Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification
- DOI
- 10.64898/2026.09.15.751847
- Published
- 2026-09-21
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- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.64898/2026.09.15.751847,
title = {Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification},
author = {Im Y and Kang MJ and Gutman BA and Thomopoulos SI and Thompson PM and Ching CR and for the Alzheimers Disease Neuroimaging Initiative.},
year = {2026},
doi = {10.64898/2026.09.15.751847},
url = {https://doi.org/10.64898/2026.09.15.751847}
}RIS
TY - JOUR TI - Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification AU - Im Y AU - Kang MJ AU - Gutman BA AU - Thomopoulos SI AU - Thompson PM AU - Ching CR AU - for the Alzheimers Disease Neuroimaging Initiative. PY - 2026 DO - 10.64898/2026.09.15.751847 UR - https://doi.org/10.64898/2026.09.15.751847 ER -
APA
Y, I., MJ, K., BA, G., SI, T., PM, T., CR, C., & Initiative., F. T. A. D. N. (2026). Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification. https://doi.org/10.64898/2026.09.15.751847
Source records
- europe-pmc · retrieved 2026-09-25T11:46:37.646Z