istn
importedsoftware/istn
Image-and-Spatial Transformer Networks
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- biomedia-mira
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/biomedia-mira/istn
- Documentation
- unknown
- Tags
- deep-learning · image-registration · medical-imaging · spatial-transformer-networks
- 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.
- deepaliimage-registration · medical-imaging · spatial-transformer-networks
Image, point set, and surface registration in PyTorch.
- Agentic-Smart-Healthimage-registration · 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…
- aladdin_cmr_laimage-registration · medical-imaging
Source code for Aladdin, a complete workflow for 3D MRI left atrium motion analysis
- BrainFMimage-registration · medical-imaging
A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging
- deformimage-registration · medical-imaging
Efficient dense deformable image registration
- Dicom-Image-Registration-Pythonimage-registration · medical-imaging
Dicom Image Registration Program in Python using a modified SimpleITK/SimpleElastix module compiled from source
- api.github.com/repos/biomedia-mira/istnretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-02-15, 112 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 →
/v1/entries/39.json→ .entries["istn"]
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