15 citations · 17 across the 6 of their papers we have counts for
6 papers
Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma
Daniela Schenonea, Rita Lai, Michele Cea +13
Multiple Myeloma (MM) is a blood cancer implying bone marrow involvement, renal damages and osteolytic lesions. The skeleton involvement of MM is at the core of the present paper,…
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: a 3D analysis of SPECT/CT images
Francesco Fiz, Helmut Dittmann, Cristina Campi +7
To meet the current need for skeletal tumor-load estimation in prostate cancer (mCRPC), we developed a novel approach, based on adaptive bone segmentation. In this study, we compar…
FDG kinetics in cells and tissues: a biochemically-driven compartmental approach
Mara Scussolini, Vanessa Cossu, Cecilia Marini +2
The radioactive glucose analogue 2-deoxy-2-[18F]fluoro-D-glucose (FDG) is widely used to reconstruct glucose metabolism and other biological functions in cells and tissues. The ana…
Parametric Imaging of FDG-PET Data Using Physiology and Iterative Regularization: Application to the Hepatic and Renal Systems
Mara Scussolini, Sara Garbarino, Gianmario Sambuceti +2
The present paper proposes a novel computational method for parametric imaging of nuclear medicine data. The mathematical procedure is general enough to work for compartmental mode…
A physiology--based parametric imaging method for FDG--PET data
Mara Scussolini, Sara Garbarino, Gianmario Sambuceti +2
Parametric imaging is a compartmental approach that processes nuclear imaging data to estimate the spatial distribution of the kinetic parameters governing tracer flow. The present…
Compartmental analysis of renal physiology using nuclear medicine data and statistical optimization
Sara Garbarino, Giacomo Caviglia, Massimo Brignone +3
This paper describes a general approach to the compartmental modeling of nuclear data based on spectral analysis and statistical optimization. We utilize the renal physiology as te…