FLex: joint pose and dynamic radiance fields optimization for stereo endoscopic videos
Our proposed approach overcomes key limitations of existing methods by enabling accurate reconstruction and camera pose estimation for moving stereo endoscopes in challenging surgical scenes. FLex's advancements enhance the applicability of neural rendering techniques for medical applications, paving the way for improved surgical scene understanding. Code and data will be released on the project page: https://flexendo.github.io/.
Authors
- Nassir Navab (ORCID: https://orcid.org/0000-0002-6032-5611)
- Felix Tristram
- Benjamin Busam (ORCID: https://orcid.org/0000-0002-0620-5774)
- Mert Asim Karaoglu (ORCID: https://orcid.org/0009-0008-3479-7632)
- Alexander Ladikos
- Florian Philipp Stilz
Institutions
- GAF AG (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-07-21
- DOI
- https://doi.org/10.1007/s11548-025-03446-6
- Citations
- 1
- Primary Topic
- Advanced Vision and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.28
Funders
- Technische Universität München