Optimized PatchMatch for Near Real Time and Accurate Label Fusion. - Vinh-Thong Ta 002; Rémi Giraud; D. Louis Collins; Pierrick Coupé (MICCAI (3), 2014)

SCALP: Superpixels with Contour Adherence using Linear Path. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis (ICPR, 2016)

Patch-Based DTI Grading: Application to Alzheimer's Disease Classification. - Kilian Hett; Vinh-Thong Ta 002; Rémi Giraud; Mary Mondino; José V. Manjón; Pierrick Coupé (Patch-MI@MICCAI, 2016)

An Optimized PatchMatch for multi-scale and multi-feature label fusion. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis; José V. Manjón; D. Louis Collins; Pierrick Coupé (NeuroImage, 2016)

Superpixel-based color transfer. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis (ICIP, 2017)

Robust shape regularity criteria for superpixel evaluation. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis (ICIP, 2017)

Evaluation framework of superpixel methods with a global regularity measure. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis (J. Electronic Imaging, 2017)

CERES: A new cerebellum lobule segmentation method. - José E. Romero; Pierrick Coupé; Rémi Giraud; Vinh-Thong Ta 002; Vladimir S. Fonov; Min Tae M. Park; M. Mallar Chakravarty; Aristotle N. Voineskos; José V. Manjón (NeuroImage, 2017)

SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches. - Rémi Giraud; Vinh-Thong Ta 002; Aurélie Bugeau; Pierrick Coupé; Nicolas Papadakis (IEEE Trans. Image Process., 2017)

Algorithmes de correspondance et superpixels pour l'analyse et le traitement d'images. (Matching algorithms and superpixels for image analysis and processing). - Rémi Giraud (2017)

Robust superpixels using color and contour features along linear path. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis (Comput. Vis. Image Underst., 2018)

Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching. - Rémi Giraud; Yannick Berthoumieu (EUSIPCO, 2019)

Texture-Aware Superpixel Segmentation. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis; Yannick Berthoumieu (ICIP, 2019)

AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation. - Pierrick Coupé; Boris Mansencal; Michaël Clément; Rémi Giraud; Baudouin Denis de Senneville; Vinh-Thong Ta 002; Vincent Lepetit; José V. Manjón (MICCAI (3), 2019)

An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis; José V. Manjón; D. Louis Collins; Pierrick Coupé; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2019)

Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images. - Rémi Giraud; Rodrigo Borba Pinheiro; Yannick Berthoumieu (ICPR, 2020)

Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease. - Kilian Hett; Rémi Giraud; Hans J. Johnson; Jane S. Paulsen; Jeffrey D. Long; Ipek Oguz (MICCAI (7), 2020)

Patch-based field-of-view matching in multi-modal images for electroporation-based ablations. - Luc Lafitte; Rémi Giraud; Cornel Zachiu; Mario Ries; Olivier Sutter; Antoine Petit 004; Olivier Seror; Clair Poignard; Baudouin Denis de Senneville (Comput. Medical Imaging Graph., 2020)

AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation. - Pierrick Coupé; Boris Mansencal; Michaël Clément; Rémi Giraud; Baudouin Denis de Senneville; Vinh-Thong Ta 002; Vincent Lepetit; José V. Manjón (NeuroImage, 2020)

Multi-scale superpatch matching using dual superpixel descriptors. - Rémi Giraud; Merlin Boyer; Michaël Clément (Pattern Recognit. Lett., 2020)

Editorial of the special issue on Computational Image Editing. - Marcelo Bertalmío; Rémi Giraud; Seungyong Lee 001; Olivier Lézoray; Vinh-Thong Ta 002; David Tschumperlé (Signal Process. Image Commun., 2021)

Influence of Color Spaces for Deep Learning Image Colorization. - Coloma Ballester; Aurélie Bugeau; Hernan Carrillo; Michaël Clément; Rémi Giraud; Lara Raad; Patricia Vitoria (CoRR, 2022)

Analysis of Different Losses for Deep Learning Image Colorization. - Coloma Ballester; Aurélie Bugeau; Hernan Carrillo; Michaël Clément; Rémi Giraud; Lara Raad; Patricia Vitoria (CoRR, 2022)

Generalization of the shortest path approach for superpixel segmentation of omnidirectional images. - Rémi Giraud; Rodrigo Borba Pinheiro; Yannick Berthoumieu (Pattern Recognit., 2023)

Deep Spherical Superpixels. - Rémi Giraud; Michaël Clément (ICPR (23), 2024)

Adapted nnU-Net: A Robust Baseline for Cross-Modality Synthesis and Medical Image Inpainting. - Arthur Longuefosse; Edern Le Bot; Baudouin Denis de Senneville; Rémi Giraud; Boris Mansencal; Pierrick Coupé; Pascal Desbarats; Fabien Baldacci (SASHIMI@MICCAI, 2024)

Are Semi-Dense Detector-Free Methods Good at Matching Local Features? - Matthieu Vilain; Rémi Giraud; Hugo Germain; Guillaume Bourmaud (VISIGRAPP (4): VISAPP, 2024)

Superpixel Segmentation: A Long-Lasting Ill-Posed Problem. - Rémi Giraud; Michaël Clément (CoRR, 2024)

Ultra-high resolution multimodal MRI dense labelled holistic brain atlas. - José V. Manjón; Sergio Morell-Ortega; Marina Ruiz-Perez; Boris Mansencal; Edern Le Bot; Marien Gadea; Enrique Lanuza; Gwenaelle Catheline; Thomas Tourdias; Vincent Planche; Rémi Giraud; Denis Rivière; et al. (CoRR, 2025)

FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only. - Edern Le Bot; Rémi Giraud; Boris Mansencal; Thomas Tourdias; José V. Manjón; Pierrick Coupé (CoRR, 2025)