Metrics reloaded: recommendations for image analysis validation
Neural Networks Memorise Personal Information from One Sample
The role of noise in denoising models for anomaly detection in medical images
Adapting Vision Foundation Models for Plant Phenotyping
Diffusion Models for Causal Discovery via Topological Ordering
Research Experience
Leads the VIOS laboratory; involved in multiple AI-driven research projects, including but not limited to medical imaging analysis and plant phenotyping.
Background
Dedicated to addressing societal and life science problems, focusing on research in artificial intelligence, computer vision, and inverse problems.
Miscellany
VIOS (meaning 'life' in Greek) represents the team's passion for life sciences research.