A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction
- DOI
- 10.1038/s41598-022-22313-x
- Published
- 2022-10-22
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-022-22313-x,
title = {A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction},
author = {Yunan Wu and Pierre Besson and Emanuel A. Azcona and S. Kathleen Bandt and Todd B. Parrish and Hans C. Breiter and Aggelos K. Katsaggelos},
year = {2022},
journal = {Scientific Reports},
doi = {10.1038/s41598-022-22313-x},
url = {https://doi.org/10.1038/s41598-022-22313-x}
}RIS
TY - JOUR TI - A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction AU - Yunan Wu AU - Pierre Besson AU - Emanuel A. Azcona AU - S. Kathleen Bandt AU - Todd B. Parrish AU - Hans C. Breiter AU - Aggelos K. Katsaggelos PY - 2022 JO - Scientific Reports DO - 10.1038/s41598-022-22313-x UR - https://doi.org/10.1038/s41598-022-22313-x ER -
APA
Wu, Y., Besson, P., Azcona, E. A., Bandt, S. K., Parrish, T. B., Breiter, H. C., & Katsaggelos, A. K. (2022). A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction. Scientific Reports. https://doi.org/10.1038/s41598-022-22313-x
Source records
- crossref · retrieved 2026-11-10T05:19:43.528Z