[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets

A library to compute ECG signal quality indicators

Ability is a browser extension that helps people with varying degrees of ability have more control over their browsing experience.

Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.

Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project

Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"

Epileptic Seizure Recognition System, In this project wavelet transform and Hurst exponent are used as an input of SVM, LSTM , Random Forest Models.

Matlab and SPM based code to extract features of network dynamics from neurophysiological recordings

Automated Detection of Focal Cortical Dysplasia using Deep Learning

z-brains: open software for brain lesion lateralization and localization

Comparison of joint models for competing risks and longitudinal data

Cortico-cortical Evoked Potentials: workflow for brain connectivity and stimulation studies in SEEG patients.

In this repository, we will explore and compare different methods of learning non-linear classifiers such as SVMs and Neural Networks.

A Python package for behavioral state analysis using EEG. BEST includes tools automated sleep classification of long-term iEEG data recorded using implantable neural stimulation and recording devices, removal of DBS artifacts and feature extraction.

Code for "Pérez-García et al. 2021, Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures, MICCAI 2021".

Prediction of epileptic seizure by analysis of EEG scan

Repository for Kubach et al. bioRxiv/2019/804682 (2019)

Epilepsy12 Audit Platform