openmedical/registry
← registry

xvr

imported

software/xvr

Training patient-specific 2D/3D registration models in 5 minutes

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

xvr project image
GitHub preview card for eigenvivek/xvr. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
2d-3d-registration · camera-pose-estimation · differentiable-rendering · medical-imaging
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.

  • DiffPose2d-3d-registration · camera-pose-estimation · differentiable-rendering · medical-imaging

    [CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering

  • DiffDRR2d-3d-registration · differentiable-rendering · medical-imaging

    Auto-differentiable digitally reconstructed radiographs in PyTorch

  • DermSynth3Ddifferentiable-rendering

    Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich…

  • Segmentation of prostate from MRI scans

  • The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.

  • ACC-UNetmedical-imaging

    ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets

sources
  1. api.github.com/repos/eigenvivek/xvr
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 73 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 →

machine-readable

/v1/entries/3.json→ .entries["xvr"]

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