Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology
- DOI
- 10.1038/s41398-026-03889-8
- Published
- 2026-02-25
- Container
- Translational Psychiatry
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41398-026-03889-8,
title = {Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology},
author = {Jiayue-Clara Jiang and Camille Brianceau and Elise Delzant and Romain Colle and Hugo Bottemanne and Emmanuelle Corruble and Naomi R. Wray and Olivier Colliot and Sonia Shah and Baptiste Couvy-Duchesne},
year = {2026},
journal = {Translational Psychiatry},
doi = {10.1038/s41398-026-03889-8},
url = {https://doi.org/10.1038/s41398-026-03889-8}
}RIS
TY - JOUR TI - Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology AU - Jiayue-Clara Jiang AU - Camille Brianceau AU - Elise Delzant AU - Romain Colle AU - Hugo Bottemanne AU - Emmanuelle Corruble AU - Naomi R. Wray AU - Olivier Colliot AU - Sonia Shah AU - Baptiste Couvy-Duchesne PY - 2026 JO - Translational Psychiatry DO - 10.1038/s41398-026-03889-8 UR - https://doi.org/10.1038/s41398-026-03889-8 ER -
APA
Jiang, J., Brianceau, C., Delzant, E., Colle, R., Bottemanne, H., Corruble, E., Wray, N. R., Colliot, O., Shah, S., & Couvy-Duchesne, B. (2026). Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology. Translational Psychiatry. https://doi.org/10.1038/s41398-026-03889-8
Source records
- crossref · retrieved 2026-11-10T12:47:00.031Z