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paperarXivTrust 82 · PrimaryPublished 3d agoLive · yesterday

Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline

Developing competitive deep learning baselines for medical imaging remains a highly iterative process requiring literature review, implementation, experimentation, and expert refinement. Existing automation approaches typically optimize isolated components, such as architecture search or hyperparameter tuning, rather than the complete baseline development process. We present an agentic AI Scientist workflow that combines literature-guided reasoning, automated code generation, and hypothesis-driven experimentation to generate competitive baseline models for medical imaging challenges. The frame

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  • FuzzySimilar title/name (fuzzy) · 87%NirDiamant/GenAI_Agents

    Fuzzy title match (0.94): “Can Coding Agents Build Robust Baselines? A Skill-Based Appr” ≈ “NirDiamant/GenAI_Agents”

  • FuzzySimilar title/name (fuzzy) · 84%Unity-Technologies/ml-agents

    Fuzzy title match (0.92): “Can Coding Agents Build Robust Baselines? A Skill-Based Appr” ≈ “Unity-Technologies/ml-agents”

  • FuzzySimilar title/name (fuzzy) · 59%datawhalechina/hello-agents

    Fuzzy title match (0.73): “Can Coding Agents Build Robust Baselines? A Skill-Based Appr” ≈ “datawhalechina/hello-agents”

  • FuzzySimilar title/name (fuzzy) · 59%Eigenwise/atomic-agents

    Fuzzy title match (0.73): “Can Coding Agents Build Robust Baselines? A Skill-Based Appr” ≈ “Eigenwise/atomic-agents”

  • FuzzySimilar title/name (fuzzy) · 59%virgiliojr94/book-to-skill

    Fuzzy title match (0.73): “Can Coding Agents Build Robust Baselines? A Skill-Based Appr” ≈ “virgiliojr94/book-to-skill”

  • LinkedLinked via arxiv author · 85%Eugenia Moris

    Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pi

  • LinkedLinked via arxiv author · 85%José Ignacio Orlando

    Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pi

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