Machine-Learning-Based Diagnostics of EEG Pathology

11 February 2020

Papers citing "Machine-Learning-Based Diagnostics of EEG Pathology"

29 / 29 papers shown

Title
Spectrally-Corrected and Regularized QDA Classifier for Spiked Covariance Model Wenya Luo Hua Li Zhidong Bai Zhijun Liu 58 0 0 17 Mar 2025
BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG Deeksha M Shama Archana Venkataraman NoLa 23 0 0 17 Oct 2024
EEG-Language Modeling for Pathology Detection Sam Gijsen Kerstin Ritter 41 0 0 02 Sep 2024
Geodesic Optimization for Predictive Shift Adaptation on EEG data Apolline Mellot Antoine Collas Sylvain Chevallier Alexandre Gramfort D. Engemann OOD 21 3 0 04 Jul 2024
Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs Erik Ostrowski Muhammad Shafique SSeg 27 0 0 08 Mar 2024
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets Apolline Mellot Antoine Collas Sylvain Chevallier D. Engemann Alexandre Gramfort OOD 18 2 0 07 Mar 2024
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation Niklas Kueper Su Kyoung Kim E. Kirchner 26 0 0 26 Feb 2024
Window Stacking Meta-Models for Clinical EEG Classification Yixuan Zhu Rohan Kandasamy Luke J. W. Canham David Western 17 0 0 14 Jan 2024
Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning Lukas A. W. Gemein R. Schirrmeister Joschka Boedecker Tonio Ball 10 4 0 22 Sep 2023
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning Mohammad Javad Darvishi Bayazi M. S. Ghaemi Timothée Lesort Md Rifat Arefin Jocelyn Faubert Irina Rish 22 11 0 19 Sep 2023
Evaluating the structure of cognitive tasks with transfer learning Bruno Aristimunha Raphael Y. de Camargo W. H. L. Pinaya Sylvain Chevallier Alexandre Gramfort Cédric Rommel 27 4 0 28 Jul 2023
Scope and Arbitration in Machine Learning Clinical EEG Classification Yixuan Zhu Luke J. W. Canham David Western 11 2 0 11 Mar 2023
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG H. Albaqami Ghulam Mubashar Hassan A. Datta 25 23 0 09 Nov 2022
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces Xinbin Liang Yaru Liu Yang Yu Kaixuan Liu Yadong Liu Zongtan Zhou 13 0 0 23 Aug 2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography Yaojia Zheng Zhouwu Liu Rong Mo Ziyi Chen Weiqiao Zheng Ruixuan Wang 35 10 0 04 Jul 2022
Data augmentation for learning predictive models on EEG: a systematic comparison Cédric Rommel Joseph Paillard Thomas Moreau Alexandre Gramfort 51 54 0 29 Jun 2022
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar J. Kobler J. Hirayama Qibin Zhao M. Kawanabe 11 53 0 02 Jun 2022
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification Abbas Salami Javier Andreu-Perez H. Gillmeister 14 58 0 14 Apr 2022
An EEG-based approach for Parkinson's disease diagnosis using Capsule network Shujie Wang Gongshu Wang Guangying Pei 13 6 0 27 Dec 2021
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection Andong Li Zhaohong Deng Qiongdan Lou K. Choi Hongbin Shen Shitong Wang 20 1 0 11 Nov 2021
On the interpretation of linear Riemannian tangent space model parameters in M/EEG Reinmar J. Kobler J. Hirayama Lea Hehenberger G. Müller-Putz M. Kawanabe 9 11 0 30 Jul 2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals Cédric Rommel Thomas Moreau Joseph Paillard Alexandre Gramfort 17 36 0 25 Jun 2021
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification M. Massi F. Ieva 13 2 0 20 Jun 2021
Robust learning from corrupted EEG with dynamic spatial filtering Hubert J. Banville Sean U. N. Wood Chris Aimone D. Engemann Alexandre Gramfort 20 30 0 27 May 2021
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
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree H. Albaqami Ghulam Mubashar Hassan A. Subasi A. Datta 16 68 0 18 Dec 2020
Uncovering the structure of clinical EEG signals with self-supervised learning Hubert J. Banville O. Chehab Aapo Hyvarinen D. Engemann Alexandre Gramfort 36 195 0 31 Jul 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 105 1,342 0 06 Jul 2016