Théodore Papadopoulo

54 papers A* 4Journal 18Unranked 30

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Classification of BCI-EEG Based on the Augmented Covariance Matrix. IEEE Trans. Biomed. Eng. Igor Carrara, Théodore Papadopoulo
2024	J	`jnl`	Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric. CoRR Igor Carrara, Théodore Papadopoulo
2024	J	`jnl`	Geometric Neural Network based on Phase Space for BCI decoding. CoRR Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo
2023	J	`jnl`	An embedding for EEG signals learned using a triplet loss. CoRR Pierre Guetschel, Théodore Papadopoulo, Michael Tangermann
2023	J	`jnl`	Classification of BCI-EEG based on augmented covariance matrix. CoRR Igor Carrara, Théodore Papadopoulo
2023	J	`jnl`	Pseudo-online framework for BCI evaluation: A MOABB perspective. CoRR Igor Carrara, Théodore Papadopoulo
2022	—	`conf`	Embedding neurophysiological signals. MetroXRAINE Pierre Guetschel, Théodore Papadopoulo, Michael Tangermann
2021	—	`conf`	A Spherical Convolutional Neural Network for White Matter Structure Imaging via dMRI. MICCAI (3) Sara Sedlar, Abib Alimi, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier
2021	—	`conf`	Elasticnetisdr to Reconstruct Both Sparse Brain Activity and Effective Connectivity. ISBI Brahim Belaoucha, Théodore Papadopoulo
2021	—	`conf`	Incorporating Transmission Delays Supported By Diffusion Mri In Meg Source Reconstruction. ISBI Ivana Kojcic, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier
2021	J	`jnl`	Towards linking diffusion MRI based macro- and microstructure measures with cortico-cortical transmission in brain tumor patients. NeuroImage Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, Stéphane Chanalet, Rachid Deriche, Maureen Clerc, Demian Wassermann
2020	J	`jnl`	Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation. IEEE Trans. Medical Imaging Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo
2018	J	`jnl`	Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem. CoRR Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo
2018	J	`jnl`	Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation. CoRR Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo
2018	J	`jnl`	Using diffusion MRI to discriminate areas of cortical grey matter. NeuroImage Tharindu Ganepola, Zoltán Nagy, Aurobrata Ghosh, Théodore Papadopoulo, Daniel C. Alexander, Martin I. Sereno
2017	J	`jnl`	Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals. IEEE Trans. Signal Process. Sebastian Hitziger, Maureen Clerc, Sandrine Saillet, Christian G. Bénar, Théodore Papadopoulo
2017	—	`conf`	Large brain effective network from EEG/MEG data and dMR information. PRNI Brahim Belaoucha, Théodore Papadopoulo
2017	—	`conf`	Spatial regularization based on dMRI to solve EEG/MEG inverse problem. EMBC Brahim Belaoucha, Théodore Papadopoulo
2016	—	`conf`	Cortical surface parcellation via dMRI using mutual nearest neighbor condition. ISBI Brahim Belaoucha, Maureen Clerc, Théodore Papadopoulo
2016	—	`conf`	Multivariate autoregressive model constrained by anatomical connectivity to reconstruct focal sources. EMBC Brahim Belaoucha, Mouloud Kachouane, Théodore Papadopoulo
2015	—	`conf`	MEM-diffusion MRI framework to solve MEEG inverse problem. EUSIPCO Brahim Belaoucha, Jean-Marc Lina, Maureen Clerc, Théodore Papadopoulo
2014	—	`conf`	Complete Set of Invariants of a 4 th Order Tensor: The 12 Tasks of HARDI from Ternary Quartics. MICCAI (3) Théodore Papadopoulo, Aurobrata Ghosh, Rachid Deriche
2013	—	`conf`	Cortex parcellation via diffusion data as prior knowledge for the MEG inverse problem. ISBI Anne-Charlotte Philippe, Maureen Clerc, Théodore Papadopoulo, Rachid Deriche
2013	A*	`conf`	Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals ICLR (Poster) Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort, Sandrine Saillet, Christian G. Bénar, Théodore Papadopoulo
2012	—	`conf`	A nested cortex parcellation combining analysis of MEG forward problem and diffusion MRI tractography. ISBI Anne-Charlotte Philippe, Maureen Clerc, Théodore Papadopoulo, Rachid Deriche
2012	—	`conf`	Biomarkers for HARDI: 2nd & 4th order tensor invariants. ISBI Aurobrata Ghosh, Théodore Papadopoulo, Rachid Deriche
2011	—	`book`	Contributions and perspectives to computer vision, image processing and EEG/MEG data analysis. Théodore Papadopoulo
2011	J	`jnl`	Forward Field Computation with OpenMEEG. Comput. Intell. Neurosci. Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi, Maureen Clerc
2011	—	`conf`	Handling white-matter anisotropy in BEM for the EEG forward problem. ISBI Emmanuel Olivi, Théodore Papadopoulo, Maureen Clerc
2011	J	`jnl`	Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints. NeuroImage Alexandre Gramfort, Théodore Papadopoulo, Sylvain Baillet, Maureen Clerc
2010	J	`jnl`	A Trilinear Immersed Finite Element Method for Solving the Electroencephalography Forward Problem. SIAM J. Sci. Comput. Sylvain Vallaghé, Théodore Papadopoulo
2008	—	`conf`	A quantification framework for post-lesion neo-vascularization in retinal angiography. ISBI Sylvain Takerkart, Romain Fenouil, Jérome Piovano, Alexandre Reynaud, Louis Hoffart, Frédéric Chavane, Théodore Papadopoulo, John Conrath, Guillaume S. Masson
2008	—	`conf`	Local Statistic Based Region Segmentation with Automatic Scale Selection. ECCV (2) Jérome Piovano, Théodore Papadopoulo
2007	—	`conf`	Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis. IPMI Christian G. Bénar, Maureen Clerc, Théodore Papadopoulo
2007	—	`conf`	Combinatorial Optimization for Electrode Labeling of EEG Caps. MICCAI (2) Mickaël Péchaud, Renaud Keriven, Théodore Papadopoulo, Jean-Michel Badier
2007	—	`conf`	Efficient Segmentation of Piecewise Smooth Images. SSVM Jérome Piovano, Mikaël Rousson, Théodore Papadopoulo
2007	A*	`conf`	Implicit Meshing for Finite Element Methods using Levelsets. ICCV Théodore Papadopoulo, Sylvain Vallaghé
2007	J	`jnl`	Symmetrical Dense Optical Flow Estimation with Occlusions Detection. Int. J. Comput. Vis. Luis Álvarez, Rachid Deriche, Théodore Papadopoulo, Javier Sánchez Pérez
2005	J	`jnl`	A common formalism for the Integral formulations of the forward EEG problem. IEEE Trans. Medical Imaging Jan Kybic, Maureen Clerc, Touffic Abboud, Olivier D. Faugeras, Renaud Keriven, Théodore Papadopoulo
2005	—	`conf`	On the Absolute Quadratic Complex and Its Application to Autocalibration. CVPR (1) Jean Ponce, Kenton McHenry, Théodore Papadopoulo, Monique Teillaud, Bill Triggs
2003	—	`conf`	Symmetric BEM Formulation for the M/EEG Forward Problem. IPMI Geoffray Adde, Maureen Clerc, Olivier D. Faugeras, Renaud Keriven, Jan Kybic, Théodore Papadopoulo
2002	—	`conf`	Symmetrical Dense Optical Flow Estimation with Occlusions Detection. ECCV (1) Luis Álvarez, Rachid Deriche, Théodore Papadopoulo, Javier Sánchez Pérez
2002	—	`conf`	The fast multipole method for the direct E/MEG problem. ISBI Maureen Clerc, Olivier D. Faugeras, Renaud Keriven, Jan Kybic, Théodore Papadopoulo
2001	—	`book`	The geometry of multiple images - the laws that govern the formation of multiple images of a scene and some of their applications. Olivier D. Faugeras, Quang-Tuan Luong, Théodore Papadopoulo
2001	A*	`conf`	Using Scene Constraints during the Calibration Procedure. ICCV Didier Bondyfalat, Théodore Papadopoulo, Bernard Mourrain
2000	—	`conf`	Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications. ECCV (1) Théodore Papadopoulo, Manolis I. A. Lourakis
1998	—	`conf`	A New Characterization of the Trifocal Tensor. ECCV (1) Théodore Papadopoulo, Olivier D. Faugeras
1998	A*	`conf`	A Nonlinear Method for Estimating the Projective Geometry of Three Views. ICCV Olivier D. Faugeras, Théodore Papadopoulo
1998	—	`conf`	An Application of Automatic Theorem Proving in Computer Vision. Automated Deduction in Geometry Didier Bondyfalat, Bernard Mourrain, Théodore Papadopoulo
1996	—	`conf`	Computing Structure and Motion of General 3D Curves from Monocular Sequences of Perspective Images. ECCV (2) Théodore Papadopoulo, Olivier D. Faugeras
1994	—	`conf`	Estimation of the second order spatio-temporal derivatives of deforming image curves. ICPR (1) Théodore Papadopoulo, Olivier D. Faugeras
1994	—	`conf`	Motion Field of Curves: Applications. ECCV (1) Théodore Papadopoulo, Olivier D. Faugeras
1993	J	`jnl`	A theory of the motion fields of curves. Int. J. Comput. Vis. Olivier D. Faugeras, Théodore Papadopoulo
1993	—	`conf`	Applications of Motion Field of Curves. Applications of Invariance in Computer Vision Théodore Papadopoulo, Olivier D. Faugeras