3 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.CV2026
End-to-end plaque counting and virus titration from laboratory plate images with deep learning
Eugenia Moris, Alicia Costábile, Sebastián Rey +11
Plaque assays remain the gold standard readout of virus infectivity; however, plaque counting from plate images is labor-intensive and prone to inter-operator variability. We prese…
cs.CV2023
Evaluating sleep-stage classification: how age and early-late sleep affects classification performance
Eugenia Moris, Ignacio Larrabide
Sleep stage classification is a common method used by experts to monitor the quantity and quality of sleep in humans, but it is a time-consuming and labour-intensive task with high…