SciNetX v1.0.0 is described in a publication in Bone Reports. This GitHub repository is the stable public record for the software and publication materials, while the current website is scinetx.com.
The paper repository is:
This is the intended home for the paper itself, software citation context, and example materials that accompany the publication.
David, M. A., Williams, K. G., Constantine, E. P., Matthias, J., Ferguson, V. L., & Adams, D. J. (2026). Demystifying Machine Learning Approaches in Digital Bone Imaging using MicroCT and HRpQCT. Bone Reports. DOI: https://doi.org/10.1016/j.bonr.2026.101911. RRID: SCR_028186.
Publication status: published in Bone Reports (not under review).
- Cite the publication above as the primary paper reference
- Include the SciNetX RRID:
RRID:SCR_028186 - Add the software citation when a software-specific reference is required
- Who SciNetX is for: who_its_for.md
- What SciNetX includes: what_you_get.md
- How it works: how_it_works.md
- Access: scinetx.com
- Paper repository: 2026-BoneRep-MLforBoneImaging
- Software citation details: cite.md, ../CITATION.cff
- Release details: ../RELEASE_NOTES_v1.0.0.md, ../CHANGELOG.md
For current press and publication contact information, use scinetx.com.
- Icon (PNG): docs/img/SciNetX_logo_icon_only_square_1024.png
- Wordmark (PNG): docs/img/SciNetX_logo_wordmark_below_square_1024.png
- Icon (SVG): docs/img/SciNetX_logo_icon_only_square.svg
- Wordmark (SVG): docs/img/SciNetX_logo_wordmark_below_square.svg
Use only approved public materials for papers, talks, websites, and press coverage.