Automated Organization Profileradiomics.bio
radiomics.bio
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains test data associated with the publication "Automated quantification of lung pathology on micro-CT in diverse disease models using deep learning". It includes three different datasets of micro-CT scans derived from preclinical experiments involving a COVID mouse model (COVID), bleomycin-induced lung fibrosis mouse model (BLEO), and a monocrotaline-induced pulmonary hypertension rat model (RAT). Manual lung segmentation masks are provided for all micro-CT scans.
Authors
- Belmans, Flore ;
- Seldeslechts, Laura ;
- Vanhoffelen, Eliane ;
- Tielemans, Birger ;
- Vos, Wim ;
- Maes, Frederik ;
- Vande Velde, Greetje