Christian Salvatore is a researcher at the Scuola Universitaria Superiore IUSS, Pavia. He has a scientific background in the field of physics applied to medicine, with a focus on diagnostic imaging. From 2013 to 2019, he was a research fellow at the Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR). In 2018-2019, he was an adjunct professor at the University of Milano–Bicocca. His research activity is focused on the application of Physics to Medicine and Biology and, more recently, to Environmental and Cultural Heritage. His research topics concern: (1) the development and implementation of image-acquisition and processing methods for functional and structural studies at a single-organ level or entire organisms, both in the clinical (human) and preclinical (small animal) fields, working with hospitals and clinical research centers; (2) development of artificial intelligence methods for the quantification, extraction, and classification of information acquired through imaging techniques such as Positron Emission Tomography (PET), Nuclear Magnetic Resonance Imaging (NMR), optical imaging, ultraviolet fluorescence (UV), near-infrared (IR) reflectography, multispectral imaging, near-infrared functional imaging (fNIRS), remote sensing visible imaging; (3) development of methods and models for the correction of physical effects representing sources of disturbance in clinical imaging studies (for example partial volume effect in PET).
Christian Salvatore is a researcher at the Scuola Universitaria Superiore IUSS, Pavia. He has a scientific background in the field of physics applied to medicine, with a focus on diagnostic imaging. From 2013 to 2019, he was a research fellow at the Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR). In 2018-2019, he was an adjunct professor at the University of Milano–Bicocca. His research activity is focused on the application of Physics to Medicine and Biology and, more recently, to Environmental and Cultural Heritage. His research topics concern: (1) the development and implementation of image-acquisition and processing methods for functional and structural studies at a single-organ level or entire organisms, both in the clinical (human) and preclinical (small animal) fields, working with hospitals and clinical research centers; (2) development of artificial intelligence methods for the quantification, extraction, and classification of information acquired through imaging techniques such as Positron Emission Tomography (PET), Nuclear Magnetic Resonance Imaging (NMR), optical imaging, ultraviolet fluorescence (UV), near-infrared (IR) reflectography, multispectral imaging, near-infrared functional imaging (fNIRS), remote sensing visible imaging; (3) development of methods and models for the correction of physical effects representing sources of disturbance in clinical imaging studies (for example partial volume effect in PET).