frd-score
importedsoftware/frd-score
Official implementation of the Fréchet Radiomic Distance
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- richardobi.github.io/frd/
- Repository
- github.com/RichardObi/frd-score
- Documentation
- unknown
- Tags
- biomarkers · computer-vision · distribution-shift · evaluation · evaluation-metrics · feature-extraction · fidelity · generative-model
- 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.
- xand-raycomputer-vision · distribution-shift
Chest X-ray screening research with explicit distribution shift evaluation, per-disease binary models and validated Grad-CAM localization.
- mama-synthevaluation-metrics
MAMA-SYNTH Challenge @MICCAI 2026 and Deep-Breath 2026.
- hiwenetbiomarkers · feature-extraction
Histogram-weighted Networks for Connectivity & Advanced Analysis in Neuroscience
- quickNAT_pytorchbiomarkers · computer-vision
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
- scDFMdistribution-shift
scDFM: Distributional Flow Matching for Robust Single-Cell Perturbation Prediction (ICLR 2026)
- causal-gencomputer-vision · generative-model
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
- api.github.com/repos/RichardObi/frd-scoreretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-02-26, 35 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/52.json→ .entries["frd-score"]
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