Applications of Motion Field of Curves. - Théodore Papadopoulo; Olivier D. Faugeras (Applications of Invariance in Computer Vision, 1993)

A theory of the motion fields of curves. - Olivier D. Faugeras; Théodore Papadopoulo (Int. J. Comput. Vis., 1993)

Motion Field of Curves: Applications. - Théodore Papadopoulo; Olivier D. Faugeras (ECCV (1), 1994)

Estimation of the second order spatio-temporal derivatives of deforming image curves. - Théodore Papadopoulo; Olivier D. Faugeras (ICPR (1), 1994)

Computing Structure and Motion of General 3D Curves from Monocular Sequences of Perspective Images. - Théodore Papadopoulo; Olivier D. Faugeras (ECCV (2), 1996)

An Application of Automatic Theorem Proving in Computer Vision. - Didier Bondyfalat; Bernard Mourrain; Théodore Papadopoulo (Automated Deduction in Geometry, 1998)

A New Characterization of the Trifocal Tensor. - Théodore Papadopoulo; Olivier D. Faugeras (ECCV (1), 1998)

A Nonlinear Method for Estimating the Projective Geometry of Three Views. - Olivier D. Faugeras; Théodore Papadopoulo (ICCV, 1998)

Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications. - Théodore Papadopoulo; Manolis I. A. Lourakis (ECCV (1), 2000)

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 (MIT Press, 2001)

Using Scene Constraints during the Calibration Procedure. - Didier Bondyfalat; Théodore Papadopoulo; Bernard Mourrain (ICCV, 2001)

The fast multipole method for the direct E/MEG problem. - Maureen Clerc; Olivier D. Faugeras; Renaud Keriven; Jan Kybic; Théodore Papadopoulo (ISBI, 2002)

Symmetric BEM Formulation for the M/EEG Forward Problem. - Geoffray Adde; Maureen Clerc; Olivier D. Faugeras; Renaud Keriven; Jan Kybic; Théodore Papadopoulo (IPMI, 2003)

On the Absolute Quadratic Complex and Its Application to Autocalibration. - Jean Ponce; Kenton McHenry; Théodore Papadopoulo; Monique Teillaud; Bill Triggs (CVPR (1), 2005)

Geometrical methods for accurate forensic videogrammetry: Part I. Measuring with non-point features. - Lenny Rudin; Ping Yu 008; Théo Papadopoulo (Electronic Imaging: Image and Video Communications and Processing, 2005)

A common formalism for the Integral formulations of the forward EEG problem. - Jan Kybic; Maureen Clerc; Touffic Abboud; Olivier D. Faugeras; Renaud Keriven; Théodore Papadopoulo (IEEE Trans. Medical Imaging, 2005)

Implicit Meshing for Finite Element Methods using Levelsets. - Théodore Papadopoulo; Sylvain Vallaghé (ICCV, 2007)

Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis. - Christian G. Bénar; Maureen Clerc; Théodore Papadopoulo (IPMI, 2007)

Combinatorial Optimization for Electrode Labeling of EEG Caps. - Mickaël Péchaud; Renaud Keriven; Théodore Papadopoulo; Jean-Michel Badier (MICCAI (2), 2007)

Efficient Segmentation of Piecewise Smooth Images. - Jérome Piovano; Mikaël Rousson; Théodore Papadopoulo (SSVM, 2007)

Symmetrical Dense Optical Flow Estimation with Occlusions Detection. - Luis Álvarez 001; Rachid Deriche; Théodore Papadopoulo; Javier Sánchez Pérez (Int. J. Comput. Vis., 2007)

Local Statistic Based Region Segmentation with Automatic Scale Selection. - Jérome Piovano; Théodore Papadopoulo (ECCV (2), 2008)

A quantification framework for post-lesion neo-vascularization in retinal angiography. - Sylvain Takerkart; Romain Fenouil; Jérome Piovano; Alexandre Reynaud; Louis Hoffart; Frédéric Chavane; Théodore Papadopoulo; John Conrath; Guillaume S. Masson (ISBI, 2008)

A Trilinear Immersed Finite Element Method for Solving the Electroencephalography Forward Problem. - Sylvain Vallaghé; Théodore Papadopoulo (SIAM J. Sci. Comput., 2010)

Contributions and perspectives to computer vision, image processing and EEG/MEG data analysis. - Théodore Papadopoulo (2011)

Handling white-matter anisotropy in BEM for the EEG forward problem. - Emmanuel Olivi; Théodore Papadopoulo; Maureen Clerc (ISBI, 2011)

Forward Field Computation with OpenMEEG. - Alexandre Gramfort; Théodore Papadopoulo; Emmanuel Olivi; Maureen Clerc (Comput. Intell. Neurosci., 2011)

Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints. - Alexandre Gramfort; Théodore Papadopoulo; Sylvain Baillet; Maureen Clerc (NeuroImage, 2011)

Biomarkers for HARDI: 2nd & 4th order tensor invariants. - Aurobrata Ghosh; Théodore Papadopoulo; Rachid Deriche (ISBI, 2012)

A nested cortex parcellation combining analysis of MEG forward problem and diffusion MRI tractography. - Anne-Charlotte Philippe; Maureen Clerc; Théodore Papadopoulo; Rachid Deriche (ISBI, 2012)

Cortex parcellation via diffusion data as prior knowledge for the MEG inverse problem. - Anne-Charlotte Philippe; Maureen Clerc; Théodore Papadopoulo; Rachid Deriche (ISBI, 2013)

Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals - Sebastian Hitziger; Maureen Clerc; Alexandre Gramfort; Sandrine Saillet; Christian G. Bénar; Théodore Papadopoulo (ICLR (Poster), 2013)

Complete Set of Invariants of a 4 th Order Tensor: The 12 Tasks of HARDI from Ternary Quartics. - Théodore Papadopoulo; Aurobrata Ghosh; Rachid Deriche (MICCAI (3), 2014)

MEM-diffusion MRI framework to solve MEEG inverse problem. - Brahim Belaoucha; Jean-Marc Lina; Maureen Clerc; Théodore Papadopoulo (EUSIPCO, 2015)

Multivariate autoregressive model constrained by anatomical connectivity to reconstruct focal sources. - Brahim Belaoucha; Mouloud Kachouane; Théodore Papadopoulo (EMBC, 2016)

Cortical surface parcellation via dMRI using mutual nearest neighbor condition. - Brahim Belaoucha; Maureen Clerc; Théodore Papadopoulo (ISBI, 2016)

Spatial regularization based on dMRI to solve EEG/MEG inverse problem. - Brahim Belaoucha; Théodore Papadopoulo (EMBC, 2017)

Large brain effective network from EEG/MEG data and dMR information. - Brahim Belaoucha; Théodore Papadopoulo (PRNI, 2017)

Rational invariants of ternary forms under the orthogonal group. - Paul Görlach; Evelyne Hubert; Théo Papadopoulo (CoRR, 2017)

Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals. - Sebastian Hitziger; Maureen Clerc; Sandrine Saillet; Christian G. Bénar; Théodore Papadopoulo (IEEE Trans. Signal Process., 2017)

Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem. - Kostiantyn Maksymenko; Maureen Clerc; Théodore Papadopoulo (CoRR, 2018)

Using diffusion MRI to discriminate areas of cortical grey matter. - Tharindu Ganepola; Zoltán Nagy 003; Aurobrata Ghosh; Théodore Papadopoulo; Daniel C. Alexander; Martin I. Sereno (NeuroImage, 2018)

Rational Invariants of Even Ternary Forms Under the Orthogonal Group. - Paul Görlach; Evelyne Hubert; Théo Papadopoulo (Found. Comput. Math., 2019)

Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation. - Kostiantyn Maksymenko; Maureen Clerc; Théodore Papadopoulo (IEEE Trans. Medical Imaging, 2020)

Elasticnetisdr to Reconstruct Both Sparse Brain Activity and Effective Connectivity. - Brahim Belaoucha; Théodore Papadopoulo (ISBI, 2021)

Incorporating Transmission Delays Supported By Diffusion Mri In Meg Source Reconstruction. - Ivana Kojcic; Théodore Papadopoulo; Rachid Deriche; Samuel Deslauriers-Gauthier (ISBI, 2021)

A Spherical Convolutional Neural Network for White Matter Structure Imaging via dMRI. - Sara Sedlar; Abib Alimi; Théodore Papadopoulo; Rachid Deriche; Samuel Deslauriers-Gauthier (MICCAI (3), 2021)

Towards linking diffusion MRI based macro- and microstructure measures with cortico-cortical transmission in brain tumor patients. - Patryk Filipiak; Fabien Almairac; Théodore Papadopoulo; Denys Fontaine; Lydiane Mondot; Stéphane Chanalet; Rachid Deriche; Maureen Clerc; Demian Wassermann (NeuroImage, 2021)

Embedding neurophysiological signals. - Pierre Guetschel; Théodore Papadopoulo; Michael Tangermann (MetroXRAINE, 2022)

An embedding for EEG signals learned using a triplet loss. - Pierre Guetschel; Théodore Papadopoulo; Michael Tangermann (CoRR, 2023)

Pseudo-online framework for BCI evaluation: A MOABB perspective. - Igor Carrara; Théodore Papadopoulo (CoRR, 2023)

Geometric Neural Network based on Phase Space for BCI decoding. - Igor Carrara; Bruno Aristimunha; Marie-Constance Corsi; Raphael Y. de Camargo; Sylvain Chevallier; Théodore Papadopoulo (CoRR, 2024)

Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric. - Igor Carrara; Théodore Papadopoulo (CoRR, 2024)

Classification of BCI-EEG Based on the Augmented Covariance Matrix. - Igor Carrara; Théodore Papadopoulo (IEEE Trans. Biomed. Eng., 2024)

Brain Network Alignment Using Structural and Functional Connectivity With Anatomical Constraints. - Yanis Aeschlimann; Anna Calissano; Théo Papadopoulo; Samuel Deslauriers-Gauthier (ISBI, 2025)