Four-Source Voxel-Level 3D-CNN With Hierarchical Feature Fusion of rs-fMRI and sMRI Derivatives for ADHD Classification
- DOI
- 10.1109/ojemb.2026.3732708
- Published
- 2026
- Container
- IEEE Open Journal of Engineering in Medicine and Biology
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/ojemb.2026.3732708,
title = {Four-Source Voxel-Level 3D-CNN With Hierarchical Feature Fusion of rs-fMRI and sMRI Derivatives for ADHD Classification},
author = {Vuyyuru Punna Rao and Korra Sathya Babu and Nenavath Srinivas Naik and Thota Gokaramaiah},
year = {2026},
journal = {IEEE Open Journal of Engineering in Medicine and Biology},
doi = {10.1109/ojemb.2026.3732708},
url = {https://doi.org/10.1109/ojemb.2026.3732708}
}RIS
TY - JOUR TI - Four-Source Voxel-Level 3D-CNN With Hierarchical Feature Fusion of rs-fMRI and sMRI Derivatives for ADHD Classification AU - Vuyyuru Punna Rao AU - Korra Sathya Babu AU - Nenavath Srinivas Naik AU - Thota Gokaramaiah PY - 2026 JO - IEEE Open Journal of Engineering in Medicine and Biology DO - 10.1109/ojemb.2026.3732708 UR - https://doi.org/10.1109/ojemb.2026.3732708 ER -
APA
Rao, V. P., Babu, K. S., Naik, N. S., & Gokaramaiah, T. (2026). Four-Source Voxel-Level 3D-CNN With Hierarchical Feature Fusion of rs-fMRI and sMRI Derivatives for ADHD Classification. IEEE Open Journal of Engineering in Medicine and Biology. https://doi.org/10.1109/ojemb.2026.3732708
Source records
- crossref · retrieved 2026-11-11T01:42:32.579Z