User

Yongchao Xu

From LRDE

Status

I am a Maître de Conférences (tenured Assistant Professor) at EPITA, a research member of LRDE. I received my PhD degree in image processing and computer vision at Université Paris Est, under the supervision of Prof. Thierry Géraud and Laurent Najman. I'm also an Associate Researcher with TSI/Télécom ParisTech.

Contact information

  • Email: yongchao.xu@lrde.epita.fr
  • Phone: +33 1 53 14 59 47
  • Fax: +33 1 53 14 59 22
  • Department: EPITA Research and Development Laboratory (LRDE)
  • Location: 14-16 rue Voltaire, F-94276 Le Kremlin-Bicetre, France


Research Interests

  • Mathematical morphology
  • Image processing
  • Medical image analysis
  • Document image analysis
  • Local feature detection
  • Image registration
  • Multi-view 3D reconstruction
  • Deep learning

Publications

See also my Google Scholar page.


 Publication type
A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRIinproceedings
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
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
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
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
White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learninginproceedings

Oral Presentations