| Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons C Nagy, M Maitra, A Tanti, M Suderman, JF Théroux, MA Davoli, ... Nature neuroscience 23 (6), 771-781, 2020 | 302 | 2020 |
| A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder K Perlman, D Benrimoh, S Israel, C Rollins, E Brown, JF Tunteng, R You, ... Journal of affective disorders 243, 503-515, 2019 | 156 | 2019 |
| Transcriptomic and clonal characterization of T cells in the human central nervous system JL Pappalardo, L Zhang, MK Pecsok, K Perlman, C Zografou, K Raddassi, ... Science immunology 5 (51), eabb8786, 2020 | 75 | 2020 |
| Developmental trajectory of oligodendrocyte progenitor cells in the human brain revealed by single cell RNA sequencing K Perlman, CP Couturier, M Yaqubi, A Tanti, QL Cui, F Pernin, JA Stratton, ... Glia 68 (6), 1291-1303, 2020 | 47 | 2020 |
| Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health D Benrimoh, R Fratila, S Israel, K Perlman, N Mirchi, S Desai, A Rosenfeld, ... The NIPS'17 Competition: Building Intelligent Systems, 251-287, 2018 | 33 | 2018 |
| Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on … D Benrimoh, M Tanguay-Sela, K Perlman, S Israel, J Mehltretter, ... BJPsych open 7 (1), e22, 2021 | 29 | 2021 |
| Child abuse associates with increased recruitment of perineuronal nets in the ventromedial prefrontal cortex: a possible implication of oligodendrocyte progenitor cells A Tanti, C Belliveau, C Nagy, M Maitra, F Denux, K Perlman, F Chen, ... Molecular psychiatry 27 (3), 1552-1561, 2022 | 26 | 2022 |
| Analysis of features selected by a deep learning model for differential treatment selection in depression J Mehltretter, C Rollins, D Benrimoh, R Fratila, K Perlman, S Israel, ... Frontiers in Artificial Intelligence 2, 31, 2020 | 25 | 2020 |
| Differential treatment benefit prediction for treatment selection in depression: a deep learning analysis of STAR* D and CO-MED data J Mehltretter, R Fratila, D Benrimoh, A Kapelner, K Perlman, E Snook, ... BioRxiv, 679779, 2019 | 25 | 2019 |
| Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation center M Tanguay-Sela, D Benrimoh, C Popescu, T Perez, C Rollins, E Snook, ... Psychiatry Research 308, 114336, 2022 | 22 | 2022 |
| Evaluating the clinical feasibility of an artificial intelligence–powered, web-based clinical decision support system for the treatment of depression in adults: longitudinal … C Popescu, G Golden, D Benrimoh, M Tanguay-Sela, D Slowey, ... JMIR formative research 5 (10), e31862, 2021 | 19 | 2021 |
| Age-related injury responses of human oligodendrocytes to metabolic insults: link to BCL-2 and autophagy pathways MGF Fernandes, JXX Luo, QL Cui, K Perlman, F Pernin, M Yaqubi, ... Communications Biology 4 (1), 20, 2021 | 19 | 2021 |
| Cell type specific transcriptomic differences in depression show similar patterns between males and females but implicate distinct cell types and genes M Maitra, H Mitsuhashi, R Rahimian, A Chawla, J Yang, LM Fiori, ... Nature Communications 14 (1), 2912, 2023 | 18 | 2023 |
| Big Data analytics and artificial intelligence in mental healthcare A Rosenfeld, D Benrimoh, C Armstrong, N Mirchi, T Langlois-Therrien, ... Applications of big data in healthcare, 137-171, 2021 | 17 | 2021 |
| A systematic meta-review of patient-level predictors of psychological therapy outcome in major depressive disorder M Tanguay-Sela, C Rollins, T Perez, V Qiang, G Golden, JF Tunteng, ... Journal of affective disorders 317, 307-318, 2022 | 14 | 2022 |
| ML and AI safety, effectiveness and explainability in healthcare D Benrimoh, S Israel, R Fratila, C Armstrong, K Perlman, A Rosenfeld, ... Frontiers in big Data 4, 727856, 2021 | 13 | 2021 |
| Targeting microglia–oligodendrocyte crosstalk in neurodegenerative and psychiatric disorders R Rahimian, K Perlman, C Canonne, N Mechawar Drug Discovery Today 27 (9), 2562-2573, 2022 | 8 | 2022 |
| Meticulous transparency—an evaluation process for an agile AI regulatory scheme D Benrimoh, S Israel, K Perlman, R Fratila, M Krause Recent Trends and Future Technology in Applied Intelligence: 31st …, 2018 | 8 | 2018 |
| Applying artificial intelligence to clinical decision support in mental health: What have we learned? G Golden, C Popescu, S Israel, K Perlman, C Armstrong, R Fratila, ... Health Policy and Technology, 100844, 2024 | 5 | 2024 |
| Quantitative and carbon isotope ratio analysis of fatty acids isolated from human brain hemispheres RJS Lacombe, ME Smith, K Perlman, G Turecki, N Mechawar, RP Bazinet Journal of Neurochemistry 164 (1), 44-56, 2023 | 5 | 2023 |
