Deep consistency-preserving hash auto-encoders for neuroimage cross-modal retrieval.

Wang X, Zeng X

Open source

DOI
10.1038/s41598-023-29320-6
Published
2023 Feb 9
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 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:10.1038/s41598-023-29320-6,
  title = {Deep consistency-preserving hash auto-encoders for neuroimage cross-modal retrieval.},
  author = {Wang X and Zeng X},
  year = {2023},
  journal = {Scientific reports},
  doi = {10.1038/s41598-023-29320-6},
  url = {https://doi.org/10.1038/s41598-023-29320-6}
}

RIS

TY  - JOUR
TI  - Deep consistency-preserving hash auto-encoders for neuroimage cross-modal retrieval.
AU  - Wang X
AU  - Zeng X
PY  - 2023
JO  - Scientific reports
DO  - 10.1038/s41598-023-29320-6
UR  - https://doi.org/10.1038/s41598-023-29320-6
ER  - 

APA

X, W., & X, Z. (2023). Deep consistency-preserving hash auto-encoders for neuroimage cross-modal retrieval.. Scientific reports. https://doi.org/10.1038/s41598-023-29320-6

Source records