RRepoGEO

REPOGEO REPORT · LITE

zhaozh10/Awesome-CLIP-in-Medical-Imaging

Default branch master · commit 822a9e97 · scanned 6/5/2026, 3:23:17 PM

GitHub: 512 stars · 31 forks

AI VISIBILITY SCORE
15 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface zhaozh10/Awesome-CLIP-in-Medical-Imaging, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add an explicit introductory sentence to the README

    Why:

    CURRENT
    - Our paper has been accepted by Medical Image Analysis: CLIP in medical imaging: A survey
    COPY-PASTE FIX
    This repository serves as a comprehensive curated list and survey of research papers, datasets, and resources on the application of CLIP (Contrastive Language-Image Pre-training) in medical imaging.

- Our paper has been accepted by Medical Image Analysis: CLIP in medical imaging: A survey
  • mediumhomepage#2
    Add the paper's URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://doi.org/10.1016/j.media.2025.103551

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface zhaozh10/Awesome-CLIP-in-Medical-Imaging
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MedCLIP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MedCLIP · recommended 2×
  2. OpenCLIP / CLIP · recommended 1×
  3. ConVIRT · recommended 1×
  4. GLoRIA · recommended 1×
  5. BioCLIP · recommended 1×
  • CATEGORY QUERY
    How can I apply contrastive language-image pre-training models to medical image analysis?
    you: not recommended
    AI recommended (in order):
    1. OpenCLIP / CLIP
    2. MedCLIP
    3. ConVIRT
    4. GLoRIA
    5. BioCLIP
    6. PLIP

    AI recommended 6 alternatives but never named zhaozh10/Awesome-CLIP-in-Medical-Imaging. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the current advancements and techniques for using CLIP in healthcare imaging tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP
    2. Hugging Face Transformers
    3. MedCLIP
    4. MONAI Label
    5. Faiss
    6. scikit-learn
    7. PyTorch Metric Learning
    8. Segment Anything Model (SAM)
    9. MONAI

    AI recommended 9 alternatives but never named zhaozh10/Awesome-CLIP-in-Medical-Imaging. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of zhaozh10/Awesome-CLIP-in-Medical-Imaging?
    pass
    AI did not name zhaozh10/Awesome-CLIP-in-Medical-Imaging — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts zhaozh10/Awesome-CLIP-in-Medical-Imaging in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name zhaozh10/Awesome-CLIP-in-Medical-Imaging — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo zhaozh10/Awesome-CLIP-in-Medical-Imaging solve, and who is the primary audience?
    pass
    AI did not name zhaozh10/Awesome-CLIP-in-Medical-Imaging — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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zhaozh10/Awesome-CLIP-in-Medical-Imaging — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
zhaozh10/Awesome-CLIP-in-Medical-Imaging — RepoGEO report