endosurf
importedsoftware/endosurf
"Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos" (MICCAI 2023 Oral)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- arxiv.org/abs/2307.11307
- Repository
- github.com/Ruyi-Zha/endosurf
- Documentation
- unknown
- Tags
- 3d-reconstruction · endoscope · medical-imaging · neural-radiance-fields · novel-view-synthesis
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- naf_cbct3d-reconstruction · medical-imaging · neural-radiance-fields
"Neural Attenuation Fields for Sparse-View CBCT Reconstruction" (MICCAI 2022 Oral)
- UltraGSnovel-view-synthesis
UltraGS: Real-Time Physically-Decoupled Gaussian Splatting for Ultrasound Novel View Synthesis
- Agentic-Smart-Health3d-reconstruction · medical-imaging
Multi-agent system that unifies heterogeneous dental data (CBCT, STL, clinical reports, photos) into a patient Digital Twin built on Gaussian Splatting, with per-region clinical attributes and…
- Dicom-Viewer3d-reconstruction · medical-imaging
An application displaying 2D/3D Dicom
- DiffDRR3d-reconstruction · medical-imaging
Auto-differentiable digitally reconstructed radiographs in PyTorch
- NeSVoR3d-reconstruction · medical-imaging
NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.
- api.github.com/repos/Ruyi-Zha/endosurfretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2023-11-07, 68 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/63.json→ .entries["endosurf"]
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