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2025	Advancing BCI with a transformer-based model for motor imagery classification Scientific Reports Wangdan Liao, Hongyun Liu, Weidong Wang
2025	Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features Biomedical Signal Processing and Control Qingsong Ai, Yuang Liu, Quan Liu, Li Ma, Kun Chen
2025	Signal Processing Strategies Shiu Kumar, Alok Sharma
2025	SMMTM: Motor imagery EEG decoding algorithm using a hybrid multi-branch separable convolutional self-attention temporal convolutional network PLOS One DianGuo Cao, ZhenYuan Yu, Jinqiang Wang, Yuqiang Wu
2025	Mifnet: a MamBa-based interactive frequency convolutional neural network for motor imagery decoding Cognitive Neurodynamics Luoqian Yang, Weina Zhu
2025	BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding Sensors Muhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, Xinming He, Binwen Huang, Zeming Fan
2025	A novel hierarchical attention-guided refinement method with EEG assistance for enhancing target speech in a multi-speaker competing environment Advanced Engineering Informatics Zehui Feng, Yangge Yang, Chenqi Zhang, Junxuan Li, Ting Han
2025	Communications in Computer and Information Science Neenu Francis, G. Vadivu
2025	Temporal convolutional transformer for EEG based motor imagery decoding Scientific Reports Hamdi Altaheri, Fakhri Karray, Amir-Hossein Karimi
2024	Attention-Based Multiscale Spatial-Temporal Convolutional Network for Motor Imagery EEG Decoding IEEE Transactions on Consumer Electronics Yu Zhang, Penghai Li, Longlong Cheng, Mingji Li, Hongji Li
2024	Bidirectional feature pyramid attention-based temporal convolutional network model for motor imagery electroencephalogram classification Frontiers in Neurorobotics Xinghe Xie, Liyan Chen, Shujia Qin, Fusheng Zha, Xinggang Fan
2024	Assessing robustness to adversarial attacks in attention-based networks: Case of EEG-based motor imagery classification SLAS Technology Nour El Houda Sayah Ben Aissa, Ahmed Korichi, Abderrahmane Lakas, Chaker Abdelaziz Kerrache, Carlos T. Calafate
2024	Multi-Scale Convolutional Attention and Riemannian Geometry Network for EEG-Based Motor Imagery Classification IEEE Access Ben Zhou, Lei Wang, Wenchang Xu, Chenyu Jiang
2024	2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) Jingzhou Xu, Jun Qi, Junqing Zhang, Yong Yue, Tingting Zhang, Jianjun Chen
2024	Dual-Branch Convolution Network With Efficient Channel Attention for EEG-Based Motor Imagery Classification IEEE Access Kai Zhou, Aierken Haimudula, Wanying Tang
2024	Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification Computers in Biology and Medicine Ritesh Sur Chowdhury, Shirsha Bose, Sayantani Ghosh, Amit Konar
2023	2023 IEEE International Conference on Mechatronics and Automation (ICMA) Jinke Zhao, Mingliang Liu
2023	2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Huifu Li, Xun Zhang, Yuchai Wan, Xin Zhang
2023	2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) Yiming Ai, Bipin Rajendran
2023	3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023) Hongbing Shi, Jinhui Zhang, Zhongcai Pei
2023	A Cross-Space CNN With Customized Characteristics for Motor Imagery EEG Classification IEEE Transactions on Neural Systems and Rehabilitation Engineering Ying Hu, Yan Liu, Siqi Zhang, Ting Zhang, Bin Dai, Bo Peng, Hongbo Yang, Yakang Dai
2023	An improved model using convolutional sliding window-attention network for motor imagery EEG classification Frontiers in Neuroscience Yuxuan Huang, Jianxu Zheng, Binxing Xu, Xuhang Li, Yu Liu, Zijian Wang, Hua Feng, Shiqi Cao
2023	Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification IEEE Transactions on Industrial Informatics Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman
2023	Deep temporal networks for EEG-based motor imagery recognition Scientific Reports Neha Sharma, Avinash Upadhyay, Manoj Sharma, Amit Singhal
2023	Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review Neural Computing and Applications Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, Syed Umar Amin, Ghadir Ali Altuwaijri, Wadood Abdul, Mohamed A. Bencherif, Mohammed Faisal
2023	Dynamic Convolution With Multilevel Attention for EEG-Based Motor Imagery Decoding IEEE Internet of Things Journal Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman
2022	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Jiyao Liu, Huifu Li
2022	EEGG: An Analytic Brain-Computer Interface Algorithm IEEE Transactions on Neural Systems and Rehabilitation Engineering Gang Liu, Jing Wang
2022	Deep learning for predicting respiratory rate from biosignals Computers in Biology and Medicine Amit Krishan Kumar, M. Ritam, Lina Han, Shuli Guo, Rohitash Chandra
2022	Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills Sensors Mateo Tobón-Henao, Andrés Álvarez-Meza, Germán Castellanos-Domínguez
2021	CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data Journal of Neuroscience Methods Md. Ochiuddin Miah, Rafsanjani Muhammod, Khondaker Abdullah Al Mamun, Dewan Md. Farid, Shiu Kumar, Alok Sharma, Abdollah Dehzangi
2021	Toward the Development of Versatile Brain–Computer Interfaces IEEE Transactions on Artificial Intelligence Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly, Weiping Ding
2021	SPECTRA: a tool for enhanced brain wave signal recognition BMC Bioinformatics Shiu Kumar, Tatsuhiko Tsunoda, Alok Sharma
2021	Discriminating three motor imagery states of the same joint for brain-computer interface PeerJ Shan Guan, Jixian Li, Fuwang Wang, Zhen Yuan, Xiaogang Kang, Bin Lu
2021	DeepFeature: feature selection in nonimage data using convolutional neural network Briefings in Bioinformatics Alok Sharma, Artem Lysenko, Keith A Boroevich, Edwin Vans, Tatsuhiko Tsunoda
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