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ORCIDThéodore Papadopoulo
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2020 – today
- 2024
[j12]Igor Carrara
, Théodore Papadopoulo:
Classification of BCI-EEG Based on the Augmented Covariance Matrix. IEEE Trans. Biomed. Eng. 71(9): 2651-2662 (2024)- [i8]Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo:
Geometric Neural Network based on Phase Space for BCI decoding. CoRR abs/2403.05645 (2024) - [i7]Igor Carrara, Théodore Papadopoulo:
Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric. CoRR abs/2406.16909 (2024) - 2023
- [i6]Igor Carrara, Théodore Papadopoulo:
Classification of BCI-EEG based on augmented covariance matrix. CoRR abs/2302.04508 (2023) - [i5]Pierre Guetschel, Théodore Papadopoulo, Michael Tangermann:
An embedding for EEG signals learned using a triplet loss. CoRR abs/2304.06495 (2023) - [i4]Igor Carrara, Théodore Papadopoulo:
Pseudo-online framework for BCI evaluation: A MOABB perspective. CoRR abs/2308.11656 (2023) - 2022
- [c35]Pierre Guetschel, Théodore Papadopoulo, Michael Tangermann:
Embedding neurophysiological signals. MetroXRAINE 2022: 169-174 - 2021
- [j11]Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, Stéphane Chanalet, Rachid Deriche, Maureen Clerc, Demian Wassermann:
Towards linking diffusion MRI based macro- and microstructure measures with cortico-cortical transmission in brain tumor patients. NeuroImage 226: 117567 (2021) - [c34]Ivana Kojcic, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier:
Incorporating Transmission Delays Supported By Diffusion Mri In Meg Source Reconstruction. ISBI 2021: 64-68 - [c33]Brahim Belaoucha, Théodore Papadopoulo:
Elasticnetisdr to Reconstruct Both Sparse Brain Activity and Effective Connectivity. ISBI 2021: 405-409 - [c32]Sara Sedlar, Abib Alimi, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier:
A Spherical Convolutional Neural Network for White Matter Structure Imaging via dMRI. MICCAI (3) 2021: 529-539 - 2020
- [j10]Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo:
Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation. IEEE Trans. Medical Imaging 39(4): 888-897 (2020)
2010 – 2019
- 2019
- [j9]Paul Görlach, Evelyne Hubert, Théo Papadopoulo:
Rational Invariants of Even Ternary Forms Under the Orthogonal Group. Found. Comput. Math. 19(6): 1315-1361 (2019) - 2018
- [j8]Tharindu Ganepola, Zoltán Nagy, Aurobrata Ghosh, Théodore Papadopoulo, Daniel C. Alexander, Martin I. Sereno:
Using diffusion MRI to discriminate areas of cortical grey matter. NeuroImage 182: 456-468 (2018) - [i3]Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo:
Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation. CoRR abs/1810.04410 (2018) - [i2]Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo:
Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem. CoRR abs/1812.04110 (2018) - 2017
- [j7]Sebastian Hitziger, Maureen Clerc, Sandrine Saillet, Christian G. Bénar, Théodore Papadopoulo:
Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals. IEEE Trans. Signal Process. 65(16): 4324-4338 (2017) - [c31]Brahim Belaoucha, Théodore Papadopoulo:
Spatial regularization based on dMRI to solve EEG/MEG inverse problem. EMBC 2017: 3608-3611 - [c30]Brahim Belaoucha, Théodore Papadopoulo:
Large brain effective network from EEG/MEG data and dMR information. PRNI 2017: 1-4 - [i1]Paul Görlach, Evelyne Hubert, Théo Papadopoulo:
Rational invariants of ternary forms under the orthogonal group. CoRR abs/1707.09979 (2017) - 2016
- [c29]Brahim Belaoucha, Mouloud Kachouane, Théodore Papadopoulo:
Multivariate autoregressive model constrained by anatomical connectivity to reconstruct focal sources. EMBC 2016: 4067-4070 - [c28]Brahim Belaoucha, Maureen Clerc, Théodore Papadopoulo:
Cortical surface parcellation via dMRI using mutual nearest neighbor condition. ISBI 2016: 903-906 - 2015
- [c27]Brahim Belaoucha, Jean-Marc Lina, Maureen Clerc, Théodore Papadopoulo:
MEM-diffusion MRI framework to solve MEEG inverse problem. EUSIPCO 2015: 1875-1879 - 2014
- [c26]Théodore Papadopoulo, Aurobrata Ghosh, Rachid Deriche:
Complete Set of Invariants of a 4 th Order Tensor: The 12 Tasks of HARDI from Ternary Quartics. MICCAI (3) 2014: 233-240 - 2013
- [c25]Anne-Charlotte Philippe, Maureen Clerc, Théodore Papadopoulo, Rachid Deriche:
Cortex parcellation via diffusion data as prior knowledge for the MEG inverse problem. ISBI 2013: 994-997 - [c24]Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort, Sandrine Saillet, Christian G. Bénar, Théodore Papadopoulo:
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals. ICLR (Poster) 2013 - 2012
- [c23]Aurobrata Ghosh, Théodore Papadopoulo, Rachid Deriche:
Biomarkers for HARDI: 2nd & 4th order tensor invariants. ISBI 2012: 26-29 - [c22]Anne-Charlotte Philippe, Maureen Clerc, Théodore Papadopoulo, Rachid Deriche:
A nested cortex parcellation combining analysis of MEG forward problem and diffusion MRI tractography. ISBI 2012: 518-521 - 2011
- [b2]Théodore Papadopoulo:
Contributions and perspectives to computer vision, image processing and EEG/MEG data analysis. University of Nice Sophia Antipolis, France, 2011 - [j6]Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi, Maureen Clerc:
Forward Field Computation with OpenMEEG. Comput. Intell. Neurosci. 2011: 923703:1-923703:13 (2011) - [j5]Alexandre Gramfort, Théodore Papadopoulo, Sylvain Baillet, Maureen Clerc:
Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints. NeuroImage 54(3): 1930-1941 (2011) - [c21]Emmanuel Olivi, Théodore Papadopoulo, Maureen Clerc:
Handling white-matter anisotropy in BEM for the EEG forward problem. ISBI 2011: 799-802 - 2010
- [j4]Sylvain Vallaghé, Théodore Papadopoulo:
A Trilinear Immersed Finite Element Method for Solving the Electroencephalography Forward Problem. SIAM J. Sci. Comput. 32(4): 2379-2394 (2010)
2000 – 2009
- 2008
- [c20]Jérome Piovano, Théodore Papadopoulo:
Local Statistic Based Region Segmentation with Automatic Scale Selection. ECCV (2) 2008: 486-499 - [c19]Sylvain Takerkart, Romain Fenouil, Jérome Piovano, Alexandre Reynaud, Louis Hoffart, Frédéric Chavane, Théodore Papadopoulo, John Conrath, Guillaume S. Masson:
A quantification framework for post-lesion neo-vascularization in retinal angiography. ISBI 2008: 1457-1460 - 2007
- [j3]Luis Álvarez, Rachid Deriche, Théodore Papadopoulo, Javier Sánchez Pérez:
Symmetrical Dense Optical Flow Estimation with Occlusions Detection. Int. J. Comput. Vis. 75(3): 371-385 (2007) - [c18]Théodore Papadopoulo, Sylvain Vallaghé:
Implicit Meshing for Finite Element Methods using Levelsets. ICCV 2007: 1-8 - [c17]Christian G. Bénar, Maureen Clerc, Théodore Papadopoulo:
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis. IPMI 2007: 458-469 - [c16]Mickaël Péchaud, Renaud Keriven, Théodore Papadopoulo, Jean-Michel Badier:
Combinatorial Optimization for Electrode Labeling of EEG Caps. MICCAI (2) 2007: 793-800 - [c15]Jérome Piovano, Mikaël Rousson, Théodore Papadopoulo:
Efficient Segmentation of Piecewise Smooth Images. SSVM 2007: 709-720 - 2005
- [j2]Jan Kybic, Maureen Clerc, Touffic Abboud, Olivier D. Faugeras, Renaud Keriven, Théodore Papadopoulo:
A common formalism for the Integral formulations of the forward EEG problem. IEEE Trans. Medical Imaging 24(1): 12-28 (2005) - [c14]Jean Ponce, Kenton McHenry, Théodore Papadopoulo, Monique Teillaud, Bill Triggs:
On the Absolute Quadratic Complex and Its Application to Autocalibration. CVPR (1) 2005: 780-787 - [c13]Lenny Rudin, Ping Yu, Théo Papadopoulo:
Geometrical methods for accurate forensic videogrammetry: Part I. Measuring with non-point features. Electronic Imaging: Image and Video Communications and Processing 2005 - 2003
- [c12]Geoffray Adde, Maureen Clerc, Olivier D. Faugeras, Renaud Keriven, Jan Kybic, Théodore Papadopoulo:
Symmetric BEM Formulation for the M/EEG Forward Problem. IPMI 2003: 524-535 - 2002
- [c11]Luis Álvarez, Rachid Deriche, Théodore Papadopoulo, Javier Sánchez Pérez:
Symmetrical Dense Optical Flow Estimation with Occlusions Detection. ECCV (1) 2002: 721-735 - [c10]Maureen Clerc, Olivier D. Faugeras, Renaud Keriven, Jan Kybic, Théodore Papadopoulo:
The fast multipole method for the direct E/MEG problem. ISBI 2002: 1023-1026 - 2001
- [b1]Olivier D. Faugeras, Quang-Tuan Luong, Théodore Papadopoulo:
The geometry of multiple images - the laws that govern the formation of multiple images of a scene and some of their applications. MIT Press 2001, ISBN 978-0-262-06220-6, pp. I-XXIV, 1-643 - [c9]Didier Bondyfalat, Théodore Papadopoulo, Bernard Mourrain:
Using Scene Constraints during the Calibration Procedure. ICCV 2001: 124-130 - 2000
- [c8]Théodore Papadopoulo, Manolis I. A. Lourakis:
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications. ECCV (1) 2000: 554-570
1990 – 1999
- 1998
- [c7]Didier Bondyfalat, Bernard Mourrain, Théodore Papadopoulo:
An Application of Automatic Theorem Proving in Computer Vision. Automated Deduction in Geometry 1998: 207-231 - [c6]Théodore Papadopoulo, Olivier D. Faugeras:
A New Characterization of the Trifocal Tensor. ECCV (1) 1998: 109-123 - [c5]Olivier D. Faugeras, Théodore Papadopoulo:
A Nonlinear Method for Estimating the Projective Geometry of Three Views. ICCV 1998: 477-484 - 1996
- [c4]Théodore Papadopoulo, Olivier D. Faugeras:
Computing Structure and Motion of General 3D Curves from Monocular Sequences of Perspective Images. ECCV (2) 1996: 696-708 - 1994
- [c3]Théodore Papadopoulo, Olivier D. Faugeras:
Motion Field of Curves: Applications. ECCV (1) 1994: 71-82 - [c2]Théodore Papadopoulo, Olivier D. Faugeras:
Estimation of the second order spatio-temporal derivatives of deforming image curves. ICPR (1) 1994: 179-184 - 1993
- [j1]Olivier D. Faugeras, Théodore Papadopoulo:
A theory of the motion fields of curves. Int. J. Comput. Vis. 10(2): 125-156 (1993) - [c1]Théodore Papadopoulo, Olivier D. Faugeras:
Applications of Motion Field of Curves. Applications of Invariance in Computer Vision 1993: 277-296
Coauthor Index
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