User

Yongchao Xu

From LRDE

Revision as of 01:08, 14 March 2017 by Xu (talk | contribs) (Research Interests)

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.

Journal Papers

 AuthorTitlePublished inDate
Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 ChallengeLi Wang
Dong Nie
Guannan Li
Élodie Puybareau
Jose Dolz
Qian Zhang
Fan Wang
Jing Xia
Zhengwang Wu
Jiawei Chen
Kim-Han Thung
Toan Duc Bui
Jitae Shin
Guodong Zeng
Guoyan Zheng
Vladimir S Fonov
Andrew Doyle
Yongchao Xu
Pim Moeskops
Josien P W Pluim
Christian Desrosiers
Ismail Ben Ayed
Gerard Sanroma
Oualid M Benkarim
Adrià Casamitjana
Verónica Vilaplana
Weili Lin
Gang Li
Dinggang Shen
Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 ChallengeIEEE Transactions on Medical Imaging11 April 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities: Results of the WMH Segmentation ChallengeH J Kuijf
J M Biesbroek
J de Bresser
R Heinen
S Andermatt
M Bento
M Berseth
M Belyaev
M J Cardoso
A Casamitjana
D L Collins
M Dadar
A Georgiou
M Ghafoorian
D Jin
A Khademi
J Knight
H Li
X Lladó
M Luna
Q Mahmood
R McKinley
A Mehrtash
S Ourselin
B Park
H Park
S H Park
S Pezold
L Rittner
C H Sudre
S Valverde
V Vilaplana
R Wiest
Z Xu
G Zeng
J Zhang
G Zheng
C Chen
W van der Flier
F Barkhof
M A Viergever
G J Biessels
Élodie Puybareau
Yongchao Xu
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities: Results of the WMH Segmentation ChallengeIEEE Transactions on Medical Imaging10 April 2019
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 IntensitiesYongchao Xu
Baptiste Morel
Sonia Dahdouh
Élodie Puybareau
Alessio Virzì
Hélène Urien
Catherine Adamsbaum
Isabelle Bloch
Thierry Géraud
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 IntensitiesMedical Image Analysis22 March 2018
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selectionYongchao Xu
Thierry Géraud
Laurent Najman
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selectionPattern Recognition Letters20 May 2016
Hierarchical Segmentation Using Tree-Based Shape SpacesYongchao Xu
Edwin Carlinet
Thierry Géraud
Laurent Najman
Hierarchical Segmentation Using Tree-Based Shape SpacesIEEE Transactions on Pattern Analysis and Machine Intelligence11 April 2016
Connected Filtering on Tree-Based Shape-SpacesYongchao Xu
Thierry Géraud
Laurent Najman
Connected Filtering on Tree-Based Shape-SpacesIEEE Transactions on Pattern Analysis and Machine Intelligence5 June 2015
Tree-Based Morse Regions: A Topological Approach to Local Feature DetectionYongchao Xu
Thierry Géraud
Pascal Monasse
Laurent Najman
Tree-Based Morse Regions: A Topological Approach to Local Feature DetectionIEEE Transactions on Image Processing3 October 2014

Conference and Workshop Papers

 AuthorTitlePublished inDate
Left Atrial Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer LearningÉlodie Puybareau
Zhou Zhao
Younes Khoudli
Yongchao Xu
Thierry Géraud
Edwin Carlinet
Jérôme Lacotte
Left Atrial Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer LearningProceedings of the Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM 2018), in conjunction with MICCAI25 October 2018
Segmentation des hyperintensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissageÉlodie Puybareau
Yongchao Xu
Joseph Chazalon
Isabelle Bloch
Thierry Géraud
Segmentation des hyperintensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissageActes du congrès Reconnaissance des Formes, ImageApprentissage et Perception (RFIAP), session spéciale “Deep Learning, deep in France”4 May 2018
White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer LearningYongchao Xu
Thierry Géraud
Élodie Puybareau
Isabelle Bloch
Joseph Chazalon
White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer LearningBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries— 3rd International WorkshopBrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14 2017, Revised Selected Papers6 February 2018
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'apprentissageYongchao Xu
Thierry Géraud
Isabelle Bloch
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'apprentissageActes du 26e Colloque GRETSI20 June 2017
From Neonatal to Adult Brain MR Image Segmentation in a Few Seconds Using 3D-Like Fully Convolutional Network and Transfer LearningYongchao Xu
Thierry Géraud
Isabelle Bloch
From Neonatal to Adult Brain MR Image Segmentation in a Few Seconds Using 3D-Like Fully Convolutional Network and Transfer LearningProceedings of the 23rd IEEE International Conference on Image Processing (ICIP)12 June 2017
La pseudo-distance du dahuEdwin Carlinet
Yongchao Xu
Nicolas Boutry
Thierry Géraud
La pseudo-distance du dahuActes d'ORASIS21 March 2017
Morphological Hierarchical Image Decomposition Based on Laplacian 0-CrossingsLê Duy Huỳnh
Yongchao Xu
Thierry Géraud
Morphological Hierarchical Image Decomposition Based on Laplacian 0-CrossingsMathematical Morphology and Its Application to Signal and Image Processing – Proceedings of the 13th International Symposium on Mathematical Morphology (ISMM)23 February 2017
Introducing the Dahu Pseudo-DistanceThierry Géraud
Yongchao Xu
Edwin Carlinet
Nicolas Boutry
Introducing the Dahu Pseudo-DistanceMathematical Morphology and Its Application to Signal and Image Processing – Proceedings of the 13th International Symposium on Mathematical Morphology (ISMM)23 February 2017
Morphology-Based Hierarchical Representation with Application to Text Segmentation in Natural ImagesLê Duy Huỳnh
Yongchao Xu
Thierry Géraud
Morphology-Based Hierarchical Representation with Application to Text Segmentation in Natural ImagesProceedings of the 23st International Conference on Pattern Recognition (ICPR)13 July 2016
A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRIBaptiste Morel
Yongchao Xu
Alessio Virzi
Thierry Géraud
Catherine Adamsbaum
Isabelle Bloch
A Challenging Issue: Detection of White Matter Hyperintensities in Neonatal Brain MRIProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society20 May 2016
Efficient Computation of Attributes and Saliency Maps on Tree-Based Image RepresentationsYongchao Xu
Edwin Carlinet
Thierry Géraud
Laurent Najman
Efficient Computation of Attributes and Saliency Maps on Tree-Based Image RepresentationsMathematical Morphology and Its Application to Signal and Image Processing – Proceedings of the 12th International Symposium on Mathematical Morphology (ISMM)7 April 2015
Espaces des formes basés sur des arbres : définition et applications en traitement d'images et vision par ordinateurYongchao Xu
Thierry Géraud
Laurent Najman
Espaces des formes basés sur des arbres : définition et applications en traitement d'images et vision par ordinateurActes du 19ème Congrès National sur Reconnaissance des Formes et l'Intelligence Artificielle (RFIA)1 July 2014
Meaningful disjoint level lines selectionYongchao Xu
Edwin Carlinet
Thierry Géraud
Laurent Najman
Meaningful disjoint level lines selectionProceedings of the 21st International Conference on Image Processing (ICIP)26 May 2014
Salient Level Lines Selection Using the Mumford-Shah FunctionalYongchao Xu
Thierry Géraud
Laurent Najman
Salient Level Lines Selection Using the Mumford-Shah FunctionalProceedings of the 20th International Conference on Image Processing (ICIP)27 May 2013
Two applications of shape-based morphology: blood vessels segmentation and a generalization of constrained connectivityYongchao Xu
Thierry Géraud
Laurent Najman
Two applications of shape-based morphology: blood vessels segmentation and a generalization of constrained connectivityMathematical Morphology and Its Application to Signal and Image Processing – Proceedings of the 11th International Symposium on Mathematical Morphology (ISMM)14 March 2013
Morphological Filtering in Shape Spaces : Applications using Tree-Based Image RepresentationsYongchao Xu
Thierry Géraud
Laurent Najman
Morphological Filtering in Shape Spaces : Applications using Tree-Based Image RepresentationsProceedings of the 21st International Conference on Pattern Recognition (ICPR)16 June 2012
Context-Based Energy Estimator: Application to Object Segmentation on the Tree of ShapesYongchao Xu
Thierry Géraud
Laurent Najman
Context-Based Energy Estimator: Application to Object Segmentation on the Tree of ShapesProceedings of the 19th International Conference on Image Processing (ICIP)17 April 2012

Thesis

 AuthorTitleDate
Tree-based shape spaces: Definition and applications in image processing and computer visionYongchao XuTree-based shape spaces: Definition and applications in image processing and computer vision12 December 2013

Oral Presentations