Alberto Signoroni

Prof. Alberto Signoroni is an Associate Professor at the University of Brescia, Italy, affiliated with the Department of Medical and Surgical Specialties, Radiological Sciences and Public Health. His academic journey includes a 1997 Electronic Engineering degree (110/110 cum laude) and a 2001 PhD in Information Engineering from the same institution. He later earned a 2019 Master in Research Management from Polytechnic of Milan.

His research focuses on Computer Vision, Machine Learning, and Biomedical Image Processing, with notable contributions to medical AI applications such as predictive analytics in cardiology, 3D surgical navigation, and hyperspectral imaging for microbiology. His team, tAImedIA, explores interdisciplinary solutions for medical image interpretation challenges.

Recent work emphasizes AI-driven tools for healthcare, including mortality prediction from chest X-rays, scanner-effect mitigation in MRI segmentation, and claustrophobia management in MRI using ChatGPT dialogues. He has also pioneered datasets like CineScale2 for cinematic analysis and DenseMatch for real-time 3D reconstruction.

Prof. Signoroni’s publications bridge computational techniques with clinical needs, addressing both technical (e.g., LiDAR odometry, mesh denoising) and applied challenges (e.g., telemonitoring in orthodontics, bacterial colony classification via CNNs).