Thèse:

Soutenue en décembre 2016 et disponible en français:

Approches bayésiennes non paramétriques et apprentissage de dictionnaire pour les problèmes inverses en traitement d'image [pdf].

Toolbox:

Toolbox IBP-DL en Matlab est disponible ici.

Toolbox IBP-DL en C est dispobible ici.

Publications :

[5] Hong-Phuong DANG, Pierre CHAINAIS, Indian Buffet Process Dictionary Learning : algorithms and applications to image processing, In International Journal of Approximate Reasoning , 1-20,2017, [paper]

 
[4] Hong-Phuong DANG, Pierre CHAINAIS, Towards dictionaries of optimal size: a Bayesian non parametric approach, In Journal of Signal Processing Systems, 1-12,2016, [paper]

 
[3] Hong-Phuong DANG, Pierre CHAINAIS, Indian Buffet Process Dictionary Learning for image inpainting, In IEEE Statistical Signal Processing Workshop, 2016, Palma de Mallorca, [paper]

 
[2] Hong-Phuong DANG, Pierre CHAINAIS, A Bayesian Non Parametric Approach To Learn Dictionaries With Adapted Numbers Of Atoms, In IEEE International Workshop on Machine Learning For Signal Processing, 2015, Boston, Intel Best paper award, [paper]

 
[1] Hong-Phuong DANG, Pierre CHAINAIS, Une approche bayésienne non paramétrique pour l'apprentissage d'un dictionnaire de taille adaptatives, At Colloque Gretsi, 2015, Lyon, [paper]

 

Journaux médicaux :

[2] Erwann Rault, Thomas Lacornerie, Hong-Phuong Dang, Frederik Crop, Eric Lartigau, Nick Reynaert, David Pasquier, Accelerated partial breast irradiation using robotic radiotherapy: a dosimetric comparison with tomotherapy and three-dimensional conformal radiotherapy, In Radiation Oncology, 2016, [paper].

 
[1] Erwann Rault, Thomas Lacornerie, Hong-Phuong Dang, Eric Lartigau, Nick Reynaert, David Pasquier, EP-1610: Accelerated partial breast irradiation using the CyberKnife: A feasibility study, In Radiotherapy and Oncology, 2014, [paper].

 

Liens