nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
active 2023-08-16 → 2026-06-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1035 days from 2023-08-16 to 2026-06-15. Pushes: 16 total, peak 6 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 296 total, peak 49 in a day. Comments: 664 total, peak 52 in a day. Stars: 203 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| github-actions[bot] | 367 | 0 | 0 | 243 |
| mibaumgartner | 151 | 13 | 5 | 128 |
| andres2631996 | 61 | 2 | 1 | 56 |
| ArpanGyawali | 60 | 0 | 0 | 39 |
| partha-ghosh | 37 | 1 | 1 | 35 |
| Pri0805 | 18 | 0 | 0 | 8 |
| muuhuaC | 13 | 0 | 0 | 4 |
| dzeego | 13 | 0 | 0 | 6 |
| DSRajesh | 13 | 0 | 0 | 6 |
| GarryJAY502 | 11 | 0 | 0 | 4 |
| Rajesh-ParaxialTech | 11 | 0 | 0 | 6 |
| code8865 | 11 | 0 | 0 | 4 |
| gitlabfff | 11 | 0 | 0 | 5 |
| ztt0821 | 11 | 0 | 0 | 8 |
| Thibescobar | 10 | 0 | 0 | 8 |
| manellopez13 | 10 | 0 | 0 | 7 |
| giuliarubiu | 9 | 0 | 0 | 8 |
| laurenznagler | 7 | 0 | 0 | 6 |
| ClimberXIE | 7 | 0 | 0 | 5 |
| NataliaAlves13 | 7 | 0 | 0 | 2 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 203 stars here means stars gained during the window, not the repo's star count.