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)

I learned from what you did: Retrieving visuomotor associations learned by observation. - Elisabetta Monfardini; Andrea Brovelli; Driss Boussaoud; Sylvain Takerkart; Bruno Wicker (NeuroImage, 2008)

MKPM: A multiclass extension to the kernel projection machine. - Sylvain Takerkart; Liva Ralaivola (CVPR, 2011)

Linear model decomposition for voltage-sensitive dye imaging signals: Application in awake behaving monkey. - Alexandre Reynaud; Sylvain Takerkart; Guillaume S. Masson; Frédéric Chavane (NeuroImage, 2011)

A New Variational Method for Erythrocyte Velocity Estimation in Wide-Field Imaging In Vivo. - Thomas Deneux; Olivier D. Faugeras; Sylvain Takerkart; Guillaume S. Masson; Ivo Vanzetta (IEEE Trans. Medical Imaging, 2011)

Graph-Based Inter-subject Classification of Local fMRI Patterns. - Sylvain Takerkart; Guillaume Auzias; Bertrand Thirion; Daniele Schön; Liva Ralaivola (MLMI, 2012)

Multivoxel Pattern Analysis for fMRI Data: A Review. - Abdelhak Mahmoudi; Sylvain Takerkart; Fakhita Regragui; Driss Boussaoud; Andrea Brovelli (Comput. Math. Methods Medicine, 2012)

A processing work-flow for measuring erythrocytes velocity in extended vascular networks from wide field high-resolution optical imaging data. - Thomas Deneux; Sylvain Takerkart; Amiram Grinvald; Guillaume S. Masson; Ivo Vanzetta (NeuroImage, 2012)

Detectability of brain structure abnormalities related to autism through MRI-derived measures from multiple scanners. - Guillaume Auzias; Camille Breuil; Sylvain Takerkart; Christine Deruelle (BHI, 2014)

Brain structural underpinnings of autism spectrum disorder revealed by sulcus-based morphometry. - Guillaume Auzias; Marine Viellard; Sylvain Takerkart; Nathalie Villeneuve; François Poinso; David Da Fonseca; Nadine Girard; Christine Deruelle (BHI, 2014)

Brain region of interest selection for 18FDG positrons emission tomography computer-aided image classification. - Imene Garali; Mouloud Adel; Sylvain Takerkart; Salah Bourennane; Eric Guedj (IPTA, 2014)

Multiple subject learning for inter-subject prediction. - Sylvain Takerkart; Liva Ralaivola (PRNI, 2014)

Mapping cortical shape differences using a searchlight approach based on classification of sulcal pit graphs. - Sylvain Takerkart; Guillaume Auzias; Lucile Brun; Olivier Coulon (ISBI, 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)

On the Influence of Confounding Factors in Multisite Brain Morphometry Studies of Developmental Pathologies: Application to Autism Spectrum Disorder. - Guillaume Auzias; Sylvain Takerkart; Christine Deruelle (IEEE J. Biomed. Health Informatics, 2016)

Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels. - Sylvain Takerkart; Gottfried Berton; Nicole Malfait; François-Xavier Dupé (GbRPR, 2017)

ISA - an inverse surface-based approach for cortical fMRI data projection. - Lucie Thiebaut Lonjaret; Christine Bakhous; Timothé Boutelier; Sylvain Takerkart; Olivier Coulon (ISBI, 2017)

Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits. - Sylvain Takerkart; Guillaume Auzias; Lucile Brun; Olivier Coulon (Medical Image Anal., 2017)

Population Averaging of Neuroimaging Data Using Lp Distance-based Optimal Transport. - Qi Wang 026; Ievgen Redko; Sylvain Takerkart (PRNI, 2018)

Functional connectivity within the voice perception network and its behavioural relevance. - Virginia Aglieri; Thierry Chaminade; Sylvain Takerkart; Pascal Belin (NeuroImage, 2018)

Mapping individual differences in cortical architecture using multi-view representation learning. - Akrem Sellami; François-Xavier Dupé; Bastien Cagna; Hachem Kadri; Stéphane Ayache; Thierry Artières; Sylvain Takerkart (IJCNN, 2020)

Inter-subject pattern analysis for multivariate group analysis of functional neuroimaging. A unifying formalization. - Qi Wang 026; Thierry Artières; Sylvain Takerkart (Comput. Methods Programs Biomed., 2020)

Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA. - Qi Wang 026; Bastien Cagna; Thierry Chaminade; Sylvain Takerkart (NeuroImage, 2020)

Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching. - Nathan Buskulic; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (ISBI, 2021)

Kernelized multi-graph matching. - François-Xavier Dupé; Rohit Yadav; Guillaume Auzias; Sylvain Takerkart (ACML, 2022)

On The Relevance of Multi-Graph Matching for Sulcal Graphs. - Rohit Yadav; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (ICIP, 2022)

Population-wise Labeling of Sulcal Graphs using Multi-graph Matching. - Rohit Yadav; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (CoRR, 2023)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

Geometric Deep Learning for Sulcal Graphs. - Rohit Yadav; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (ISBI, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models. - Alexis Imbert; Benoit Gaüzère; Sylvain Takerkart; Guillaume Auzias; Paul Honeine (GbRPR, 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)