Sylvain Takerkart

Orcid: 0000-0001-8410-0962

According to our database1, Sylvain Takerkart authored at least 27 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Population-wise Labeling of Sulcal Graphs using Multi-graph Matching.
CoRR, 2023

2022
On The Relevance of Multi-Graph Matching for Sulcal Graphs.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Kernelized multi-graph matching.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA.
NeuroImage, 2020

Inter-subject pattern analysis for multivariate group analysis of functional neuroimaging. A unifying formalization.
Comput. Methods Programs Biomed., 2020

Mapping individual differences in cortical architecture using multi-view representation learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018
Functional connectivity within the voice perception network and its behavioural relevance.
NeuroImage, 2018

Population Averaging of Neuroimaging Data Using L<sup>p</sup> Distance-based Optimal Transport.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

2017
Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits.
Medical Image Anal., 2017

ISA - an inverse surface-based approach for cortical fMRI data projection.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

2016
On the Influence of Confounding Factors in Multisite Brain Morphometry Studies of Developmental Pathologies: Application to Autism Spectrum Disorder.
IEEE J. Biomed. Health Informatics, 2016

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).
PhD thesis, 2015

Mapping cortical shape differences using a searchlight approach based on classification of sulcal pit graphs.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Multiple subject learning for inter-subject prediction.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Brain region of interest selection for 18FDG positrons emission tomography computer-aided image classification.
Proceedings of the 4th International Conference on Image Processing Theory, 2014

Brain structural underpinnings of autism spectrum disorder revealed by sulcus-based morphometry.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

Detectability of brain structure abnormalities related to autism through MRI-derived measures from multiple scanners.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2012
A processing work-flow for measuring erythrocytes velocity in extended vascular networks from wide field high-resolution optical imaging data.
NeuroImage, 2012

Multivoxel Pattern Analysis for fMRI Data: A Review.
Comput. Math. Methods Medicine, 2012

Graph-Based Inter-subject Classification of Local fMRI Patterns.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

2011
A New Variational Method for Erythrocyte Velocity Estimation in Wide-Field Imaging In Vivo.
IEEE Trans. Medical Imaging, 2011

Linear model decomposition for voltage-sensitive dye imaging signals: Application in awake behaving monkey.
NeuroImage, 2011

MKPM: A multiclass extension to the kernel projection machine.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2008
I learned from what you did: Retrieving visuomotor associations learned by observation.
NeuroImage, 2008

A quantification framework for post-lesion neo-vascularization in retinal angiography.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008


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