Improving self-supervised pretraining models for epileptic seizure detection from EEG data

28 June 2022

Papers citing "Improving self-supervised pretraining models for epileptic seizure detection from EEG data"

6 / 6 papers shown

Title
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection Dinuka Sandun Udayantha Kavindu Weerasinghe Nima Wickramasinghe Akila Abeyratne Kithmin Wickremasinghe J. Wanigasinghe Anjula De Silva Chamira U. S. Edussooriya 21 2 0 04 Jun 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey Weining Weng Yang Gu Shuai Guo Yuan Ma Zhaohua Yang Yuchen Liu Yiqiang Chen 35 12 0 09 Jan 2024
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 202 0 28 Jan 2021
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review Khansa Rasheed A. Qayyum Junaid Qadir Shobi Sivathamboo P. Kwan L. Kuhlmann T. O'Brien Adeel Razi 37 220 0 04 Feb 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014