G
Gang Song
Researcher at Guangzhou University
Publications - 96
Citations - 9062
Gang Song is an academic researcher from Guangzhou University. The author has contributed to research in topics: Adsorption & Chemistry. The author has an hindex of 28, co-authored 81 publications receiving 5965 citations. Previous affiliations of Gang Song include Intel & University of Pennsylvania.
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Journal ArticleDOI
A reproducible evaluation of ANTs similarity metric performance in brain image registration.
TL;DR: This is the first study to use a consistent transformation framework to provide a reproducible evaluation of the isolated effect of the similarity metric on optimal template construction and brain labeling, and to quantify the similarity of templates derived from different subgroups.
Journal ArticleDOI
Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements.
Nicholas J. Tustison,Philip A. Cook,Arno Klein,Gang Song,Sandhitsu R. Das,Jeffrey T. Duda,Benjamin M. Kandel,Niels M. van Strien,James R. Stone,James C. Gee,Brian B. Avants +10 more
TL;DR: The largest evaluation of automated cortical thickness measures in publicly available data is conducted, comparing FreeSurfer and ANTs measures computed on 1205 images from four open data sets, with parcellation based on the recently proposed Desikan-Killiany-Tourville cortical labeling protocol.
Journal ArticleDOI
The Insight ToolKit image registration framework
TL;DR: The ITK4 contribution is intended as a structure to support reproducible research practices, will provide a more extensive foundation against which to evaluate new work in image registration and also enable application level programmers a broad suite of tools on which to build.
Journal ArticleDOI
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
Keelin Murphy,B. van Ginneken,Joseph M. Reinhardt,Sven Kabus,Kai Ding,Xiang Deng,Kunlin Cao,Kaifang Du,Gary E. Christensen,V. Garcia,Tom Vercauteren,Nicholas Ayache,Olivier Commowick,Grégoire Malandain,Ben Glocker,Nikos Paragios,Nassir Navab,Vladlena Gorbunova,Jon Sporring,M. de Bruijne,Xiao Han,Mattias P. Heinrich,Julia A. Schnabel,Mark Jenkinson,Cristian Lorenz,Marc Modat,Jamie R. McClelland,Sebastien Ourselin,Sascha E. A. Muenzing,Max A. Viergever,Dante De Nigris,D. L. Collins,Tal Arbel,M. Peroni,Rui Li,Gregory C. Sharp,Alexander Schmidt-Richberg,Jan Ehrhardt,René Werner,Dirk Smeets,Dirk Loeckx,Gang Song,Nicholas J. Tustison,Brian B. Avants,James C. Gee,Marius Staring,Stefan Klein,Berend C. Stoel,Martin Urschler,Manuel Werlberger,Jef Vandemeulebroucke,Simon Rit,David Sarrut,Josien P. W. Pluim +53 more
TL;DR: The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.
Journal ArticleDOI
Recent advances in metal-organic framework membranes for water treatment: A review.
Shujun Yu,Shujun Yu,Hongwei Pang,Shuyi Huang,Hao Tang,Shuqin Wang,Muqing Qiu,Zhongshan Chen,Hui Yang,Gang Song,Dong Fu,Baowei Hu,Xiangxue Wang +12 more
TL;DR: In this article, a comprehensive review of metal-organic framework (MOF) containing membranes for water treatment is presented. And the potential environmental application of MOF-containing membranes from four aspects (stability of MOFs, antifouling performance of membranes, compatibility between MOF fillers and polymer matrix, dispersity of nanoparticles in matrix), are analyzed.