2 papers
cs.CV2026
Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline
Eugenia Moris, José Ignacio Orlando
Developing competitive deep learning baselines for medical imaging remains a highly iterative process requiring literature review, implementation, experimentation, and expert refin…
cs.CV2025
Semi-Supervised Multi-Task Learning for Interpretable Quality As- sessment of Fundus Images
Lucas Gabriel Telesco, Danila Nejamkin, EstefanÃa Mata +8
Retinal image quality assessment (RIQA) supports computer-aided diagnosis of eye diseases. However, most tools classify only overall image quality, without indicating acquisition d…