Ludovic Le Frioux


Revision as of 10:18, 18 September 2017 by Clément Démoulins (talk | contribs)
 Publication type
A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRIinproceedings
A Global Benchmark of Algorithms for Segmenting the Left Atrium from Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imagingarticle
Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challengearticle
Connected Filtering on Tree-Based Shape-Spacesarticle
Context-Based Energy Estimator: Application to Object Segmentation on the Tree of Shapesinproceedings
Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representationsinproceedings
Espaces des formes basés sur des arbres : définition et applications en traitement d'images et vision par ordinateurinproceedings
From Neonatal to Adult Brain MR Image Segmentation in a Few Seconds Using 3D-Like Fully Convolutional Network and Transfer Learninginproceedings
Hierarchical Segmentation Using Tree-Based Shape Spacesarticle
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selectionarticle
Introducing the Dahu Pseudo-Distanceinproceedings
La pseudo-distance du dahuinproceedings
Left Atrial Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learninginproceedings
Local Intensity Order Transformation for Robust Curvilinear Object Segmentationarticle
Meaningful disjoint level lines selectioninproceedings
Morphological Filtering in Shape Spaces : Applications using Tree-Based Image Representationsinproceedings
Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossingsinproceedings
Morphology-Based Hierarchical Representation with Application to Text Segmentation in Natural Imagesinproceedings
Multi-band segmentation using morphological clustering and fusion application to color image segmentationinproceedings
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation — Analysis of Ranking Scores and Benchmarking Resultsarticle
Salient Level Lines Selection Using the Mumford-Shah Functionalinproceedings
Segmentation d'IRM de cerveaux de nouveau-nés en quelques secondes à l'aide d'un réseau de neurones convolutif pseudo-3D et de transfert d'apprentissageinproceedings
Segmentation des hyperintensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissageinproceedings
Spot 2.0 — a framework for LTL and ω-automata manipulationinproceedings
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities: Results of the WMH Segmentation Challengearticle
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 Intensitiesarticle
Tree-Based Morse Regions: A Topological Approach to Local Feature Detectionarticle
Tree-based shape spaces: Definition and applications in image processing and computer visionphdthesis
Two applications of shape-based morphology: blood vessels segmentation and a generalization of constrained connectivityinproceedings
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Imagesarticle
White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learninginproceedings