Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder.

Zhao F, Qiao L, Shi F, Yap PT, Shen D

Open source

DOI
10.1007/s11682-016-9587-5
Published
2017 Aug
Container
Brain imaging and behavior
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s11682-016-9587-5,
  title = {Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder.},
  author = {Zhao F and Qiao L and Shi F and Yap PT and Shen D},
  year = {2017},
  journal = {Brain imaging and behavior},
  doi = {10.1007/s11682-016-9587-5},
  url = {https://doi.org/10.1007/s11682-016-9587-5}
}

RIS

TY  - JOUR
TI  - Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder.
AU  - Zhao F
AU  - Qiao L
AU  - Shi F
AU  - Yap PT
AU  - Shen D
PY  - 2017
JO  - Brain imaging and behavior
DO  - 10.1007/s11682-016-9587-5
UR  - https://doi.org/10.1007/s11682-016-9587-5
ER  - 

APA

F, Z., L, Q., F, S., PT, Y., & D, S. (2017). Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder.. Brain imaging and behavior. https://doi.org/10.1007/s11682-016-9587-5

Source records