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Élodie Puybareau
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2020 – today
- 2024
- [j10]Carole H. Sudre
, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024) - 2023
- [j9]Lei Li
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87: 102808 (2023) - [c22]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c21]Philippe Bernet
Linear Object Detection in Document Images Using Multiple Object Tracking. ICDAR (5) 2023: 454-471 - [i8]Philippe Bernet, Joseph Chazalon, Edwin Carlinet, Alexandre Bourquelot, Élodie Puybareau:
Linear Object Detection in Document Images using Multiple Object Tracking. CoRR abs/2305.16968 (2023) - 2022
- [j8]Romain Hermary
Learning Grayscale Mathematical Morphology with Smooth Morphological Layers. J. Math. Imaging Vis. 64(7): 736-753 (2022) - [i7]Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR abs/2201.03186 (2022) - [i6]Carole H. Sudre
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR abs/2208.07167 (2022) - 2021
- [j7]Zhaohan Xiong
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 67: 101832 (2021) - [j6]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [c20]Isabelle Bloch
On Some Associations Between Mathematical Morphology and Artificial Intelligence. DGMM 2021: 457-469 - [c19]Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo:
Going Beyond p-convolutions to Learn Grayscale Morphological Operators. DGMM 2021: 470-482 - [i5]Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo:
Going beyond p-convolutions to learn grayscale morphological operators. CoRR abs/2102.10038 (2021) - [i4]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [c18]Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud:
FOANet: A Focus of Attention Network with Application to Myocardium Segmentation. ICPR 2020: 1120-1127 - [c17]Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud:
Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation. ICPR 2020: 7447-7453 - [c16]Zhou Zhao, Nicolas Boutry
Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation. MyoPS@MICCAI 2020: 138-145 - [i3]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i2]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020)
2010 – 2019
- 2019
- [j5]Diane Genest, Élodie Puybareau, Marc Léonard, Jean Cousty, Noémie De Crozé, Hugues Talbot
High throughput automated detection of axial malformations in Medaka embryo. Comput. Biol. Medicine 105: 157-168 (2019) - [j4]Li Wang
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [j3]Hugo J. Kuijf
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c15]Thibault Buatois, Élodie Puybareau, Guillaume Tochon, Joseph Chazalon:
Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival. BrainLes@MICCAI (2) 2019: 167-178 - [c14]Nicolas Boutry
Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures. BrainLes@MICCAI (1) 2019: 187-199 - [c13]Élodie Puybareau, Edwin Carlinet, Alessandro Benfenati, Hugues Talbot
Spherical Fluorescent Particle Segmentation and Tracking in 3D Confocal Microscopy. ISMM 2019: 520-531 - [c12]Zhou Zhao, Nicolas Boutry, Élodie Puybareau, Thierry Géraud:
A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images. STACOM@MICCAI 2019: 405-413 - [i1]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - 2018
- [j2]Yongchao Xu
The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities. Medical Image Anal. 48: 75-94 (2018) - [c11]Aliona Dangla, Élodie Puybareau, Guillaume Tochon, Jonathan Fabrizio:
A First Step Toward a Fair Comparison of Evaluation Protocols for Text Detection Algorithms. DAS 2018: 345-350 - [c10]Élodie Puybareau, Thierry Géraud:
Real-Time Document Detection in Smartphone Videos. ICIP 2018: 1498-1502 - [c9]Élodie Puybareau, Guillaume Tochon, Joseph Chazalon, Jonathan Fabrizio:
Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure. BrainLes@MICCAI (2) 2018: 199-209 - [c8]Élodie Puybareau, Zhou Zhao, Younes Khoudli, Edwin Carlinet, Yongchao Xu, Jérôme Lacotte, Thierry Géraud:
Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. STACOM@MICCAI 2018: 339-347 - 2017
- [j1]Élodie Puybareau, Diane Genest, Emilie Barbeau, Marc Léonard, Hugues Talbot
An automated assay for the assessment of cardiac arrest in fish embryo. Comput. Biol. Medicine 81: 32-44 (2017) - [c7]Élodie Puybareau, Hugues Talbot
Periodic area-of-motion characterization for bio-medical applications. ISBI 2017: 210-214 - [c6]Élodie Puybareau, Hugues Talbot
Morphological Analysis of Brownian Motion for Physical Measurements. ISMM 2017: 486-497 - [c5]Yongchao Xu, Thierry Géraud
White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. BrainLes@MICCAI 2017: 501-514 - 2016
- [b1]Élodie Puybareau:
Motion analysis for Medical and Bio-medical applications. (Analyse du mouvement pour applications médicales et bio-médicales). University of Paris-Est, France, 2016 - [c4]Élodie Puybareau, Hugues Talbot
Automating the measurement of physiological parameters: A case study in the image analysis of cilia motion. ICIP 2016: 1240-1244 - 2015
- [c3]Élodie Puybareau, Hugues Talbot
Automated heart rate estimation in fish embryo. IPTA 2015: 379-384 - [c2]Élodie Puybareau, Hugues Talbot
A regionalized automated measurement of ciliary beating frequency. ISBI 2015: 528-531 - [c1]Élodie Puybareau, Marc Léonard, Hugues Talbot:
An Automated Assay for the Evaluation of Mortality in Fish Embryo. ISMM 2015: 110-121
Coauthor Index
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last updated on 2024-11-25 22:43 CET by the dblp team
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