Seguir
Elodie Puybareau
Elodie Puybareau
LRE (EPITA)
Dirección de correo verificada de lrde.epita.fr
Título
Citado por
Citado por
Año
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17412018
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
2632019
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ...
Medical image analysis 67, 101832, 2021
2072021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical image analysis 73, 102166, 2021
1832021
Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ...
IEEE transactions on medical imaging 38 (9), 2219-2230, 2019
1832019
PAIP 2019: Liver cancer segmentation challenge
YJ Kim, H Jang, K Lee, S Park, SG Min, C Hong, JH Park, K Lee, J Kim, ...
Medical image analysis 67, 101854, 2021
792021
Segmentation of gliomas and prediction of patient overall survival: a simple and fast procedure
E Puybareau, G Tochon, J Chazalon, J Fabrizio
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
382019
QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ...
The journal of machine learning for biomedical imaging 2022, 2022
322022
Real-time document detection in smartphone videos
E Puybareau, T Géraud
2018 25th IEEE International Conference on Image Processing (ICIP), 1498-1502, 2018
302018
Left atrial segmentation in a few seconds using fully convolutional network and transfer learning
É Puybareau, Z Zhao, Y Khoudli, E Carlinet, Y Xu, J Lacotte, T Géraud
International Workshop on Statistical Atlases and Computational Models of …, 2018
242018
White matter hyperintensities segmentation in a few seconds using fully convolutional network and transfer learning
Y Xu, T Géraud, É Puybareau, I Bloch, J Chazalon
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
172018
Automated heart rate estimation in fish embryo
E Puybareau, H Talbot, M Léonard
2015 International Conference on Image Processing Theory, Tools and …, 2015
172015
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images
L Li, F Wu, S Wang, X Luo, C Martín-Isla, S Zhai, J Zhang, Y Liu, Z Zhang, ...
Medical Image Analysis 87, 102808, 2023
162023
Why is the winner the best?
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
162023
Going beyond p-convolutions to learn grayscale morphological operators
A Kirszenberg, G Tochon, É Puybareau, J Angulo
International Conference on Discrete Geometry and Mathematical Morphology …, 2021
142021
An automated assay for the assessment of cardiac arrest in fish embryo
E Puybareau, D Genest, E Barbeau, M Léonard, H Talbot
Computers in biology and medicine 81, 32-44, 2017
142017
A regionalized automated measurement of ciliary beating frequency
E Puybareau, H Talbot, G Pelle, B Louis, JF Papon, A Coste, L Najman
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 528-531, 2015
122015
Learning grayscale mathematical morphology with smooth morphological layers
R Hermary, G Tochon, É Puybareau, A Kirszenberg, J Angulo
Journal of Mathematical Imaging and Vision 64 (7), 736-753, 2022
92022
Using separated inputs for multimodal brain tumor segmentation with 3d u-net-like architectures
N Boutry, J Chazalon, E Puybareau, G Tochon, H Talbot, T Géraud
International MICCAI Brainlesion Workshop, 187-199, 2019
82019
The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high …
Y Xu, B Morel, S Dahdouh, É Puybareau, A Virzì, H Urien, T Géraud, ...
Medical Image Analysis 48, 75-94, 2018
82018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20