Matteo Salvi

Dottorando in Bioingegneria E Scienze Medico-chirurgiche , 39o ciclo (2023-2026)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Profilo

Dottorato di ricerca

Argomento di ricerca

Automatic 3D model generation from CT scans using deep neural networks for surgical support.

Tutori

Interessi di ricerca

Medical Innovation and Technology
Biomedical signal and image processing

Biografia

I am currently a PhD student in biomedical engineering, having completed my bachelor's degree at the UNIVPM - Università Politecnica delle Marche and my master's degree at PoliTO. Throughout my academic journey, I have developed a strong interest in the application of technology in healthcare, with a particular focus on emerging technologies such as deep learning.
In addition to my technical expertise in biomedical engineering, I am also passionate about 3D technologies and their role in medical visualization. I believe that 3D models can offer a powerful tool for both understanding complex medical data and enhancing surgical planning and decision-making. The integration of 3D models, especially when combined with AI and deep learning techniques, holds immense potential for improving the accuracy and efficiency of medical procedures.
I possess strong skills in programming, particularly in Python, as well as proficiency in deep learning frameworks such as TensorFlow and PyTorch. I have hands-on experience with medical image processing, utilizing libraries such as MONAI. I am also skilled in working with 3D rendering software and applying these technologies for the generation of 3D models. My current research focuses on the automatic generation of 3D models from medical imaging data, leveraging AI for better visualization and surgical support.