eprintid: 4525
rev_number: 13
eprint_status: archive
userid: 366
dir: disk0/00/00/45/25
datestamp: 2021-06-28 02:28:49
lastmod: 2021-06-28 02:28:49
status_changed: 2021-06-28 02:28:49
type: article
metadata_visibility: show
creators_name: Luu, Ha Manh
creators_name: Walsum, Theo
creators_name: Franklin, Daniel
creators_name: Pham, Phuong Cam
creators_name: Vu, Luu Dang
creators_name: Moelker, Adriaan
creators_name: Staring, Marius
creators_name: VanHoang, Xiem
creators_name: Niessen, Wiro
creators_name: Trung, Nguyen Linh
title: Efficiently compressing 3D medical images for teleinterventions via CNNs and anisotropic diffusion
ispublished: pub
subjects: Communications
subjects: ElectronicsandComputerEngineering
subjects: isi
divisions: avitech
divisions: fac_fet
date: 2021
official_url: http://dx.doi.org/10.1002/mp.14814
id_number: 10.1002/mp.14814
full_text_status: none
publication: Medical Physics
refereed: TRUE
issn: 0094-2405
citation:   Luu, Ha Manh and Walsum, Theo and Franklin, Daniel and Pham, Phuong Cam and Vu, Luu Dang and Moelker, Adriaan and Staring, Marius and VanHoang, Xiem and Niessen, Wiro and Trung, Nguyen Linh  (2021) Efficiently compressing 3D medical images for teleinterventions via CNNs and anisotropic diffusion.  Medical Physics .    ISSN 0094-2405