Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration.

Chaudhari NN, Vega OM, Imms P, Kawamura JM, Chowdhury NF, Jafar T, Irimia A, Alzheimer’s Disease Neuroimaging Initiative consortium.

Open source

DOI: 10.1007/s11357-026-02112-2
Published: 2026-04-15
Container: Geroscience
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s11357-026-02112-2,
  title = {Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration.},
  author = {Chaudhari NN and  Vega OM and  Imms P and  Kawamura JM and  Chowdhury NF and  Jafar T and  Irimia A and  Alzheimer’s Disease Neuroimaging Initiative consortium.},
  year = {2026},
  journal = {Geroscience},
  doi = {10.1007/s11357-026-02112-2},
  url = {https://doi.org/10.1007/s11357-026-02112-2}
}

RIS

TY  - JOUR
TI  - Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration.
AU  - Chaudhari NN
AU  -  Vega OM
AU  -  Imms P
AU  -  Kawamura JM
AU  -  Chowdhury NF
AU  -  Jafar T
AU  -  Irimia A
AU  -  Alzheimer’s Disease Neuroimaging Initiative consortium.
PY  - 2026
JO  - Geroscience
DO  - 10.1007/s11357-026-02112-2
UR  - https://doi.org/10.1007/s11357-026-02112-2
ER  -

APA

NN, C., OM, V., P, I., JM, K., NF, C., T, J., A, I., & consortium., A. D. N. I. (2026). Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration.. Geroscience. https://doi.org/10.1007/s11357-026-02112-2

Source records

europe-pmc · retrieved 2026-09-25T08:26:16.805Z