Skip to content

Pan-Tumor Radiology Foundation Model Utilizing Synthetic Training Data for Advanced Oncological Insights

Python · active 2025-01-282026-03-27 (UTC)

Complete coverage26,461 / 26,461 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
110
Pushes
29
Pull requests
1
Issues
9
Stars
57
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 424 days from 2025-01-28 to 2026-03-27. Pushes: 29 total, peak 6 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 9 total, peak 2 in a day. Comments: 10 total, peak 2 in a day. Stars: 57 total, peak 10 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

Recent activity

Latest issues, pull requests and releases

  • Issue#8LWHYC2026-03-27 02:35
    PASTA Fine-tuning for Esophageal Cancer Segmentation: Large Discrepancy between Pseudo/EMA Dice + Abnormal Predictions
  • Issue comment#8LWHYC2026-03-27 02:15
    PASTA Fine-tuning for Esophageal Cancer Segmentation: Large Discrepancy between Pseudo/EMA Dice + Abnormal Predictions
  • Issue comment#11LWHYC2026-03-27 01:30
    When finetuning from pretrained weights, use PASTATrainer or PASTATrainer_ft?
  • Issue comment#11sarvanichinthapalli2026-03-12 05:34
    When finetuning from pretrained weights, use PASTATrainer or PASTATrainer_ft?
  • Issue#11Kingofolk2026-02-05 02:07
    When finetuning from pretrained weights, use PASTATrainer or PASTATrainer_ft?
  • Issue#10Kingofolk2026-02-02 16:02
    Inference problem--TotalLesionTrainer_ft not found, and mismatch between weights from checkpoint and nnUNet
  • Issue#9Kingofolk2026-02-02 15:51
    Regarding inference with provided checkpoints--splits_final.json needed
  • Issue comment#2LWHYC2026-01-06 17:44
    About testing and prediction
  • Issue comment#2lorinczszabolcs2026-01-05 09:33
    About testing and prediction
  • Pull request#7yangboyan20262026-01-04 09:32
  • Issue comment#6LWHYC2025-10-30 00:00
    Mismatch in keys between default nnunet tainer and pasta_pretrained model
  • Issue comment#6sarvanichinthapalli2025-10-27 06:48
    Mismatch in keys between default nnunet tainer and pasta_pretrained model
  • Issue#3LWHYC2025-06-21 09:11
    Model inference pipeline
  • Issue comment#5LWHYC2025-05-26 14:23
    Normal data
  • Issue#4JixiangChen-Jimmy2025-05-05 16:33
    Dataprocessing pipeline in nnUNet
  • Issue comment#3surajpaib2025-03-05 22:24
    Model inference pipeline
  • Issue comment#3LWHYC2025-03-05 12:33
    Model inference pipeline
  • Issue#3surajpaib2025-03-03 19:42
    Model inference pipeline
  • Issue#2ChunTungZhuangLeo2025-02-21 20:00
    About testing and prediction
  • Issue#1ALEX136791733262025-02-13 12:20
    Nice Work !!

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 57 stars here means stars gained during the window, not the repo's star count.