Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
active 2023-09-06 → 2026-05-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 981 days from 2023-09-06 to 2026-05-13. Pushes: 15 total, peak 4 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 44 total, peak 2 in a day. Comments: 55 total, peak 7 in a day. Stars: 62 total, peak 3 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 |
|---|---|---|---|---|
| constantinulrich | 55 | 15 | 0 | 31 |
| Awayah | 8 | 0 | 0 | 4 |
| plbenveniste | 7 | 0 | 0 | 3 |
| valti01 | 6 | 0 | 0 | 1 |
| jaykshirsagar05 | 5 | 0 | 1 | 2 |
| fzehrauslu | 5 | 0 | 0 | 3 |
| Areeb2735 | 4 | 0 | 0 | 2 |
| AwayahShahid | 4 | 0 | 0 | 2 |
| ibro45 | 3 | 0 | 0 | 1 |
| Luffy03 | 3 | 0 | 0 | 1 |
| ZhangxinruBIT | 3 | 0 | 0 | 1 |
| Younger330 | 3 | 0 | 0 | 1 |
| Astarakee | 2 | 0 | 0 | 1 |
| joelive | 1 | 0 | 0 | 0 |
| rfloca | 1 | 0 | 0 | 1 |
| edomerli | 1 | 0 | 0 | 0 |
| Kirscher | 1 | 0 | 0 | 0 |
| more-karameli | 1 | 0 | 0 | 1 |
| LiangDazhu | 1 | 0 | 0 | 0 |
| babbu3682 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#26edomerli2026-05-13 13:39Question regarding normalization
- Issue#25valti012025-11-17 16:01automatic splitting into two datasets, unable to inference
- Issue comment#25valti012025-10-08 16:00automatic splitting into two datasets, unable to inference
- Issue comment#25constantinulrich2025-10-08 14:35automatic splitting into two datasets, unable to inference
- Issue#14constantinulrich2025-08-13 09:14RuntimeError: ITK only supports orthonormal direction cosines
- Issue#22constantinulrich2025-08-13 09:14Looking for a Label Dictionary for MultiTalent CT Segmentations
- Issue#23jaykshirsagar052025-08-12 02:58Training Error: Custom Dataset, num_classes is a 'dict' instead of 'int'
- Pull request#24jaykshirsagar052025-08-12 02:54
- Issue comment#23jaykshirsagar052025-08-11 22:08Training Error: Custom Dataset, num_classes is a 'dict' instead of 'int'
- Issue comment#23jaykshirsagar052025-08-11 18:21Training Error: Custom Dataset, num_classes is a 'dict' instead of 'int'
- Issue#23jaykshirsagar052025-08-10 18:13Training Error: Custom Dataset, num_classes is a 'dict' instead of 'int'
- Issue#22babbu36822025-07-01 12:21Looking for a Label Dictionary for MultiTalent CT Segmentations
- Issue#21constantinulrich2025-06-26 11:23num of classes is not defined
- Issue#20constantinulrich2025-06-26 11:22input channel variation across datasets
- Issue comment#20constantinulrich2025-06-25 08:48input channel variation across datasets
- Issue comment#21constantinulrich2025-06-24 09:57num of classes is not defined
- Issue comment#20fzehrauslu2025-06-24 09:40input channel variation across datasets
- Issue comment#21fzehrauslu2025-06-24 09:30num of classes is not defined
- Issue comment#19plbenveniste2025-06-23 15:54Issue with finetuning multistem model
- Issue comment#19constantinulrich2025-06-23 14:10Issue with finetuning multistem model
- Issue comment#20constantinulrich2025-06-23 12:13input channel variation across datasets
- Issue comment#19constantinulrich2025-06-23 12:10Issue with finetuning multistem model
- Issue#20fzehrauslu2025-06-23 11:32input channel variation across datasets
- Issue#19plbenveniste2025-06-20 16:54Issue with finetuning multistem model
- Issue#17valti012025-05-13 11:31Is inference supported for multi-dataset models?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 62 stars here means stars gained during the window, not the repo's star count.