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NeuroFusionNet: A Multi-Modal Graph Transformer with Contrastive Alignment and Evidential Uncertainty for Epileptic Seizure Detection Cover

NeuroFusionNet: A Multi-Modal Graph Transformer with Contrastive Alignment and Evidential Uncertainty for Epileptic Seizure Detection

Cybernetics and Information Technologies
Volume 25 (2025): Issue 4 (December 2025)
By: Riyazulla Rahman Jabiulla,  Afroz Pasha,  Pinnepalli Sadhashiviah Prasad,  Mohan Devollu Narasimhamurthy,  Vidya Virupaksha and  Manjula Hebbala Munithimmaiah  
Open Access
|Dec 2025
DOI: https://doi.org/10.2478/cait-2025-0041 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 209 - 228
Submitted on: Sep 25, 2025
Accepted on: Nov 10, 2025
Published on: Dec 11, 2025
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Cross-Modal Graph Transformer (CMGT),
Electro-Encephalo-Gram (EEG),
Epileptic seizure detection,
Functional Magnetic Resonance Imaging (fMRI),
NeuroFusionNet
Related subjects:
Computer sciences,
Information technology

© 2025 Riyazulla Rahman Jabiulla, Afroz Pasha, Pinnepalli Sadhashiviah Prasad, Mohan Devollu Narasimhamurthy, Vidya Virupaksha, Manjula Hebbala Munithimmaiah, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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