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

4 June 2019

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

6 / 6 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 53 0 0 26 Apr 2025
Geodesic Optimization for Predictive Shift Adaptation on EEG data Apolline Mellot Antoine Collas Sylvain Chevallier Alexandre Gramfort Denis A. Engemann OOD 36 4 0 04 Jul 2024
Classification of BCI-EEG based on augmented covariance matrix Igor Carrara Théodore Papadopoulo 18 7 0 09 Feb 2023
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar J. Kobler J. Hirayama Qibin Zhao M. Kawanabe 19 54 0 02 Jun 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 19 11 0 30 Jul 2021
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 22 153 0 11 Feb 2020