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Agent skill

Ieee Transactions On Medical Imaging

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when targeting IEEE Transactions on Medical Imaging (TMI) or deciding whether a medical-imaging methods manuscript fits this venue.

MITAuto-check passedResearch & Science

Install Ieee Transactions On Medical Imaging

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieee-transactions-on-medical-imaging -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ieee-transactions-on-medical-imaging --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Engineering-Technology-Journal-Skills/skills/ieee-transactions-on-medical-imaging .claude/skills/ieee-transactions-on-medical-imaging && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ieee-transactions-on-medical-imaging
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
773 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting IEEE Transactions on Medical Imaging (TMI) or deciding whether a medical-imaging methods manuscript fits this venue.

  • Targeting IEEE Transactions on Medical Imaging (TMI)
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether a medical-imaging methods manuscript fits this venue

What it does

Ieee Transactions On Medical Imaging is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting IEEE Transactions on Medical Imaging (TMI) or deciding whether a medical-imaging methods manuscript fits this venue. Encodes the journal's fit, the imaging-specific-method-with-proper-validation bar, dataset and evaluation rigor, house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Clinical and healthcare research. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Targeting IEEE Transactions on Medical Imaging (TMI)
  • Deciding whether a medical-imaging methods manuscript fits this venue

Example prompts

  • “/ieee-transactions-on-medical-imaging”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ieee Transactions On Medical Imaging loads about 1.9k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 773 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 773 words, ~1,920 tokens.

Download SKILL.mdSave it as .claude/skills/ieee-transactions-on-medical-imaging/SKILL.md (or your agent's skills folder).
name
ieee-transactions-on-medical-imaging
description
Use when targeting IEEE Transactions on Medical Imaging (TMI) or deciding whether a medical-imaging methods manuscript fits this venue. Encodes the journal's fit, the imaging-specific-method-with-proper-validation bar, dataset and evaluation rigor, house style, official-submission re-check, and desk-reject heuristics.

IEEE Transactions on Medical Imaging (ieee-transactions-on-medical-imaging)

Journal positioning

IEEE Transactions on Medical Imaging (TMI), published jointly by several IEEE societies, is a flagship archival venue for methods in medical image formation, reconstruction, and analysis across modalities (MRI, CT, PET/SPECT, ultrasound, optical, and microscopy), including registration, segmentation, quantification, and machine learning for medical imaging. The defining expectation is a method whose contribution is specific to medical imaging and validated with appropriate data and proper technical and, where relevant, clinical evaluation — not a generic computer-vision method run on a medical dataset as an afterthought. Papers without medical-imaging specificity, or evaluated on tiny/unrepresentative data without rigorous protocol, are a poor fit. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official author information. Before submitting, re-check the live IEEE TMI author guidance and submission system.

When to trigger

  • The author names TMI for an image reconstruction, registration, segmentation, or imaging-ML manuscript and wants a fit/framing check.
  • A method must be re-framed so the medical-imaging-specific contribution — the physics, the modality, or the clinical task — is central, not a generic CV result.
  • The author is unsure whether the contribution belongs in TMI (imaging methods) or a broader biomedical/translation venue.
  • The author needs TMI's dataset-and-validation bar and desk-reject heuristics.

Scope & topic fit

  • Image formation and reconstruction: inverse problems and model-based or learning-based reconstruction for MRI, CT, PET/SPECT, ultrasound, and optical imaging.
  • Image analysis: segmentation, registration, detection, and quantification with a medical-imaging-specific methodological advance.
  • Machine learning for medical imaging when the method addresses imaging-specific challenges (modality physics, limited/heterogeneous labels, domain shift, artifacts).
  • Quantitative imaging, biomarker extraction, and motion/artifact correction tied to a defined imaging or clinical task.
  • Imaging-system and acquisition methods (sampling, hardware-aware reconstruction) evaluated on realistic or measured data.
  • Computational/physics models of image formation validated against acquired data.

Method & evidence bar

  • The contribution must be imaging-specific: exploit modality physics, acquisition model, or clinical task; a generic network applied to images does not clear the bar.
  • Validation must use appropriate datasets with adequate size and diversity; report data source, acquisition, ground-truth/reference standard, and any patient/ethics provenance.
  • Evaluation must use task-appropriate metrics with statistics: reconstruction fidelity, segmentation overlap/boundary error, registration accuracy, detection performance — with confidence intervals or significance where claimed.
  • Compare against the right baselines (established imaging methods, not only one CV model), with matched preprocessing and fair tuning; ablate key components.
  • Address generalization and robustness: cross-site/scanner/protocol variation, out-of-distribution behavior, and failure modes relevant to clinical use.
  • Reproducibility: enough detail (and ideally code and data access per policy) to reproduce the reported results.
Show full SKILL.md (352 more words)Show less

Structure & house style

  • IEEE double-column format; TMI publishes full-length Papers — match the contribution to that archival scope and re-check current article types and length policy on the live guide.
  • The introduction motivates the imaging/clinical gap and the methodological need, then states the contribution; avoid framing it as a generic-CV improvement.
  • Figures are load-bearing: example images with the relevant overlays, quantitative comparison plots, and failure cases; include clinically meaningful visualizations.
  • The methods section must specify the imaging model, data, and evaluation protocol precisely enough to reproduce.
  • A results section with quantitative tables across datasets and baselines is central.

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the IEEE Author Center anchors, then cite the current TMI-specific page you checked.
  • Search the live site for "IEEE Transactions on Medical Imaging information for authors" and follow the current ScholarOne/IEEE version.
  • Re-check article types, page/length limits and overlength policy, and the IEEE double-column template.
  • Confirm data/code-availability, human-subjects/ethics/IRB, and any de-identification and reporting requirements.
  • Re-check ORCID, competing-interests, funding, author-contribution, and AI-use disclosure requirements, and IEEE open-access options.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • The contribution is medical-imaging-specific (physics/modality/clinical task), not a generic CV method on medical data.
  • Validation uses appropriate, adequately sized and diverse datasets with documented reference standards.
  • Metrics are task-appropriate and reported with statistics; baselines are the right imaging methods.
  • Generalization across site/scanner/protocol and failure modes are addressed.
  • Ethics/IRB and data provenance/de-identification are documented.
  • Article type and length fit current TMI limits; methods are reproducible.

Common desk-reject triggers

  • A generic computer-vision/deep-learning method with no medical-imaging-specific contribution.
  • Evaluation on a tiny, single-site, or unrepresentative dataset with no rigorous protocol.
  • Missing or inappropriate baselines; unfair comparisons or no ablation of the claimed novelty.
  • No ethics/IRB statement or data provenance for human-subject imaging data.
  • Clinical-utility claims with no clinically meaningful validation or appropriate reference standard.

Re-routing decision

  • Broader biomedical engineering (devices, biosignals, non-imaging) → ieee-transactions-on-biomedical-engineering.
  • Highest-significance clinical translation/impact story → nature-biomedical-engineering.
  • Core contribution is a general signal-processing method → ieee-transactions-on-signal-processing.
  • Surgical/medical-robotics contribution as the core → ieee-transactions-on-robotics.
  • General computer-vision advance with no medical specificity → a computer-vision venue.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] IEEE Transactions on Medical Imaging
[Topic tags] <2–3 closest medical-imaging subtopics>
[Imaging-specific contribution] <what makes the method imaging-specific in one line>
[Method/evidence] <do the dataset + metrics + baselines clear TMI's validation bar?>
[Top risk] <the single most likely reason for rejection>
[Article type] Paper
[Official items to re-check] <article type / length / template / data-ethics / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Engineering-Technology-Journal-Skills/skills/ieee-transactions-on-medical-imaging of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Ieee Transactions On Medical Imaging compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ieee Transactions On Medical Imaging this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.9kAutomated safety check: PassMIT
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CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Research Paperluwill/research-skills862—~1.9kAutomated safety check: PassNone
Research Proposalluwill/research-skills862—~4.5kAutomated safety check: NotesNone

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Categories

Questions about Ieee Transactions On Medical Imaging

What does Ieee Transactions On Medical Imaging do?

A skill your agent uses when targeting IEEE Transactions on Medical Imaging (TMI) or deciding whether a medical-imaging methods manuscript fits this venue. Ieee Transactions On Medical Imaging is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting IEEE Transactions on Medical Imaging (TMI) or deciding whether a medical-imaging methods manuscript fits this venue.

When should I use Ieee Transactions On Medical Imaging?

Ieee Transactions On Medical Imaging fits situations like: targeting IEEE Transactions on Medical Imaging (TMI); deciding whether a medical-imaging methods manuscript fits this venue.

How do I install Ieee Transactions On Medical Imaging in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieee-transactions-on-medical-imaging -a claude-code`. Or copy the skill folder (Engineering-Technology-Journal-Skills/skills/ieee-transactions-on-medical-imaging in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ieee-transactions-on-medical-imaging in your project. Claude Code loads it when a task matches its description.

How do I install Ieee Transactions On Medical Imaging in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieee-transactions-on-medical-imaging -a codex`. Or copy the skill folder (Engineering-Technology-Journal-Skills/skills/ieee-transactions-on-medical-imaging in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ieee-transactions-on-medical-imaging in your project. Codex loads it when a task matches its description.

Can I use Ieee Transactions On Medical Imaging in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieee-transactions-on-medical-imaging -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ieee-transactions-on-medical-imaging, .gemini/skills/ieee-transactions-on-medical-imaging, .github/skills/ieee-transactions-on-medical-imaging and .opencode/skills/ieee-transactions-on-medical-imaging in your project.

What does Ieee Transactions On Medical Imaging need to run?

SKILL.md names no scripts, command-line tools or credentials: Ieee Transactions On Medical Imaging is instructions for the agent only.

Does Ieee Transactions On Medical Imaging access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ieee Transactions On Medical Imaging safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ieee Transactions On Medical Imaging use?

Ieee Transactions On Medical Imaging is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ieee Transactions On Medical Imaging use?

About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ieee Transactions On Medical Imaging?

Skills that share tags, products or a category with Ieee Transactions On Medical Imaging: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars) and Research Paper (luwill/research-skills, 862 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ieee Transactions On Medical Imaging?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.