eprintid: 1359
rev_number: 13
eprint_status: archive
userid: 21
dir: disk0/00/00/13/59
datestamp: 2015-08-31 07:55:29
lastmod: 2016-12-07 15:45:24
status_changed: 2015-08-31 07:55:29
type: conference_item
metadata_visibility: show
creators_name: Dinh, Hoan Trinh
creators_name: Marie, Luong
creators_name: Pham, Canh Duong
creators_name: Dibos, Francoise
creators_name: Rocchisani, Jean-Marie
creators_name: Nguyen, Linh Trung
creators_name: Nguyen, Truong
creators_id: marie.luong@univ-paris13.fr
creators_id: linhtrung@vnu.edu.vn
title: An Effective Example-based Learning Method for Denoising of Medical Images Corrupted by Gaussian Noise and Poisson Noise
ispublished: pub
subjects: Communications
subjects: ECE
divisions: fac_fet
date: 2014
date_type: published
publisher: Paris, France
full_text_status: none
pres_type: paper
pagerange: 27-30
event_title: The 21st IEEE International Conference on Image Processing (ICIP)
event_type: conference
refereed: TRUE
citation:   Dinh, Hoan Trinh and Marie, Luong and Pham, Canh Duong and Dibos, Francoise and Rocchisani, Jean-Marie and Nguyen, Linh Trung and Nguyen, Truong  (2014) An Effective Example-based Learning Method for Denoising of Medical Images Corrupted by Gaussian Noise and Poisson Noise.  In: The 21st IEEE International Conference on Image Processing (ICIP).