Automated Author ProfileKjer, Hans Martin
Technical University of Denmark
Kjer, Hans Martin
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 2.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data for CVPR 2020 paper Sparse Layered Graphs for Multi-Object Segmentation.
Related notebooks can be found here:
http://doi.org/10.11583/DTU.12016941
data.zipContains images used in the notebooks and paper experiments.
NT32_tomo3_.raw
This is a micro-CT scan of hand nerves used in the paper. The volume is 2048x2048x2048 uint16.
NT32_cLineLabel_scale4_preSegm_v3.nii.gz
This is a segmentation of the center lines of 216 nerves in the NT32 scan. The segmentation is made at four times lower resolution than NT32_tomo3_.raw and has a size of 512x512x512.
The NT32 dataset was previously used in the paper Three-dimensional architecture of human diabetic peripheral nerves revealed by X-ray phase contrast holographic nanotomography.
Authors
- Jeppesen, Niels ;
- Christensen, Anders Nymark ;
- Dahl, Vedrana Andersen ;
- Dahl, Anders Bjorholm ;
- Kjer, Hans Martin ;
- Bech, Martin ;
- Dahlin, Lars
Data for CVPR 2020 paper Sparse Layered Graphs for Multi-Object Segmentation.
Related notebooks can be found here:
http://doi.org/10.11583/DTU.12016941
data.zipContains images used in the notebooks and paper experiments.
NT32_tomo3_.raw
This is a micro-CT scan of hand nerves used in the paper. The volume is 2048x2048x2048 uint16.
NT32_cLineLabel_scale4_preSegm_v3.nii.gz
This is a segmentation of the center lines of 216 nerves in the NT32 scan. The segmentation is made at four times lower resolution than NT32_tomo3_.raw and has a size of 512x512x512.
The NT32 dataset was previously used in the paper Three-dimensional architecture of human diabetic peripheral nerves revealed by X-ray phase contrast holographic nanotomography.
Authors
- Jeppesen, Niels ;
- Christensen, Anders Nymark ;
- Dahl, Vedrana Andersen ;
- Dahl, Anders Bjorholm ;
- Kjer, Hans Martin ;
- Bech, Martin ;
- Dahlin, Lars