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Official repo of a Medical Physics paper titled "CBCT-Based Synthetic CT Image Generation Using Conditional Denoising Diffusion Probabilistic Model"

active 2024-01-142026-03-03 (UTC)

Complete coverage26,560 / 26,560 hourly files (100%) · 2 absent upstream2023-08-152026-08-25 (UTC)
Events
97
Pushes
4
Pull requests
0
Issues
8
Stars
62
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 780 days from 2024-01-14 to 2026-03-03. Pushes: 4 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 8 total, peak 4 in a day. Comments: 19 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

ContributorContributionsPushesPRsComments
junbopeng17409
HIT-wwb3002
ALIKAOoO3002
QijingGJ2002
skyknights2002
ZhaKiNg1001
CyberHuman7771000
ouhaochen91000
qiangzhang6491001

Recent activity

Latest issues, pull requests and releases

  • Issue#3junbopeng2025-01-09 06:34
    Hello, excuse me, could you please provide us with your test.py?
  • Issue#1junbopeng2025-01-09 06:34
    The denoised image of the test is displayed in full black
  • Issue comment#4junbopeng2025-01-09 06:34
    Other files for the project
  • Issue#4junbopeng2025-01-09 06:34
    Other files for the project
  • Issue comment#3junbopeng2025-01-09 06:33
    Hello, excuse me, could you please provide us with your test.py?
  • Issue#2junbopeng2025-01-09 06:32
    Can't find GaussianDiffusionTrainer_cond in Diffusion_condition.py
  • Issue comment#1junbopeng2025-01-09 06:32
    The denoised image of the test is displayed in full black
  • Issue comment#1ZhaKiNg2024-08-27 10:00
    The denoised image of the test is displayed in full black
  • Issue comment#3qiangzhang6492024-07-14 01:37
    Hello, excuse me, could you please provide us with your test.py?
  • Issue#4ALIKAOoO2024-07-11 12:41
    Other files for the project
  • Issue comment#3HIT-wwb2024-06-04 06:53
    Hello, excuse me, could you please provide us with your test.py?
  • Issue comment#1HIT-wwb2024-06-04 06:29
    The denoised image of the test is displayed in full black
  • Issue#3HIT-wwb2024-05-13 01:04
    Hello, excuse me, could you please provide us with your test.py?
  • Issue comment#1skyknights2024-05-12 08:00
    The denoised image of the test is displayed in full black
  • Issue comment#1QijingGJ2024-05-12 07:56
    The denoised image of the test is displayed in full black
  • Issue comment#1skyknights2024-05-12 07:12
    The denoised image of the test is displayed in full black
  • Issue comment#1junbopeng2024-05-12 06:44
    The denoised image of the test is displayed in full black
  • Issue comment#2junbopeng2024-05-12 06:44
    Can't find GaussianDiffusionTrainer_cond in Diffusion_condition.py
  • Issue comment#2junbopeng2024-05-12 06:43
    Can't find GaussianDiffusionTrainer_cond in Diffusion_condition.py
  • Issue comment#1ALIKAOoO2024-05-12 04:58
    The denoised image of the test is displayed in full black
  • Issue#2CyberHuman7772024-05-11 09:23
    Can't find GaussianDiffusionTrainer_cond in Diffusion_condition.py
  • Issue comment#1junbopeng2024-05-11 05:05
    The denoised image of the test is displayed in full black
  • Issue comment#1QijingGJ2024-05-11 02:35
    The denoised image of the test is displayed in full black
  • Issue comment#1junbopeng2024-05-06 19:30
    The denoised image of the test is displayed in full black
  • Issue comment#1junbopeng2024-05-06 19:26
    The denoised image of the test is displayed in full black

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.