https://github.com/bmcv/ritter2024-syntheticdata
Science Score: 39.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.7%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: BMCV
- License: cc0-1.0
- Default Branch: main
- Size: 2.8 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Archived
Created almost 3 years ago
· Last pushed 11 months ago
Metadata Files
Readme
License
README.md
This repo contains data for the following publication:
Ritter C, Lee JY, Pham MT, Pabba MK, Cardoso MC, Bartenschlager R, and Rohr K. (2024) Multi-Detector Fusion and Bayesian Smoothing for Tracking Viral and Chromatin Structures, Medical Image Analysis 97, 103227
https://doi.org/10.1016/j.media.2024.103227
Owner
- Name: BMCV
- Login: BMCV
- Kind: organization
- Location: Heidelberg, Germany
- Website: http://www.bioquant.uni-heidelberg.de/no_cache/research/groups/biomedical-computer-vision
- Repositories: 14
- Profile: https://github.com/BMCV
Biomedical Computer Vision Group