Michaël Clément

According to our database, Michaël Clément authored at least 26 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Superpixel Segmentation: A Long-Lasting Ill-Posed Problem.

Rémi Giraud, Michaël Clément

CoRR, 2024

Deep Spherical Superpixels.

Rémi Giraud, Michaël Clément

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia.

Huy-Dung Nguyen, Michaël Clément, Vincent Planche, Boris Mansencal, Pierrick Coupé

Artif. Intell. Medicine, October, 2023

Towards better interpretable and generalizable AD detection using collective artificial intelligence.

Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé

Comput. Medical Imaging Graph., March, 2023

Brain Structure Ages - A new biomarker for multi-disease classification.

Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé

CoRR, 2023

3D Transformer Based on Deformable Patch Location for Differential Diagnosis Between Alzheimer's Disease and Frontotemporal Dementia.

Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models.

Hernan Carrillo, Michaël Clément, Aurélie Bugeau, Edgar Simo-Serra

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

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

Non-local Matching of Superpixel-based Deep Features for Color Transfer.

Hernan Carrillo, Michaël Clément, Aurélie Bugeau

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Interpretable Differential Diagnosis for Alzheimer's Disease and Frontotemporal Dementia.

Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Super-Attention for Exemplar-Based Image Colorization.

Hernan Carrillo, Michaël Clément, Aurélie Bugeau

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Deep Grading Based on Collective Artificial Intelligence for AD Diagnosis and Prognosis.

Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

2020

Multi-scale superpatch matching using dual superpixel descriptors.

Rémi Giraud, Merlin Boyer, Michaël Clément

Pattern Recognit. Lett., 2020

Fuzzy directional enlacement landscapes for the evaluation of complex spatial relations.

Michaël Clément, Camille Kurtz, Laurent Wendling

Pattern Recognit., 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, Vincent Lepetit, José V. Manjón

NeuroImage, 2020

Enlacement and Interlacement Shape Descriptors.

Michaël Clément, Camille Kurtz, Laurent Wendling

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

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, Vincent Lepetit, José V. Manjón

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Learning spatial relations and shapes for structural object description and scene recognition.

Michaël Clément, Camille Kurtz, Laurent Wendling

Pattern Recognit., 2018

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

PhD thesis, 2017

Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects.

Michaël Clément, Adrien Poulenard, Camille Kurtz, Laurent Wendling

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Local Enlacement Histograms for Historical Drop Caps Style Recognition.

Michaël Clément, Mickaël Coustaty, Camille Kurtz, Laurent Wendling

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Fuzzy Directional Enlacement Landscapes.

Michaël Clément, Camille Kurtz, Laurent Wendling

Proceedings of the Discrete Geometry for Computer Imagery, 2017

2016

Description d'objets en couleurs à partir des relations spatiales entre régions structurelles.

Michaël Clément, Camille Kurtz, Laurent Wendling

Proceedings of the Fouille de Données Complexes, 2016

Bags of spatial relations and shapes features for structural object description.

Michaël Clément, Camille Kurtz, Laurent Wendling

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Color Object Recognition based on Spatial Relations between Image Layers.

Michaël Clément, Mickaël Garnier, Camille Kurtz, Laurent Wendling

Proceedings of the VISAPP 2015, 2015