Elodie Puybareau
Elodie Puybareau
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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
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
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
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
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
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
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
Real-time document detection in smartphone videos
E Puybareau, T Géraud
2018 25th IEEE International Conference on Image Processing (ICIP), 1498-1502, 2018
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
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
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
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
Automated heart rate estimation in fish embryo
E Puybareau, H Talbot, M Léonard
2015 International Conference on Image Processing Theory, Tools and …, 2015
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
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
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
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
On some associations between mathematical morphology and artificial intelligence
I Bloch, S Blusseau, R Pino Pérez, É Puybareau, G Tochon
International conference on discrete geometry and mathematical morphology …, 2021
Do not treat boundaries and regions differently: An example on heart left atrial segmentation
Z Zhao, E Puybareau, N Boutry, T Géraud
2020 25th International Conference on Pattern Recognition (ICPR), 7447-7453, 2021
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