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Michaël Clément
Michaël Clément
Associate Professor, Bordeaux INP, Univ. Bordeaux, CNRS, LaBRI
Correu electrònic verificat a labri.fr - Pàgina d'inici
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AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation
P Coupé, B Mansencal, M Clément, R Giraud, BD de Senneville, VT Ta, ...
NeuroImage 219, 117026, 2020
1042020
Learning spatial relations and shapes for structural object description and scene recognition
M Clément, C Kurtz, L Wendling
Pattern Recognition 84, 197-210, 2018
442018
Directional enlacement histograms for the description of complex spatial configurations between objects
M Clément, A Poulenard, C Kurtz, L Wendling
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (12), 2366 …, 2017
282017
AssemblyNet: A novel deep decision-making process for whole brain MRI segmentation
P Coupé, B Mansencal, M Clément, R Giraud, BD de Senneville, VT Ta, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
272019
Bags of spatial relations and shapes features for structural object description
M Clément, C Kurtz, L Wendling
International Conference on Pattern Recognition (ICPR), 1994-1999, 2016
112016
Interpretable differential diagnosis for Alzheimer’s disease and frontotemporal dementia
HD Nguyen, M Clément, B Mansencal, P Coupé
International Conference on Medical Image Computing and Computer-Assisted …, 2022
92022
Color object recognition based on spatial relations between image layers
M Clément, M Garnier, C Kurtz, L Wendling
International Conference on Computer Vision Theory and Applications (VISAPP …, 2015
92015
Fuzzy directional enlacement landscapes for the evaluation of complex spatial relations
M Clément, C Kurtz, L Wendling
Pattern Recognition 101, 2020
72020
Towards better interpretable and generalizable AD detection using collective artificial intelligence
HD Nguyen, M Clément, B Mansencal, P Coupé
Computerized Medical Imaging and Graphics, 2023
52023
Super-attention for exemplar-based image colorization
H Carrillo, M Clément, A Bugeau
Asian Conference on Computer Vision (ACCV), 2022
52022
Influence of color spaces for deep learning image colorization
C Ballester, A Bugeau, H Carrillo, M Clément, R Giraud, L Raad, P Vitoria
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022
5*2022
Deep grading based on collective artificial intelligence for AD diagnosis and prognosis
HD Nguyen, M Clément, B Mansencal, P Coupé
MICCAI Workshop on Interpretability of Machine Intelligence in Medical Image …, 2021
52021
Multi-scale superpatch matching using dual superpixel descriptors
R Giraud, M Boyer, M Clément
Pattern Recognition Letters, 2020
52020
Fuzzy directional enlacement landscapes
M Clément, C Kurtz, L Wendling
International Conference on Discrete Geometry for Computer Imagery (DGCI …, 2017
52017
Local enlacement histograms for historical drop caps style recognition
M Clément, M Coustaty, C Kurtz, L Wendling
International Conference on Document Analysis and Recognition (ICDAR), 299-304, 2017
42017
Deep grading for MRI-based differential diagnosis of Alzheimer’s disease and Frontotemporal dementia
HD Nguyen, M Clément, V Planche, B Mansencal, P Coupé
Artificial Intelligence in Medicine, 2023
32023
Non-local matching of superpixel-based deep features for color transfer
H Carrillo, M Clément, A Bugeau
International Conference on Computer Vision Theory and Applications (VISAPP), 2022
32022
Analysis of different losses for deep learning image colorization
C Ballester, A Bugeau, H Carrillo, M Clément, R Giraud, L Raad, P Vitoria
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022
32022
Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models
H Carrillo, M Clément, A Bugeau, E Simo-Serra
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
22023
Brain structure ages—A new biomarker for multi‐disease classification
HD Nguyen, M Clément, B Mansencal, P Coupé
Human Brain Mapping, 2024
12024
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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