Evaluation of deep learning-based surface reconstruction and tracking of surgical scenes for minimally invasive intervention
- DOI
- 10.1117/12.3086207
- Published
- 2026-04-01
- Container
- Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling
- Publisher
- SPIE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1117/12.3086207,
title = {Evaluation of deep learning-based surface reconstruction and tracking of surgical scenes for minimally invasive intervention},
author = {Nati Nawawithan and James Yu and Kelden Pruitt and Uy Seng and Baowei Fei},
year = {2026},
journal = {Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling},
doi = {10.1117/12.3086207},
url = {https://doi.org/10.1117/12.3086207}
}RIS
TY - JOUR TI - Evaluation of deep learning-based surface reconstruction and tracking of surgical scenes for minimally invasive intervention AU - Nati Nawawithan AU - James Yu AU - Kelden Pruitt AU - Uy Seng AU - Baowei Fei PY - 2026 JO - Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling DO - 10.1117/12.3086207 UR - https://doi.org/10.1117/12.3086207 ER -
APA
Nawawithan, N., Yu, J., Pruitt, K., Seng, U., & Fei, B. (2026). Evaluation of deep learning-based surface reconstruction and tracking of surgical scenes for minimally invasive intervention. Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling. https://doi.org/10.1117/12.3086207
Source records
- crossref · retrieved 2026-11-04T19:11:42.981Z