Medicine
Our research explores how AI can enhance medical imaging by solving inverse problems, reconstructing accurate images from incomplete or noisy data. Beyond reconstruction, we develop methods for segmentation and prediction that support the analysis of medical images and the extraction of clinically relevant information. By combining mathematical theory and machine learning, we aim to create stable, interpretable, and trustworthy AI tools that support safer and more effective healthcare.
