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A Deep Convolutional-Recurrent Neural Network Architecture for Parkinson's Disease EEG Classification., , and . GlobalSIP, page 1-4. IEEE, (2019)Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)., , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 490-497. Springer, (2009)Connectivity-based parcellation of functional sub-regions from brain fMRI signals., , , and . GlobalSIP, page 933-937. IEEE, (2017)A Time-Varying Eigenspectrum/SVM Method for Semg Classification of Reaching Movements in Healthy and Stroke Subjects., , and . ICASSP (2), page 1188-1191. IEEE, (2006)An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis., , and . IEEE Trans. Med. Imaging, 24 (1): 29-44 (2005)Connectivity-Based Brain Parcellation for Parkinson's Disease., , , , , , and . IEEE Trans. Biomed. Eng., 70 (5): 1539-1552 (May 2023)Occlusion-Robust FAU Recognition by Mining Latent Space of Masked Autoencoders., , , and . CoRR, (2022)A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data., , , , , , , , , and 1 other author(s). Sensors, 21 (10): 3316 (2021)Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey., , , , , and . CoRR, (2021)Automatic labeling of Parkinson's Disease gait videos with weak supervision., , , , , , , and . Medical Image Anal., (October 2023)