Manifold-regression to predict from MEG/EEG brain signals without source
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Manifold-regression to predict from MEG/EEG brain signals without source modeling

4 June 2019

Gaël Varoquaux

Alexandre Gramfort

Denis A. Engemann

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Papers citing "Manifold-regression to predict from MEG/EEG brain signals without source modeling"

19 / 19 papers shown

Title
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 104 0 0 26 Apr 2025
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning Rikuto Kotoge Zheng Chen Tasuku Kimura Yasuko Matsubara Takufumi Yanagisawa H. Kishima Yasushi Sakurai OOD SSL 96 1 0 15 Oct 2024
Riemannian Geometry-Based EEG Approaches: A Literature Review Imad Eddine Tibermacine Samuele Russo Ahmed Tibermacine A. Rabehi B. Nail Kamel Kadri Christian Napoli 159 5 0 19 Jul 2024
Geodesic Optimization for Predictive Shift Adaptation on EEG data Apolline Mellot Antoine Collas Sylvain Chevallier Alexandre Gramfort Denis A. Engemann OOD 84 5 0 04 Jul 2024
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations Zhenxi Song Ruihan Qin Huixia Ren Zhen Liang Yi Guo Meishan Zhang Zhiguo Zhang 63 2 0 29 Apr 2024
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications Antoine Collas Rémi Flamary Alexandre Gramfort 51 2 0 24 Jan 2024
DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation Yiqun Duan Jinzhao Zhou Zhen Wang Yu-Kai Wang Ching-Teng Lin 119 34 0 25 Sep 2023
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 34 5 0 22 Sep 2023
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals Clément Bonet Benoit Malézieux A. Rakotomamonjy Lucas Drumetz Thomas Moreau M. Kowalski Nicolas Courty 96 16 0 10 Mar 2023
Classification of BCI-EEG based on augmented covariance matrix Igor Carrara Théodore Papadopoulo 28 7 0 09 Feb 2023
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis Ce Ju Cuntai Guan 107 22 0 25 Oct 2022
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar J. Kobler J. Hirayama Qibin Zhao M. Kawanabe 83 58 0 02 Jun 2022
Multi-Tier Platform for Cognizing Massive Electroencephalogram Zheng Chen Lingwei Zhu Ziwei Yang Renyuan Zhang 91 13 0 21 Apr 2022
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification Ce Ju Cuntai Guan 61 58 0 05 Feb 2022
Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest ID MooK.Chung Shih-Gu Huang Ian C. Carroll Vince D. Calhoun ID HHillGoldsmith 66 1 0 01 Jan 2022
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 57 11 0 30 Jul 2021
Robust learning from corrupted EEG with dynamic spatial filtering Hubert J. Banville Sean U. N. Wood Chris Aimone Denis A. Engemann Alexandre Gramfort 56 32 0 27 May 2021
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space Guangyi Zhang Ali Etemad 67 18 0 19 Aug 2020
Machine-Learning-Based Diagnostics of EEG Pathology Lukas A. W. Gemein R. Schirrmeister P. Chrabaszcz Daniel Wilson Joschka Boedecker A. Schulze-Bonhage Frank Hutter T. Ball 81 159 0 11 Feb 2020