A novel similarity measure for fiber clustering using longest common subsequence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2011 workshop on Data mining for medicine and healthcare
Pages	1-9
Number of pages	9
ISBN (Electronic)	978-1-4503-0843-4
DOIs	https://doi.org/10.1145/2023582.2023584
Publication status	Published - 2011
Externally published	Yes

Keywords

@inproceedings{3e2d8809907645bfb70c22cea3a8a28f,

title = "A novel similarity measure for fiber clustering using longest common subsequence",

keywords = "Fiber Clustering, Longest Common Subsequence, Diffusion Tensor Imaging",

author = "Christian Boehm and Jing Feng and Xiao He and Mai, \{Thai Son\} and Claudia Plant and Junming Shao",

year = "2011",

doi = "10.1145/2023582.2023584",

language = "English",

pages = "1--9",

booktitle = "Proceedings of the 2011 workshop on Data mining for medicine and healthcare",

}

TY - GEN

T1 - A novel similarity measure for fiber clustering using longest common subsequence

AU - Boehm, Christian

AU - Feng, Jing

AU - He, Xiao

AU - Mai, Thai Son

AU - Plant, Claudia

AU - Shao, Junming

PY - 2011

Y1 - 2011

KW - Fiber Clustering

KW - Longest Common Subsequence

KW - Diffusion Tensor Imaging

U2 - 10.1145/2023582.2023584

DO - 10.1145/2023582.2023584

M3 - Conference contribution

SP - 1

EP - 9

BT - Proceedings of the 2011 workshop on Data mining for medicine and healthcare

ER -