| Overview of radiomics in breast cancer diagnosis and prognostication AS Tagliafico, M Piana, D Schenone, R Lai, AM Massone, N Houssami The Breast 49, 74-80, 2020 | 232 | 2020 |
| Edge detection methods based on RBF interpolation L Romani, M Rossini, D Schenone Journal of Computational and Applied Mathematics 349, 532-547, 2019 | 72 | 2019 |
| Semi-automatic spline fitting of planar curvilinear profiles in digital images using the Hough transform C Conti, L Romani, D Schenone Pattern Recognition 74, 64-76, 2018 | 32 | 2018 |
| Spinal cord hypermetabolism extends to skeletal muscle in amyotrophic lateral sclerosis: a computational approach to [18F]-fluorodeoxyglucose PET/CT images M Bauckneht, R Lai, A Miceli, D Schenone, V Cossu, MI Donegani, ... EJNMMI research 10, 1-10, 2020 | 19 | 2020 |
| Radiomics and artificial intelligence for outcome prediction in multiple myeloma patients undergoing autologous transplantation: a feasibility study with CT data D Schenone, A Dominietto, C Campi, F Frassoni, M Cea, S Aquino, ... Diagnostics 11 (10), 1759, 2021 | 11 | 2021 |
| Opportunistic skeletal muscle metrics as prognostic tools in metastatic castration-resistant prostate cancer patients candidates to receive Radium-223 M Bauckneht, R Lai, F D’Amico, A Miceli, MI Donegani, C Campi, ... Annals of Nuclear Medicine 36 (4), 373-383, 2022 | 8 | 2022 |
| Quantitative imaging and radiomics in multiple myeloma: a potential opportunity? AS Tagliafico, A Dominietto, L Belgioia, C Campi, D Schenone, M Piana Medicina 57 (2), 94, 2021 | 8 | 2021 |
| Development and definition of a simplified scoring system in patients with multiple myeloma undergoing stem cells transplantation on standard computed tomography: Myeloma spine … AS Tagliafico, L Belgioia, A Bonsignore, A Signori, M Formica, F Rossi, ... Cancer Imaging 20, 1-6, 2020 | 8 | 2020 |
| Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma D Schenone, R Lai, M Cea, F Rossi, L Torri, B Bignotti, G Succio, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 1011-1017, 2020 | 5 | 2020 |
| A 2D prediction step using multiquadric local interpolation with adaptive parameter estimation for image compression F Aràndiga, R Donat, D Schenone Applied Mathematics and Computation 457, 128164, 2023 | 2 | 2023 |
| Myocardial Metabolic Response Predicts Chemotherapy Curative Potential on Hodgkin Lymphoma: A Proof-of-Concept Study C Marini, M Bauckneht, A Borra, R Lai, MI Donegani, A Miceli, C Campi, ... Biomedicines 9 (8), 971, 2021 | 2 | 2021 |
| Prognostic power of the human psoas muscles FDG metabolism in amyotrophic lateral sclerosis R Lai, D Schenone, G Sambuceti, AM Massone, C Campi, A Chiò, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 466-472, 2020 | 1 | 2020 |
| Sarcopenia represents an independent adverse event in metastatic castration-resistant prostate cancer (mCRPC) patients candidates to Radium-223 therapy F D'Amico, R Lai, M Donegani, A Miceli, S Raffa, C Campi, C Delucchi, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (SUPPL 1 …, 2021 | | 2021 |
| Quantitative Imaging and Radiomics in Multiple Myeloma: opportunity or hype? AS Tagliafico, A Dominietto, L Belgioia, C Campi, D Schenone, M Piana Preprints, 2020 | | 2020 |
| Metabolic response of normal bone marrow in non-responders patients with Hodgkin Lymphoma: a FDG-PET/CT study A Borra, R Lai, M Bauckneht, S CAPITANIO, S Morbelli, V Ceriani, F Fiz, ... EANM'19, 2019 | | 2019 |
| Mathematical tools for images D Schenone Università degli studi di Pavia, 2018 | | 2018 |
| Edge detection methods based on RBF interpolation D Schenone | | 2018 |
