Michaël Clément

39 papers A 2B 1Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
SpIRL: Spatially-aware image representation learning under the supervision of relative position descriptors.
Pattern Recognit.
Logan Servant, Michaël Clément, Laurent Wendling, Camille Kurtz
2025 A conf
Contrastive Learning of Image Representations Guided by Spatial Relations.
WACV
Logan Servant, Michaël Clément, Laurent Wendling, Camille Kurtz
2025 J jnl
Physics-Informed Graph Neural Networks to Reconstruct Local Fields Considering Finite Strain Hyperelasticity.
CoRR
Manuel Ricardo Guevara Garban, Yves Chemisky, Étienne Prulière, Michaël Clément
2025 J jnl
Superpixel Anything: A general object-based framework for accurate yet regular superpixel segmentation.
CoRR
Julien Walther, Rémi Giraud, Michaël Clément
2024 — conf
Deep Spherical Superpixels.
ICPR (23)
Rémi Giraud, Michaël Clément
2024 J jnl
Deep Spherical Superpixels.
CoRR
Rémi Giraud, Michaël Clément
2024 J jnl
Superpixel Segmentation: A Long-Lasting Ill-Posed Problem.
CoRR
Rémi Giraud, Michaël Clément
2023 — conf
3D Transformer Based on Deformable Patch Location for Differential Diagnosis Between Alzheimer's Disease and Frontotemporal Dementia.
MLMI@MICCAI (2)
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2023 J jnl
3D Transformer based on deformable patch location for differential diagnosis between Alzheimer's disease and Frontotemporal dementia.
CoRR
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2023 J jnl
Brain Structure Ages - A new biomarker for multi-disease classification.
CoRR
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2023 J jnl
Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia.
Artif. Intell. Medicine
Huy-Dung Nguyen, Michaël Clément, Vincent Planche, Boris Mansencal, Pierrick Coupé
2023 — conf
Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models.
CVPR Workshops
Hernan Carrillo, Michaël Clément, Aurélie Bugeau, Edgar Simo-Serra
2023 J jnl
Towards better interpretable and generalizable AD detection using collective artificial intelligence.
Comput. Medical Imaging Graph.
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2022 J jnl
Analysis of Different Losses for Deep Learning Image Colorization.
CoRR
Coloma Ballester, Aurélie Bugeau, Hernan Carrillo, Michaël Clément, Rémi Giraud, Lara Raad, Patricia Vitoria
2022 J jnl
Deep Grading based on Collective Artificial Intelligence for AD Diagnosis and Prognosis.
CoRR
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2022 J jnl
Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia.
CoRR
Huy-Dung Nguyen, Michaël Clément, Vincent Planche, Boris Mansencal, Pierrick Coupé
2022 J jnl
Influence of Color Spaces for Deep Learning Image Colorization.
CoRR
Coloma Ballester, Aurélie Bugeau, Hernan Carrillo, Michaël Clément, Rémi Giraud, Lara Raad, Patricia Vitoria
2022 — conf
Interpretable Differential Diagnosis for Alzheimer's Disease and Frontotemporal Dementia.
MICCAI (1)
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2022 J jnl
Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia.
CoRR
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2022 — conf
Non-local Matching of Superpixel-based Deep Features for Color Transfer.
VISIGRAPP (4: VISAPP)
Hernan Carrillo, Michaël Clément, Aurélie Bugeau
2022 — conf
Super-Attention for Exemplar-Based Image Colorization.
ACCV (2)
Hernan Carrillo, Michaël Clément, Aurélie Bugeau
2022 J jnl
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence.
CoRR
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2021 — conf
Deep Grading Based on Collective Artificial Intelligence for AD Diagnosis and Prognosis.
iMIMIC/TDA4MedicalData@MICCAI
Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé
2020 J jnl
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation.
NeuroImage
Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón
2020 — conf
Enlacement and Interlacement Shape Descriptors.
ICPRAI
Michaël Clément, Camille Kurtz, Laurent Wendling
2020 J jnl
Fuzzy directional enlacement landscapes for the evaluation of complex spatial relations.
Pattern Recognit.
Michaël Clément, Camille Kurtz, Laurent Wendling
2020 J jnl
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors.
CoRR
Rémi Giraud, Merlin Boyer, Michaël Clément
2020 J jnl
Multi-scale superpatch matching using dual superpixel descriptors.
Pattern Recognit. Lett.
Rémi Giraud, Merlin Boyer, Michaël Clément
2019 — conf
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation.
MICCAI (3)
Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón
2019 J jnl
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation.
CoRR
Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón
2019 J jnl
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation.
CoRR
Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón
2018 J jnl
Learning spatial relations and shapes for structural object description and scene recognition.
Pattern Recognit.
Michaël Clément, Camille Kurtz, Laurent Wendling
2017 J jnl
Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects.
IEEE Trans. Pattern Anal. Mach. Intell.
Michaël Clément, Adrien Poulenard, Camille Kurtz, Laurent Wendling
2017 — conf
Fuzzy Directional Enlacement Landscapes.
DGCI
Michaël Clément, Camille Kurtz, Laurent Wendling
2017 A conf
Local Enlacement Histograms for Historical Drop Caps Style Recognition.
ICDAR
Michaël Clément, Mickaël Coustaty, Camille Kurtz, Laurent Wendling
2017 — —
Modélisation et apprentissage de relations spatiales pour la reconnaissance et l'interprétation d'images. (Modeling and learning spatial relations for image recognition and understanding).
Michaël Clément
2016 B conf
Bags of spatial relations and shapes features for structural object description.
ICPR
Michaël Clément, Camille Kurtz, Laurent Wendling
2016 — ch.
Description d'objets en couleurs à partir des relations spatiales entre régions structurelles.
Fouille de Données Complexes
Michaël Clément, Camille Kurtz, Laurent Wendling
2015 — conf
Color Object Recognition based on Spatial Relations between Image Layers.
VISAPP (1)
Michaël Clément, Mickaël Garnier, Camille Kurtz, Laurent Wendling