Élodie Puybareau

Orcid: 0000-0002-2748-6624

According to our database1, Élodie Puybareau authored at least 37 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024

2023
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023

Linear Object Detection in Document Images Using Multiple Object Tracking.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Grayscale Mathematical Morphology with Smooth Morphological Layers.
J. Math. Imaging Vis., 2022

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022

2021
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.
Medical Image Anal., 2021

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

Going Beyond p-convolutions to Learn Grayscale Morphological Operators.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

On Some Associations Between Mathematical Morphology and Artificial Intelligence.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020

Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

FOANet: A Focus of Attention Network with Application to Myocardium Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019

High throughput automated detection of axial malformations in Medaka embryo.
Comput. Biol. Medicine, 2019

A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Spherical Fluorescent Particle Segmentation and Tracking in 3D Confocal Microscopy.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
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., 2018

Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Real-Time Document Detection in Smartphone Videos.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A First Step Toward a Fair Comparison of Evaluation Protocols for Text Detection Algorithms.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017
An automated assay for the assessment of cardiac arrest in fish embryo.
Comput. Biol. Medicine, 2017

White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Morphological Analysis of Brownian Motion for Physical Measurements.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

Periodic area-of-motion characterization for bio-medical applications.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Motion analysis for Medical and Bio-medical applications. (Analyse du mouvement pour applications médicales et bio-médicales).
PhD thesis, 2016

Automating the measurement of physiological parameters: A case study in the image analysis of cilia motion.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
An Automated Assay for the Evaluation of Mortality in Fish Embryo.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

A regionalized automated measurement of ciliary beating frequency.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automated heart rate estimation in fish embryo.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015


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