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Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem.

, , , , and . EMBC, page 3191-3194. IEEE, (2016)

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Proximal gradient-based step for brain distributed epileptic source imaging after tensor decomposition preprocessing., , , , , and . MLSP, page 1-6. IEEE, (2016)Multi-Classification of epileptic High Frequency Oscillations using a Time-Frequency image-based CNN., , , and . SSD, page 663-667. IEEE, (2022)Feasibility of blind source separation methods for the denoising of dense-array EEG., , , , , , and . EMBC, page 4773-4776. IEEE, (2015)Tensor decomposition exploiting structural constraints for brain source imaging., , , , , , , , and . CAMSAP, page 181-184. IEEE, (2015)Classification of High Frequency Oscillations in intracranial EEG signals based on coupled time-frequency and image-related features., , , , , , and . 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., , , , , , and . CAMSAP, page 1-5. IEEE, (2017)Multi-classification of high-frequency oscillations in intracranial EEG signals based on CNN and data augmentation., , , , , , and . Signal Image Video Process., 18 (2): 1099-1109 (2024)Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion., , , , , , and . Int. J. Neural Syst., 32 (7): 2250032:1-2250032:19 (2022)Semi-nonnegative Independent Component Analysis: The (3, 4)-SENICAexp Method., , , , , and . LVA/ICA, volume 6365 of Lecture Notes in Computer Science, page 612-619. Springer, (2010)A Unified Approach for Inverse Problem in EEG and Brain Connectivity with Application to Epilepsy. A Proof of Concept Study., , and . EUSIPCO, page 1713-1717. IEEE, (2023)