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Alessandro Perelli is a Lecturer in Artificial Intelligence at the University of Glasgow, within the School of Cardiovascular and Metabolic Health. His research primarily focuses on advanced imaging techniques and their applications in cardiovascular and metabolic health. Through his work, he explores innovative methodologies for medical image reconstruction and analysis, specifically utilizing machine learning and deep learning techniques. His notable contributions include works on low-dose CT imaging, hybrid models for photon-counting computed tomography, and the implementation of lightweight attention modules in imaging systems. With an extensive publication record in prestigious journals, Alessandro has been involved in multiple research projects aimed at enhancing the predictive capabilities of medical imaging technology. He is actively engaged in interdisciplinary collaborations with institutions like the University of Dundee to advance his research themes, particularly in the fields of cardiac physiology, biophysics, and computational health sciences.
University of Glasgow • Glasgow
Lecturer in Artificial Intelligence, focusing on cardiovascular and metabolic health.