Machine-learning classification of 22q11.2 deletion syndrome: a diffusion tensor imaging study

Tylee, Daniel S, Kikinis, Zora, Quinn, Thomas P, Antshel, Kevin M, Fremont, Wanda, Tahir, Muhammad A, Zhu, Anni, Gong, Xue, Glatt, Stephen J, Coman, Ioana L, Shenton, Martha E, Kates, Wendy R and Makris, Nikos 2017, Machine-learning classification of 22q11.2 deletion syndrome: a diffusion tensor imaging study, Neuroimage: clinical, vol. 15, pp. 832-842, doi: 10.1016/j.nicl.2017.04.029.

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Title Machine-learning classification of 22q11.2 deletion syndrome: a diffusion tensor imaging study
Author(s) Tylee, Daniel S
Kikinis, Zora
Quinn, Thomas P
Antshel, Kevin M
Fremont, Wanda
Tahir, Muhammad A
Zhu, Anni
Gong, Xue
Glatt, Stephen J
Coman, Ioana L
Shenton, Martha E
Kates, Wendy R
Makris, Nikos
Journal name Neuroimage: clinical
Volume number 15
Start page 832
End page 842
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017
ISSN 2213-1582
Keyword(s) 22q11.2 deletion syndrome
velocardiofacial syndrome
diffusion tensor imaging
white matter query language
machine-learning
support vector machine
inferior longitudinal fasciculus
middle longitudinal fascicle
extreme capsule
callosal asymmetry
Language eng
DOI 10.1016/j.nicl.2017.04.029
Field of Research 110399 Clinical Sciences not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109422

Document type: Journal Article
Collection: School of Medicine
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