openmedical/registry
← registry

UltraGS

imported

software/ultrags

UltraGS: Real-Time Physically-Decoupled Gaussian Splatting for Ultrasound Novel View Synthesis

Machine-generated from the listed sources and not yet reviewed by a human.

UltraGS project image
GitHub preview card for Bean-Young/UltraGS. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
gaussian-splatting · novel-view-synthesis · ultrasound
Regulatory
unknown
built by · 1

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • Agentic-Smart-Healthgaussian-splatting

    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…

  • endosurfnovel-view-synthesis

    "Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos" (MICCAI 2023 Oral)

  • Python program to convert slices of 2D images to 3D structure

  • 3D Volume Reconstruction of Raw Ultrasound Radiofrequency Data

  • AI-TI-RADSultrasound

    AI TI-RADS system optimized using genetic algorithm

  • apecssultrasound

    APECSS is a software toolbox to compute pressure-driven bubble dynamics and the resulting acoustic emissions.

sources
  1. api.github.com/repos/Bean-Young/UltraGS
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-28, 12 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/63.json→ .entries["ultrags"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.