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Daniela Schenone
Daniela Schenone
Postdoc Researcher, University of Genova
Adresse e-mail validée de dima.unige.it
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Citée par
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Année
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
2372020
Edge detection methods based on RBF interpolation
L Romani, M Rossini, D Schenone
Journal of Computational and Applied Mathematics 349, 532-547, 2019
722019
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
322018
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
192020
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
112021
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
82022
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
82021
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
82020
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
52020
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
22023
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
22021
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
12020
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
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Articles 1–17