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Proximal gradient-based step for brain distributed epileptic source imaging after tensor decomposition preprocessing., , , , , и . MLSP, стр. 1-6. IEEE, (2016)Multi-Classification of epileptic High Frequency Oscillations using a Time-Frequency image-based CNN., , , и . SSD, стр. 663-667. IEEE, (2022)Feasibility of blind source separation methods for the denoising of dense-array EEG., , , , , , и . EMBC, стр. 4773-4776. IEEE, (2015)Tensor decomposition exploiting structural constraints for brain source imaging., , , , , , , , и . CAMSAP, стр. 181-184. IEEE, (2015)Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion., , , , , , и . Int. J. Neural Syst., 32 (7): 2250032:1-2250032:19 (2022)Multi-classification of high-frequency oscillations in intracranial EEG signals based on CNN and data augmentation., , , , , , и . Signal Image Video Process., 18 (2): 1099-1109 (2024)Classification of High Frequency Oscillations in intracranial EEG signals based on coupled time-frequency and image-related features., , , , , , и . Biomed. Signal Process. Control., (2022)Efficient sparsity-based algorithm for parameter estimation of the tri-exponential intra voxel incoherent motion (IVIM) model: Application to diffusion-weighted MR imaging in the liver., , , , , , и . CAMSAP, стр. 1-5. IEEE, (2017)KAMICA, a new deflation ICA algorithm based on Kurtosis alternating maximization., и . ACSCC, стр. 554-557. IEEE, (2021)Semi-nonnegative Independent Component Analysis: The (3, 4)-SENICAexp Method., , , , , и . LVA/ICA, том 6365 из Lecture Notes in Computer Science, стр. 612-619. Springer, (2010)