Elodie Puybareau
Elodie Puybareau
Verified email at lrde.epita.fr
Cited by
Cited by
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
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
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
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
Segmentation of gliomas and prediction of patient overall survival: a simple and fast procedure
E Puybareau, G Tochon, J Chazalon, J Fabrizio
International MICCAI Brainlesion Workshop, 199-209, 2018
Real-time document detection in smartphone videos
E Puybareau, T Géraud
2018 25th IEEE International Conference on Image Processing (ICIP), 1498-1502, 2018
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
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
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
International MICCAI Brainlesion Workshop, 501-514, 2017
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
An automated assay for the assessment of cardiac arrest in fish embryo
É Puybareau, D Genest, E Barbeau, M Léonard, H Talbot
Computers in biology and medicine 81, 32-44, 2017
Automated heart rate estimation in fish embryo
E Puybareau, H Talbot, M Léonard
2015 International Conference on Image Processing Theory, Tools and …, 2015
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
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
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
A first step toward a fair comparison of evaluation protocols for text detection algorithms
A Dangla, E Puybareau, G Tochon, J Fabrizio
2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018
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
Automating the measurement of physiological parameters: a case study in the image analysis of cilia motion
E Puybareau, H Talbot, E Bequignon, B Louis, G Pelle, JF Papon, A Coste, ...
2016 IEEE International Conference on Image Processing (ICIP), 1240-1244, 2016
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ...
arXiv preprint arXiv:2004.12314, 2020
Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation
Z Zhao, N Boutry, É Puybareau
Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge …, 2020
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