Modeling human observer performance with neural network observers in a forced localization task using undersampled MRI images.
- DOI
- 10.1117/12.3084847
- Published
- 2026
- Container
- Proceedings of SPIE--the International Society for Optical Engineering
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1117/12.3084847,
title = {Modeling human observer performance with neural network observers in a forced localization task using undersampled MRI images.},
author = {Amaglobeli S and Prasad JP and Abbey CK and Pineda AR},
year = {2026},
journal = {Proceedings of SPIE--the International Society for Optical Engineering},
doi = {10.1117/12.3084847},
url = {https://doi.org/10.1117/12.3084847}
}RIS
TY - JOUR TI - Modeling human observer performance with neural network observers in a forced localization task using undersampled MRI images. AU - Amaglobeli S AU - Prasad JP AU - Abbey CK AU - Pineda AR PY - 2026 JO - Proceedings of SPIE--the International Society for Optical Engineering DO - 10.1117/12.3084847 UR - https://doi.org/10.1117/12.3084847 ER -
APA
S, A., JP, P., CK, A., & AR, P. (2026). Modeling human observer performance with neural network observers in a forced localization task using undersampled MRI images.. Proceedings of SPIE--the International Society for Optical Engineering. https://doi.org/10.1117/12.3084847
Source records
- pubmed · retrieved 2026-09-25T02:53:32.296Z