RRepoGEO

REPOGEO REPORT · LITE

Amshaker/unetr_plus_plus

Default branch main · commit dcba1c6e · scanned 6/6/2026, 9:22:40 AM

GitHub: 529 stars · 59 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Amshaker/unetr_plus_plus, 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
  • highhomepage#1
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://amshaker.github.io/unetr_plus_plus/
  • mediumreadme#2
    Add a concise introductory sentence to the README

    Why:

    CURRENT
    # UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

Abdelrahman Shaker<sup>*1</sup>, Muhammad Maaz<sup>1</sup>, Hanoona Rasheed<sup>1</sup>, Salman Khan<sup>1</sup>, Ming-Hsuan Yang<sup>2,3</sup> and Fahad Shahbaz Khan<sup>1,4</sup>
    COPY-PASTE FIX
    # UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

This repository provides the official implementation of UNETR++, an enhanced deep learning model for efficient and accurate 3D medical image segmentation.

Abdelrahman Shaker<sup>*1</sup>, Muhammad Maaz<sup>1</sup>, Hanoona Rasheed<sup>1</sup>, Salman Khan<sup>1</sup>, Ming-Hsuan Yang<sup>2,3</sup> and Fahad Shahbaz Khan<sup>1,4</sup>

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 Amshaker/unetr_plus_plus
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
nnU-Net
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. nnU-Net · recommended 2×
  2. V-Net · recommended 2×
  3. Swin UNETR · recommended 2×
  4. MONAI · recommended 1×
  5. UNETR · recommended 1×
  • CATEGORY QUERY
    Seeking an efficient and accurate deep learning model for 3D medical image segmentation tasks.
    you: not recommended
    AI recommended (in order):
    1. nnU-Net
    2. MONAI
    3. V-Net
    4. UNETR
    5. Swin UNETR
    6. DeepLabV3+

    AI recommended 6 alternatives but never named Amshaker/unetr_plus_plus. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best deep learning architectures for segmenting medical 3D scans efficiently?
    you: not recommended
    AI recommended (in order):
    1. nnU-Net
    2. UNETR (UNET Transformers)
    3. Swin UNETR
    4. V-Net
    5. 3D U-Net
    6. MONAI (Medical Open Network for AI) Framework

    AI recommended 6 alternatives but never named Amshaker/unetr_plus_plus. 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 Amshaker/unetr_plus_plus?
    pass
    AI did not name Amshaker/unetr_plus_plus — 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 Amshaker/unetr_plus_plus in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Amshaker/unetr_plus_plus explicitly

    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 Amshaker/unetr_plus_plus solve, and who is the primary audience?
    pass
    AI did not name Amshaker/unetr_plus_plus — 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

Drop this badge into the README of Amshaker/unetr_plus_plus. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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Amshaker/unetr_plus_plus — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite