Dissertation topics suggested by the teacher.
Recent dissertations supervised by the teacher.
First cycle degree programmes dissertations
- Condivisione e riutilizzo di dati clinici mediante lo standard HL7 FHIR: il caso studio dei pazienti con tumori rari
- L'evoluzione dei trattamenti ablativi non termici: la Pulsed Field Ablation nel trattamento della fibrillazione atriale
Second cycle degree programmes dissertations
- A deep learning-based approach for multi-station spine MRI stitching
- A new rule-based algorithm for angiography imaging enhancement of coronary arteries
- A Web-Based Telemonitoring Platform for Integrated Cardiometabolic Risk Analysis
- Automatic quantification of adipose tissue in autosomal dominant polycystic kidney disease: a new tool for better understanding the disease pathophysiological mechanisms
- Bridging Clinical Practice and AI: Development of a Web Application Using LLMs to Structure Narrative Mammographic Reports based on BI-RADS
- Deep Learning Approaches for BraTS-Style Brain Tumor Segmentation and External Evaluation on Local Hospital MRI Data
- Deep Learning for Cardiac Chamber Segmentation and Anatomical Landmark Detection in MRI
- Design and Implementation of an AI-based Web Application for Clinical Report Generation
- Design and Integration of a 3D-Printed Aortic Phantom in an Experimental Setup for a Passive Intra-Aortic Balloon Pump Testing
- Design and Manufacturing of Surgical Guides for Minimally Invasive Guided Surgery in Innovative Zygomatic Implant Placement
- Efficient Multi-Label Panoptic Segmentation Strategy for Automated Fracture Detection in X-Ray Images
- EU Medical Device Regulation 745/2017 and Post-Market Surveillance: Regulatory Analysis, Clinical Cases and Personal Experience
- Evaluation of intracardiac echocardiography and deep learning for the definition of anatomical models supporting arrhythmia ablation therapy
- From Rule-Based Algorithms to Deep Learning: Advancing Automated Valve Segmentation in 2D Phase-Contrast MRI
- Hydrogen Peroxide Vapor Biodecontamination Systems: Experimental Insights into Critical Components and Engineering Perspectives
- Impact of Left Atrial Appendage Occluder Position on Thrombogenic Risk: A Computational Simulation Study in Atrial Fibrillation Patients
- Predicting Serum Potassium from ECG Using Deep Neural Networks: A Pilot Study on a New Open-Access Dataset
- Radiomics approach for the quantitative characterization of left atrial blood flow patterns in atrial fibrillation patients
- Radiomics-based atrial flow profile description from 4D Flow MRI in atrial fibrillation patients
- Regulatory framework of 3D-printed custom-made medical devices at the point-of-care: a case study at the Rizzoli Orthopedic Institute
- Use of Generative AI to Support Structured Radiological Reporting in Cardiac Magnetic Resonance Imaging
