default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBrain 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 - Andrés Felipe Soler, Eduardo Giraldo, Marta Molinas:
EEG source imaging of hand movement-related areas: an evaluation of the reconstruction and classification accuracy with optimized channels. 11 - Diah Risqiwati, Adhi Dharma Wibawa, Evi Septiana Pane, Eko Mulyanto Yuniarno, Wardah Rahmatul Islamiyah, Mauridhi Hery Purnomo:
Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation. 12 - Sharan J. Prakash, Kimberly M. Van Auken, David P. Hill, Paul W. Sternberg:
Correction: Semantic representation of neural circuit knowledge in Caenorhabditis elegans. 13 - Navneet Agarwal, Gaël Dias, Sonia Dollfus:
Multi-view graph-based interview representation to improve depression level estimation. 14 - Yoon Kyoung Choi, Linqing Feng, Won-Ki Jeong, Jinhyun Kim:
Connecto-informatics at the mesoscale: current advances in image processing and analysis for mapping the brain connectivity. 15 - Atefe Aghaei, Mohsen Ebrahimi Moghaddam:
Brain age gap estimation using attention-based ResNet method for Alzheimer's disease detection. 16 - Md. Fazlul Karim Khondakar, Md. Hasib Sarowar, Mehdi Hasan Chowdhury, Sumit Majumder, Md. Azad Hossain, M. Ali Akber Dewan, Quazi Delwar Hossain:
A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques. 17 - Keerthi S. Chandran, Kuntal Ghosh:
A deep learning based cognitive model to probe the relation between psychophysics and electrophysiology of flicker stimulus. 18 - Rene Lehmann, Bodo Vogt:
Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach. 19 - J. Farineau, Rémy Lestienne:
Cortical dynamics of perception as trains of coherent gamma oscillations, with the pulvinar as central coordinator. 20 - Rajdeep Bhadra, Pawan Kumar Singh, Mufti Mahmud:
HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals. 21 - Xiaojia Wang, Yanchao Liu, Chunfeng Yang:
Ictal-onset localization through effective connectivity analysis based on RNN-GC with intracranial EEG signals in patients with epilepsy. 22 - Hui Wei, Chenyue Feng, Fushun Li:
Modeling biological memory network by an autonomous and adaptive multi-agent system. 23 - Changshan Li, Youqi Li, Hu Zhao, Liya Ding:
Enhancing brain image quality with 3D U-net for stripe removal in light sheet fluorescence microscopy. 24 - Noushath Shaffi, Viswan Vimbi, Mufti Mahmud:
Ensemble of vision transformer architectures for efficient Alzheimer's Disease classification. 25 - Garrett Greiner, Yu Zhang:
Multi-modal EEG NEO-FFI with Trained Attention Layer (MENTAL) for mental disorder prediction. 26 - Mats Tveter, Thomas Tveitstøl, Christoffer Hatlestad-Hall, Ana S. Pérez T., Erik Taubøll, Anis Yazidi, Hugo Lewi Hammer, Ira R. J. Hebold Haraldsen:
Advancing EEG prediction with deep learning and uncertainty estimation. 27 - Tianning Li, Yi Huang, Peng Wen, Yan Li:
Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features. 28 - Tianhua Chen:
Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at a UK university. 29 - Rui Li, Xuanwen Yang, Jun Lou, Junsong Zhang:
A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects. 30 - Yihang Dong, Changhong Jing, Mufti Mahmud, Michael Kwok-Po Ng, Shuqiang Wang:
Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model. 31 - Hong Zhang, Zhikang Lu, Peicong Gong, Shilong Zhang, Xiaoquan Yang, Xiangning Li, Zhao Feng, Anan Li, Chi Xiao:
High-throughput mesoscopic optical imaging data processing and parsing using differential-guided filtered neural networks. 32 - Maria Luigia Natalia De Bonis, Giuseppe Fasano, Angela Lombardi, Carmelo Ardito, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia:
Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines. 33
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-21 19:38 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
