rf-ulm
importeddata/rf-ulm
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/hahnec/rf-ulm
- Documentation
- unknown
- Tags
- ceus · contrast-enhancement · dataset · deep-learning · imaging · localization · medical · medical-imaging
- 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.
- Xono2Limaging · medical · medical-imaging
LabVIEW-compatible, extensible C++ API for capturing live ultrasound streams
- BCCD_Datasetdataset · medical-imaging
BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.
- dataset-uta4-dicomdataset · medical-imaging
[AVI 2020] UTA4: Medical Imaging DICOM files dataset.
- MultiCaRe_Datasetdataset · medical-imaging
Open-source multimodal dataset: 98K+ clinical cases & 139K+ medical images from PubMed Central
- Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Netdataset · medical-imaging
The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning method with U-Net Model and binary image analysis in order to provide diagnostic…
- boluscalculatorlocalization
An Insulin Bolus Calculator (HTML5 App)
- api.github.com/repos/hahnec/rf-ulmretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-09-05, 38 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/40.json→ .entries["rf-ulm"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.