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Swin-UNETR PET

active 2023-08-152026-05-21 (UTC)

Complete coverage26,486 / 26,486 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
1.2K
Pushes
81
Pull requests
126
Issues
73
Stars
413
Forks
99

Activity over time

Daily event counts in the loaded window

Line chart, 1011 days from 2023-08-15 to 2026-05-21. Pushes: 81 total, peak 14 in a day. Pull requests: 126 total, peak 6 in a day. Issues: 73 total, peak 3 in a day. Comments: 223 total, peak 13 in a day. Stars: 413 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

ContributorContributionsPushesPRsComments
wyli6830249
KumoLiu64122611
dongyang01226431225
drbeh328114
ericspod318711
mingxin-zheng29558
jtetrea20386
monai-bot166100
myron15037
Eight3H15008
coderabbitai[bot]11003
review-notebook-app[bot]100010
Luffy037007
pre-commit-ci[bot]6510
YUXIN-commit6005
Mgithus6004
dependabot[bot]6060
Nic-Ma6004
upchen015005
wangbaoyuanGUET5004

Recent activity

Latest issues, pull requests and releases

  • Issue#425kingofstu2025-11-24 06:55
    Do I need to preprocess the BTCV dataset?
  • Issue comment#348coderabbitai[bot]2025-10-06 22:41
    [pre-commit.ci] pre-commit suggestions
  • Issue comment#162dilekkozkan2025-09-28 10:42
    Preprocessing of dataset for Self-Supervised Pre-Training of Swin Transformers
  • Issue#422Tkrismile2025-09-25 03:36
    Five-fold cross-validation for the UNET model
  • Issue#421StevenChen162025-09-23 14:01
    UNETR implementation incompatible with MONAI >= 1.3.0 due to deprecated pos_embed parameter
  • Issue comment#95listenw12025-09-23 12:54
    SwinUNETR on BraTS 2020 T1c scans only
  • Issue#419tylin71110950222025-09-02 06:11
    Misalignment between the prediction and the Ground Truth
  • Issue comment#419tylin71110950222025-09-02 05:54
    Misalignment between the prediction and the Ground Truth
  • Issue comment#73verse-armour2025-08-12 07:41
    Can you share the loss curve of the Swin-UNETR pre-training process
  • Issue#400jtetrea2025-07-24 15:39
    Prostate MRI - Inaccessible Docker Image
  • Issue#351jtetrea2025-07-24 15:39
    Invalid organ segmentation nii file produced from prostate_mri_lesion_seg_app
  • Issue comment#418review-notebook-app[bot]2025-06-11 05:05
    Add SwinUNETR notebook and utilities for BraTS 2024
  • Pull request#418sarunsarun2025-06-11 05:05
  • Issue#417EmanShowkatian2025-05-12 17:43
    swin_unetr attention visualization
  • Issue comment#302ASCI022025-05-11 01:57
    How should I reproduce the training process of Swin UNETR on BTCV so that it can achieve the mean dice score recorded in the paper?
  • Pull request#416KumoLiu2025-05-09 10:42
  • Pull request#416KumoLiu2025-05-09 08:05
  • Issue comment#302litleWY2025-05-08 05:38
    How should I reproduce the training process of Swin UNETR on BTCV so that it can achieve the mean dice score recorded in the paper?
  • Issue comment#318ADMakawana2025-04-22 19:50
    UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation
  • Issue comment#79mzsi032025-04-16 08:43
    Pretrained model on BTCV doesn't reproduce the mean dice score
  • Issue comment#304sekioo2025-04-03 09:05
    While fine tuning the Swin UNETR, Training loss is not decreasing and training gets crashed after 10 epohs
  • Pull request#414KumoLiu2025-03-31 10:41
  • Issue comment#414KumoLiu2025-03-31 10:41
    Update train.py
  • Issue#415sekioo2025-03-24 12:06
    MICCAI 2018 BraTS Challenge
  • Pull request#414YuEnoch2025-03-23 03:44

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 413 stars here means stars gained during the window, not the repo's star count.