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Machine Learning | Neuroimaging | Neurology Magnetoencephalography Decoding Transfer Approach: From Deep Learning Models to Intrinsically Interpretable Models. February 13, 2024
Neurology | Neurosurgery Spatiotemporal signal space separation for regions of interest: Application for extracting neuromagnetic responses evoked by deep brain stimulation. February 10, 2024
Neurology | Radiology An artificial intelligence-based pipeline for automated detection and localisation of epileptic sources from magnetoencephalography. August 24, 2023
Biomedical Engineering | Neurology Magnetoencephalography-based approaches to epilepsy classification. July 28, 2023
Biomedical Engineering | Neurology Magnetoencephalogram-based brain-computer interface for hand-gesture decoding using deep learning. May 14, 2023
Neurology | Neuroscience A Model-Agnostic Feature Attribution Approach to Magnetoencephalography Predictions Based on Shapley Value. April 7, 2023
Epileptology | Neurology A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy. September 26, 2022
Machine Learning | Neurology | Public Health A reusable benchmark of brain-age prediction from M/EEG resting-state signals. July 29, 2022
Medical Imaging | Neurology | Neurophysiology Fully-Automated Spike Detection and Dipole Analysis of Epileptic MEG Using Deep Learning. May 10, 2022
Computer Science | Neurology | Radiology A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders. March 26, 2022