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Brain Informatics, Volume 11
Volume 11, Number 1, December 2024
- Changhong Jing, Hongzhi Kuai, Hiroki Matsumoto, Tomoharu Yamaguchi, Iman Yi Liao, Shuqiang Wang:
Addiction-related brain networks identification via Graph Diffusion Reconstruction Network. 1 - Sara Saponaro, Francesca Lizzi, Giacomo Serra, Francesca Mainas, Piernicola Oliva, Alessia Giuliano, Sara Calderoni, Alessandra Retico:
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders. 2 - Muhammad Atta Othman Ahmed, Yasser AbdelSatar, Eed M. Darwish, Elnomery Allam Zanaty:
Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics. 3 - Ilaria Gigi, Rosa Senatore, Angelo Marcelli:
The onset of motor learning impairments in Parkinson's disease: a computational investigation. 4 - Kaida Ning, Pascale B. Cannon, Jiawei Yu, Srinesh Shenoi, Lu Wang, Joydeep Sarkar:
3D convolutional neural networks uncover modality-specific brain-imaging predictors for Alzheimer's disease sub-scores. 5 - Wei Pei, Yan Li, Peng Wen, Fuwen Yang, Xiaopeng Ji:
An automatic method using MFCC features for sleep stage classification. 6 - Pragati Patel, Sivarenjani Balasubramanian, Ramesh Naidu Annavarapu:
Cross subject emotion identification from multichannel EEG sub-bands using Tsallis entropy feature and KNN classifier. 7 - Shihao Yang, Meng Jiao, Jing Xiang, Neel Fotedar, Hai Sun, Feng Liu:
Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. 8 - Jamie L. Hanson, Dorthea J. Adkins, Eva Bacas, Peiran Zhou:
Examining the reliability of brain age algorithms under varying degrees of participant motion. 9 - Viswan Vimbi, Noushath Shaffi, Mufti Mahmud:
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection. 10
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