Biography:
Andrea Ferraris was born in Asti, Italy. He earned his Master’s Degree in Biomedical Engineering from the Politecnico di Torino, graduating with a thesis titled “Development of an Artificial Intelligence-Based System for the Identification and Grading of Breast Cancer in Histological Images.”
From February 2021 to January 2022, he worked as a Research Fellow at the Politecnico di Torino, where he developed an AI-driven system for synthesizing cone beam computed tomography (CBCT) data into synthetic CT images. He also contributed to research on medical image segmentation, classification, and detection networks, and supported various projects within the Biolab group.
Currently, he is pursuing a Ph.D. in Bioengineering and Medical-Surgical Sciences at the Department of Electronics and Telecommunications of Politecnico di Torino. His research focuses on synthetic image generation, ultrasound simulator design, and the development of innovative AI evaluation metrics, alongside advancements in computer vision models for image segmentation.