​The Biomedical Imaging for Modeling and Simulation (BIMS) group was established in 2023 by Professor M. Francesca Spadea. The group's research approach is strongly collaborative, working closely with the clinical environment to address real-world challenges posed by clinicians. The aim is both to develop effective solutions to current clinical needs and to generate innovative ideas that support diagnosis and therapy.

The main field of interest is Medical Image Processing for guiding medical treatments with 3 main research pillars.

These research pillars share several core tasks:

• Planning and simulation, common to both NEXT_RT and VERITY
• Precision medicine, addressed by NEXT_RT and PRISM
• Treatment monitoring, a focus of both VERITY and PRISM

These research lines leverage advanced computer vision techniques, mainly exploiting artificial intelligence techniques, to acquire, process, analyze, and interpret digital images. Enabling high-dimensional data extraction from real-world sources, producing numerical or symbolic information such as actionable insights or decision-support outputs.

Modeling and Simulation in Radiotherapy

• Implementation of automatic image segmentation algorithms 
• Image-to-image translation for MR-only treatment and adaptive therapy
• Dosimetric assessment on processed images 
• Federated learning for Radiotherapy

Advanced Imaging Analysis

• Radiomics Analysis
• Patient stratification based on Machine Learning and Deep Learning techniques
• Knowledge graphs implementation for patient representation

Intraoperative Navigation

• Development of software and hardware tools for computer assisted diagnosis and therapy
• Computer vision and Augmented Reality