Publications
G. Boffa, C. Razzetta, D. Boccia, S. Garbarino, E. Cipriano, A. Uccelli, C. Lapucci, M. Piana, and M. Inglese, Determinants driving the evolution of new multiple sclerosis lesions into chronic active or remyelinated states, NeuroImage: Clinical, 47:103823 (2025)
Razzetta C., A study on modeling and optimization of biomedical ultrasound imaging, 2024.
Razzetta C.,Candiani V., Crocco M. and Benvenuto F., A stochastic approach to delays optimization for narrowband transmit beam pattern in medical ultrasound, Discover Applied Sciences 6, 370 (2024)
Razzetta C.,Candiani V., Crocco M. and Benvenuto F., A hybrid time-frequency parametric modelling of medical ultrasound signal transmission, Advances in Computational Science and Engineering. 1(3): 249-270 (2023)
Research projects participation
1/01/2025-Now Dheal-Com - Digital Health Solutions in Community Medicine. Coordinator: Lorena Rossi
6/02/2025-Now Approcci RBF per l'inpainting di problemi PDE, adattati con reti neurali. Coordinator: Dr. Mohammad Karimnejad Esfahani
11/2/2023 - 01/30/2025 PNRR RAISE - Robotics and AI for Socio-economic Empowerment, Next Generation EU.
2022 - Metodi numerici per l'imaging: dal 2D al 3D, INdAM-GNCS. Coordinator: Prof. Silvia Tozza.
The project aims to develop computational methods for three-dimensional image analysis to solve problems in reconstruction, pattern recognition, segmentation, denoising and image restoration
2020 - MyLab 4.0, Esaote S.p.A. - Agenda Digitale FRI. Coordinator: Pietro Amoretti.
The project aims to evolve the current process of managing ultrasound diagnostics from a simple tool for analysis by the physician to an integrated digital service structure for echo-guided diagnostic and interventional radiology available to the entire health care facility, for the benefit of the patient, no matter where the health care service is accessed.
2020 - Problemi inversi e applicazioni, DIMA - Fondi di Ricerca di Ateneo 2020. Coordinator: Prof. Federico Benvenuto.
Talks and presentations
Lectures at international schools
01/17-20/2023 - Winter PhD school on Advanced methods for mathematical image analysis, Bologna. Title:"Ultrasound Biomedical Imaging: improve image quality by automatically optimizing parameters".
Invited talks
09/15-19/2023 - Dolomites Research Week on Approximation and Applications, San Vito di Cadore. Title: "Delay and Sum beamforming Point Spread Function: local invariance and its consequences".
08/20-25/2023 - International Congress of Industrial and Applied Mathematics (ICIAM23), Tokyo. Title: "A local space-invariant approximation for DAS Point Spread Function calculation".
06/11-14/2023 - The Artimino conference on Medical Ultrasound Technology, Artimino. Title: "Stochastic approach for automatic optimisation of acquisition parameters for Point Spread Function enhancement".
09/20-23/2022 - GIMC-SIMAI YOUNG 2022, Pavia. Title:"Biomedical Ultrasound Beam Patterns Optimization: from a stochastic approach to neural networks
Poster presentations
11/21-22/2024 - IV Annual Meeting della Rete RIN, Genova. Poster: "Spatial covariance analysis of hypothalamus nuclei atrophy in neurodegenerative diseases"
10/22-23/2024 - Workshop Intelligenza Artificale e Robotic per la Salute, Genova. Poster1: "Technologies and devices for healthcare: from research labs to clinical setting". Poster 2: "AI-based disease progression modelling for neurodegenerative diseases: exploiting connectivity through different data and diseases"
02/26/2023 - 03/03/2023 - SIAM Conference on Computational Science and Engineering, Amsterdam. Poster:"A stochastic approach to delays optimization for narrowband transmit beam pattern in medical ultrasound".
06/19-25/2022 - 14th IEEE EMBS-SPS International Summer School on Biomedical Imaging, IMT Atlantique Bretagne-Pays de la Loire. Poster: "A stochastic approach to transmit delays optimization: enhancing narrowband applications in medical ultrasound.
Software development
A Python simulator for medical ultrasound linear array probe beam pattern computation. The simulator allows parallelized computations on multiple threads of the impulse response function in order to approximate Beam pattern shapes. After the impulse response computing, the Beam patterns can be computed on CPUs or GPUs cores at the user's discretion.