Private teacher for high school and university students

Assistant for exams correction in the following courses:• 93668 – 3D Image Analysis and Computer Vision Systems. Second cycle degree programme (LM) in Computer Science and Engineering, Prof. Alessandro Bevilacqua • 96007 – Foundations of computer architecture and operating systems. First cycle degree programme (L) in Computer Systems Technologies, Prof. Alessandro Bevilacqua

Machine learning algorithm development to find out tumoral diagnostic and prognostic biomarker through CT, PET, and MR image analysis:• new hybrid (local and global) texture analysis features developed• pancreatic neuroendocrine lesions staging• accessory spleen and pancreatic lesions discrimination• clinically significant prostate cancer prediction• hepatic carcinoma micro vascular invasion prediction (≤1=cm)Collaborating institutes: Radiology and Nuclear Medicine units, IRCCS Sant’Orsola-Malpighi Hospital, Bologna

Co-supervisor of BS and MS Theses: eight in Biomedical Engineering, one in Mathematics, and one in Nuclear Medicine

Liver perfusion CT time concentration signal analysis to improve diagnostic and prognostic perfusion parameters accuracy and to reduce radiation dose:• development and validation of an iterative adaptive algorithm for the automatic detection of the time-tissue concentration signal's unenhanced phase• analysis of the perfusion parameters' accuracy computed by applying the baseline algorithm • study of perfusion acquisition protocols' optimal duration to reduce patients' radiation dosage without altering perfusion results' quality Collaborating institutes: ARCES (Advanced Research Center on Electronic Systems "Ercole De Castro"), University of Bologna; Radiology unit, IRCCS IRST (Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST)), Meldola (FC); LIB (Laboratory of Imaging Biomarkers), University Beaujon Hospital, Clichy (France); Radiology unit, University Beaujon Hospital, Clichy (France)

Quantitative analysis of perfusion Computed Tomography (CTp) images aimed at increasing the standardization of the technique and improving the accuracy and reproducibility of perfusion results: • validation of a reliability index related to the calculated perfusion values ​​• development of an automatic method to detect and exclude bronchi, vessels, and artefacts from perfusion analysis• study and analysis of tumor tissues' functional heterogeneity • coordination of the regions of interest segmentation activities • 8-month training period abroad at the University Beaujon Hospital (Clichy, France) Collaborating institutes: DEI (Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi”), University of Bologna; ARCES (Advanced Research Center on Electronic Systems for Information and Communication Technologies “Ercole De Castro”), University of Bologna; IRCCS IRST (Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori), Meldola (FC); Université Paris VII "D. Diderot", Paris (France); LIB (Laboratory of Imaging Biomarkers), University Beaujon Hospital, Clichy (France); Radiology Unit, University Beaujon Hospital, Clichy (France)

Preparation and correction of written and oral exams for obtaining the qualification as an Engineer (sections A and B) in the "Information Engineering" sector.

Improvement of the perfusion models developed during the Master's Degree Thesis: • collection and archiving of data and examinations from pulmonary Computed Tomography perfusion (CTp) • study, application, and comparison of techniques to correct lung tissue motion • fianlization of a parametric model for the fitting of pulmonary time-concentration signals • development of a reliability index for the calculated perfusion values ​​• development of a graphical interface for the segmentation of the regions of interest, the calculation and the visualization of the perfusion parameters Institutes collaborators: ARCES (Advanced Research Center on Electronic Systems for Information and Communication Technologies “Ercole De Castro”), University of Bologna; IRST IRCCS (Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori), Meldola (FC)

Collection, organization and analysis of data acquired during multicentric studies of liver Computed Tomography perfusion (CTp): • collection and archiving of liver CTp examinations • coordination of regions of interest's segmentation activities • analysis of variability factors affecting multicentric perfusion studies Collaborating Institutes: ARCES (Advanced Research Center on Electronic Systems for Information and Communication Technologies “Ercole De Castro”), University of Bologna; Radiology Unit, University Beaujon Hospital, Clichy (France)

Multicentric analysis of liver perfusion examinations in patients with colorectal cancer: • collection and archiving of liver Computed Tomography perfusion (CTp) data and examiantions • coordination of regions of interest's segmentation activities • development of motion correction methods for liver tissue • development of a dual-input mono-compartmental model for the calculation of hepatic CTp perfusion parameters through the use of synthetic signals Collaborating institutes: DEI (Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi”), University of Bologna; ARCES (Advanced Research Center on Electronic Systems for Information and Communication Technologies “Ercole De Castro” ), University of Bologna; LIB (Laboratory of Imaging Biomarkers), University Beaujon Hospital, Clichy (France); Unit of Radiology, University Beaujon Hospital, Clichy (France)

Research activities aimed at writing the master's degree thesis: • pre-processing of Computed Tomography perfusion (CTp) images • development of two single-input mono-compartmental models for the calculation of CTp perfusion parameters through the use of synthetic signals • application of the two perfusion models to the CTp images and comparison of the results obtained Collaborating institutes: Second Faculty of Engineering based in Cesena, University of Bologna; IRCCS IRST (Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori), Meldola (FC), Italy