Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.

Jiang JC, Brianceau C, Delzant E, Colle R, Bottemanne H, Corruble E, Wray NR, Colliot O, Shah S, Couvy-Duchesne B

Open source

DOI
10.1038/s41398-026-03889-8
Published
2026 Feb 25
Container
Translational psychiatry
Publisher
Not recorded
Open access
yes

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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 = {Jiang JC and Brianceau C and Delzant E and Colle R and Bottemanne H and Corruble E and Wray NR and Colliot O and Shah S and Couvy-Duchesne B},
  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  - Jiang JC
AU  - Brianceau C
AU  - Delzant E
AU  - Colle R
AU  - Bottemanne H
AU  - Corruble E
AU  - Wray NR
AU  - Colliot O
AU  - Shah S
AU  - Couvy-Duchesne B
PY  - 2026
JO  - Translational psychiatry
DO  - 10.1038/s41398-026-03889-8
UR  - https://doi.org/10.1038/s41398-026-03889-8
ER  - 

APA

JC, J., C, B., E, D., R, C., H, B., E, C., NR, W., O, C., S, S., & B, C. (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

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