Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency.
- DOI
- 10.1117/12.3086626
- Published
- 2026-04-03
- Container
- Proc SPIE Int Soc Opt Eng
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1117/12.3086626,
title = {Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency.},
author = {Li H and Lu D and d'Almeida J and Isik D and Aghdam EK and DiSanto N and Acar A and Sharma S and Wu JY and Webster RJ and Oguz I.},
year = {2026},
journal = {Proc SPIE Int Soc Opt Eng},
doi = {10.1117/12.3086626},
url = {https://doi.org/10.1117/12.3086626}
}RIS
TY - JOUR TI - Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency. AU - Li H AU - Lu D AU - d'Almeida J AU - Isik D AU - Aghdam EK AU - DiSanto N AU - Acar A AU - Sharma S AU - Wu JY AU - Webster RJ AU - Oguz I. PY - 2026 JO - Proc SPIE Int Soc Opt Eng DO - 10.1117/12.3086626 UR - https://doi.org/10.1117/12.3086626 ER -
APA
H, L., D, L., J, D., D, I., EK, A., N, D., A, A., S, S., JY, W., RJ, W., & I., O. (2026). Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency.. Proc SPIE Int Soc Opt Eng. https://doi.org/10.1117/12.3086626
Source records
- europe-pmc · retrieved 2026-09-25T05:18:51.768Z