Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Explainable deep graph attention learning with enhanced residual SwinV2 transformer for interpretable facial paralysis severity assessment
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BibTeX
@article{sripada2026explainable,
title = {{Explainable deep graph attention learning with enhanced residual SwinV2 transformer for interpretable facial paralysis severity assessment}},
author = {Ramesh N. S. V. S. C. Sripada and Koppisetti Giridhar and Bhaskar Marapelli and Ganta Raju and Bibhuti Bhusan Dash and Sribidhya Mohanty and Saroja Kumar Rout},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-59555-y},
url = {https://www.nature.com/articles/s41598-026-59555-y},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Explainable deep graph attention learning with enhanced residual SwinV2 transformer for interpretable facial paralysis severity assessment
AU - Ramesh N. S. V. S. C. Sripada
AU - Koppisetti Giridhar
AU - Bhaskar Marapelli
AU - Ganta Raju
AU - Bibhuti Bhusan Dash
AU - Sribidhya Mohanty
AU - Saroja Kumar Rout
PY - 2026
DA - 2026/10/15
JO - Scientific Reports
DO - 10.1038/s41598-026-59555-y
UR - https://www.nature.com/articles/s41598-026-59555-y
SN - 2045-2322
ER -