dt4co
importedsoftware/dt4co
Digital Twins for Computational Oncology
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/gtpash/dt4co
- Documentation
- unknown
- Tags
- digital-twin · digital-twins · finite-elements · inverse-problem · mri · mri-brain · oncology · oncology-data
- 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.
- Co-VeGANinverse-problem · mri
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
- PrismRefractiononcology · oncology-data
The governance-native Agent OS. Cryptographically sealed 10-Law security, tri-model cognitive orchestration, and secure full-stack computer use with immutable CAC accountability.
- SpinDoctor.jlfinite-elements · mri
Diffusion MRI Simulation Toolbox in Julia
- oncodatasets-pyoncology · oncology-data
The oncodatasets package provides a curated collection of oncological, clinical trial, and cancer survival datasets for data analysis, statistical modeling, and machine learning research.
- feelmrifinite-elements · mri
FEelMRI is an open-source, cross-platform library designed to generate synthetic MR images from FE simulations.
- zeffiro_interfacefinite-elements
Interface for using finite elements in inverse problems with complex domains
- api.github.com/repos/gtpash/dt4coretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-04-30, 9 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/61.json→ .entries["dt4co"]
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