Journal of Abnormal Psychology, 129, 624–628.https://doi.org/10.1037/abn0000543

Benrimoh, D., Parr, T., Adams, R. A., & Friston, K. (2019). Hallucinations both in and out of context: An active inference account. PLOS ONE, 14(8), e0212379.https://doi.org/10.1371/journal.pone.0212379

Benrimoh, D., Parr, T., Vincent, P., Adams, R. A., & Friston, K. (2018). Active Inference and Auditory Hallucinations. Computational Psychiatry (Cambridge, Mass.), 2, 183–204.https://doi.org/10.1162/cpsy_a_00022

Benrimoh, D., Fratila, R., Israel, S., Perlman, K., Mirchi, N., Desai, S., Rosenfeld, A., Knappe, S., Behrmann, J., Rollins, C., You, R. P., & Aifred Health Team, T. (2018). Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health. In S. Escalera & M. Weimer (Eds.), The NIPS ’17 Competition: Building Intelligent Systems (pp. 251–287). Springer International Publishing. https://doi.org/10.1007/978-3-319-94042-7_13

Mehltretter, J., Fratila, R., Benrimoh, D. A. , Kapelner, A., Perlman, K., Snook, E., Israel, S., Armstrong, C., Miresco, M., & Turecki, G. (2020). Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data. Computational Psychiatry, 4(0), Article 0. https://doi.org/10.1162/cpsy_a_00029

Mehltretter, J., Rollins, C., Benrimoh, D., Fratila, R., Perlman, K., Israel, S., Miresco, M., Wakid, M., & Turecki, G. (2020). Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression. Frontiers in Artificial Intelligence, 2.https://www.frontiersin.org/articles/10.3389/frai.2019.00031

Kleinerman, A., Rosenfeld, A., Benrimoh, D., Fratila, R., Armstrong, C., Mehltretter, J., Shneider, E., Yaniv-Rosenfeld, A., Karp, J., Reynolds, C. F., Turecki, G., & Kapelner, A. (2021). Treatment selection using prototyping in latent-space with application to depression treatment. PLOS ONE, 16(11), e0258400. https://doi.org/10.1371/journal.pone.0258400

Benrimoh, D., Tanguay-Sela, M., Perlman, K., Israel, S., Mehltretter, J., Armstrong, C., Fratila, R., Parikh, S. V., Karp, J. F., Heller, K., Vahia, I. V., Blumberger, D. M., Karama, S., Vigod, S. N., Myhr, G., Martins, R., Rollins, C., Popescu, C., Lundrigan, E., … Margolese, H. C. (2021). Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician–patient interaction. BJPsych Open, 7(1), e22.https://doi.org/10.1192/bjo.2020.127

Benrimoh, D., Israel, S., Perlman, K., Fratila, R., & Krause, M. (2018). Meticulous Transparency—An Evaluation Process for an Agile AI Regulatory Scheme. In M. Mouhoub, S. Sadaoui, O. Ait Mohamed, & M. Ali (Eds.), Recent Trends and Future Technology in Applied Intelligence (pp. 869–880). Springer International Publishing. https://doi.org/10.1007/978-3-319-92058-0_83

Popescu, C., Golden, G., Benrimoh, D. , Tanguay-Sela, M., Slowey, D., Lundrigan, E., Williams, J., Desormeau, B., Kardani, D., Perez, T., Rollins, C., Israel, S., Perlman, K., Armstrong, C., Baxter, J., Whitmore, K., Fradette, M.-J., Felcarek-Hope, K., Soufi, G., … Turecki, G. (2021). Evaluating the Clinical Feasibility of an Artificial Intelligence–Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility Study. JMIR Formative Research, 5(10), e31862.https://doi.org/10.2196/31862

Pfotenhauer, S. M., Frahm, N., Winickoff, D., Benrimoh, D., Illes, J., & Marchant, G. (2021). Mobilizing the private sector for responsible innovation in neurotechnology. Nature Biotechnology, 39(6), Article 6. https://doi.org/10.1038/s41587-021-00947-y

Perlman, K., Benrimoh, D., Israel, S., Rollins, C., Brown, E., Tunteng, J.-F., You, R., You, E., Tanguay-Sela, M., Snook, E., Miresco, M., & Berlim, M. T. (2019). A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder. Journal of Affective Disorders, 243, 503–515. https://doi.org/10.1016/j.jad.2018.09.067