Sylvain Takerkart

32 papers A* 1B 2C 1Journal 14Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Validation Conditions for the Use of Diffusion Tensor Imaging for Neuroprognosis: A Clinical and Technical Review. Int. J. Biomed. Imaging Pierre Simeone, Vincent Perlbarg, Guillaume Auzias, Sylvain Takerkart, Olivier Coulon, Vincent Doat-Sarfati, Vince D. Calhoun, Valentine Battisti, Lionel Velly, Damien Galanaud, Jean-François Hak, Nadine Girard, Mélanie Pélégrini-Issac, Louis Puybasset
2025	—	`conf`	Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models. GbRPR Alexis Imbert, Benoit Gaüzère, Sylvain Takerkart, Guillaume Auzias, Paul Honeine
2024	—	`conf`	Geometric Deep Learning for Sulcal Graphs. ISBI Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias
2023	J	`jnl`	Population-wise Labeling of Sulcal Graphs using Multi-graph Matching. CoRR Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias
2022	C	`conf`	Kernelized multi-graph matching. ACML François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart
2022	J	`jnl`	Kernelized multi-graph matching. CoRR François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart
2022	B	`conf`	On The Relevance of Multi-Graph Matching for Sulcal Graphs. ICIP Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias
2021	—	`conf`	Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching. ISBI Nathan Buskulic, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias
2020	J	`jnl`	Inter-subject pattern analysis for multivariate group analysis of functional neuroimaging. A unifying formalization. Comput. Methods Programs Biomed. Qi Wang, Thierry Artières, Sylvain Takerkart
2020	J	`jnl`	Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA. NeuroImage Qi Wang, Bastien Cagna, Thierry Chaminade, Sylvain Takerkart
2020	B	`conf`	Mapping individual differences in cortical architecture using multi-view representation learning. IJCNN Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart
2020	J	`jnl`	Mapping individual differences in cortical architecture using multi-view representation learning. CoRR Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart
2018	J	`jnl`	Functional connectivity within the voice perception network and its behavioural relevance. NeuroImage Virginia Aglieri, Thierry Chaminade, Sylvain Takerkart, Pascal Belin
2018	—	`conf`	Population Averaging of Neuroimaging Data Using L PRNI Qi Wang, Ievgen Redko, Sylvain Takerkart
2017	—	`conf`	ISA - an inverse surface-based approach for cortical fMRI data projection. ISBI Lucie Thiebaut Lonjaret, Christine Bakhous, Timothé Boutelier, Sylvain Takerkart, Olivier Coulon
2017	—	`conf`	Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels. GbRPR Sylvain Takerkart, Gottfried Berton, Nicole Malfait, François-Xavier Dupé
2017	J	`jnl`	Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits. Medical Image Anal. Sylvain Takerkart, Guillaume Auzias, Lucile Brun, Olivier Coulon
2016	J	`jnl`	On the Influence of Confounding Factors in Multisite Brain Morphometry Studies of Developmental Pathologies: Application to Autism Spectrum Disorder. IEEE J. Biomed. Health Informatics Guillaume Auzias, Sylvain Takerkart, Christine Deruelle
2015	—	`—`	A multi-source perspective on inter-subject learning. Contributions to neuroimaging. (Un point de vue multi-source pour l'apprentissage inter-sujet. Contributions pour la neuroimagerie). Sylvain Takerkart
2015	—	`conf`	Mapping cortical shape differences using a searchlight approach based on classification of sulcal pit graphs. ISBI Sylvain Takerkart, Guillaume Auzias, Lucile Brun, Olivier Coulon
2014	—	`conf`	Brain region of interest selection for 18FDG positrons emission tomography computer-aided image classification. IPTA Imene Garali, Mouloud Adel, Sylvain Takerkart, Salah Bourennane, Eric Guedj
2014	—	`conf`	Brain structural underpinnings of autism spectrum disorder revealed by sulcus-based morphometry. BHI Guillaume Auzias, Marine Viellard, Sylvain Takerkart, Nathalie Villeneuve, François Poinso, David Da Fonseca, Nadine Girard, Christine Deruelle
2014	—	`conf`	Detectability of brain structure abnormalities related to autism through MRI-derived measures from multiple scanners. BHI Guillaume Auzias, Camille Breuil, Sylvain Takerkart, Christine Deruelle
2014	—	`conf`	Multiple subject learning for inter-subject prediction. PRNI Sylvain Takerkart, Liva Ralaivola
2012	J	`jnl`	A processing work-flow for measuring erythrocytes velocity in extended vascular networks from wide field high-resolution optical imaging data. NeuroImage Thomas Deneux, Sylvain Takerkart, Amiram Grinvald, Guillaume S. Masson, Ivo Vanzetta
2012	—	`conf`	Graph-Based Inter-subject Classification of Local fMRI Patterns. MLMI Sylvain Takerkart, Guillaume Auzias, Bertrand Thirion, Daniele Schön, Liva Ralaivola
2012	J	`jnl`	Multivoxel Pattern Analysis for fMRI Data: A Review. Comput. Math. Methods Medicine Abdelhak Mahmoudi, Sylvain Takerkart, Fakhita Regragui, Driss Boussaoud, Andrea Brovelli
2011	J	`jnl`	A New Variational Method for Erythrocyte Velocity Estimation in Wide-Field Imaging In Vivo. IEEE Trans. Medical Imaging Thomas Deneux, Olivier D. Faugeras, Sylvain Takerkart, Guillaume S. Masson, Ivo Vanzetta
2011	J	`jnl`	Linear model decomposition for voltage-sensitive dye imaging signals: Application in awake behaving monkey. NeuroImage Alexandre Reynaud, Sylvain Takerkart, Guillaume S. Masson, Frédéric Chavane
2011	A*	`conf`	MKPM: A multiclass extension to the kernel projection machine. CVPR Sylvain Takerkart, Liva Ralaivola
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	J	`jnl`	I learned from what you did: Retrieving visuomotor associations learned by observation. NeuroImage Elisabetta Monfardini, Andrea Brovelli, Driss Boussaoud, Sylvain Takerkart, Bruno Wicker