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Sara Saponaro
Sara Saponaro
Università di Pisa, INFN Sezione di Pisa
在 studenti.unipi.it 的电子邮件经过验证
标题
引用次数
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Multi-site harmonization of MRI data uncovers machine-learning discrimination capability in barely separable populations: An example from the ABIDE dataset
S Saponaro, A Giuliano, R Bellotti, A Lombardi, S Tangaro, P Oliva, ...
NeuroImage: Clinical 35, 103082, 2022
212022
Deriving quantitative information from multiparametric MRI via Radiomics: Evaluation of the robustness and predictive value of radiomic features in the discrimination of low …
L Ubaldi, S Saponaro, A Giuliano, C Talamonti, A Retico
Physica Medica 107, 102538, 2023
162023
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders
S Saponaro, F Lizzi, G Serra, F Mainas, P Oliva, A Giuliano, S Calderoni, ...
Brain Informatics 11 (1), 2, 2024
32024
In-vitro Study for Cerenkov Luminescence Imaging Application in Hepatic Metastasectomy
E Ciarrocchi, S Saponaro, F Bartoli, AG Cataldi, S Vitali, PA Erba, ...
Frontiers in Physics 9, 635540, 2021
12021
Robust machine learning challenge: An AIFM multicentric competition to spread knowledge, identify common pitfalls and recommend best practice
M Maddalo, A Fanizzi, N Lambri, E Loi, M Branchini, L Lorenzon, ...
Physica Medica 127, 104834, 2024
2024
Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study
A Fanizzi, F Fadda, M Maddalo, S Saponaro, L Lorenzon, L Ubaldi, ...
Plos one 19 (9), e0303217, 2024
2024
SC10. 04 EVALUATION OF REPEATABILITY AND ROBUSTNESS OF CT-DERIVED RADIOMIC FEATURES USING A CUSTOM PHANTOM
MI Tenerani, M Imbriani, F Lizzi, S Pallotta, M Quattrocchi, A Retico, ...
Physica Medica 125, 103472, 2024
2024
Investigation of a potential upstream harmonization based on image appearance matching to improve radiomics features robustness: a phantom study
C Scapicchio, M Imbriani, F Lizzi, M Quattrocchi, A Retico, S Saponaro, ...
Biomedical Physics & Engineering Express 10 (4), 045006, 2024
2024
Development and Validation of Artificial Intelligence Methods for Magnetic Resonance Imaging Studies
S SAPONARO
2023
COMBINING STRUCTURAL AND FUNCTIONAL MRI-BASED BRAIN FEATURES WITH A DEEP LEARNING JOINT FUSION APPROACH
S Saponaro, F Lizzi, G Serra, L Marini, A Giuliano, P Oliva, A Retico
Physica Medica: European Journal of Medical Physics 115, 2023
2023
“AI4MP MACHINE LEARNING CHALLENGE”: A MULTICENTRIC COLLECTIVE EXPERIENCE OF DATA SCIENCE FOR “BIG DATA AND ARTIFICIAL INTELLIGENCE” AIFM WORKING GROUP
M Maddalo, R Massafra, L Lorenzon, A Giuliano, E Loi, G Belmonte, ...
Physica Medica 115, 102768, 2023
2023
AN AUTOMATED CRITERION FOR EXPRESSING THE JUDGEMENT ON THE TECHNICAL QUALITY OF MEDICAL RADIOLOGICAL EQUIPMENTS
A Tofani, A Niespolo, G Belmone, S Saponaro, FP Caputo, M Quattrocchi, ...
Physica Medica: European Journal of Medical Physics 115, 2023
2023
Robustness and predictivity of MRI-based radiomic features in glioma grade discrimination (∗)
L Ubaldi, S Saponaro, A Giuliano, C Talamonti, A Retico
IL NUOVO CIMENTO 100 (142), 46, 2023
2023
IMPROVING THE PERFORMANCE OF MACHINE LEARNING MODELS THROUGH A MULTI-SITE MRI DATA HARMONIZATION FRAMEWORK
S Saponaro, A Giuliano, R Bellotti, A Lombardi, S Tangaro, P Oliva, ...
Physica Medica 104, S75, 2022
2022
PD-0743 The role of timing of 3D boost in breast conservative treatment: concomitant versus sequential one.
L Bardoscia, MA Gilio, R Bagnoli, S Saponaro, P Cocuzza, ...
Radiotherapy and Oncology 170, S655-S656, 2022
2022
Analisi e sviluppo di un modello di programmazione della produzione: il caso Savema SpA
S SAPONARO
2021
Preliminary study of the feasibility of Cerenkov luminescence imaging in metastasectomy
E Ciarrocchi, S Saponaro, F Bartoli, AG Cataldi, S Vitali, PA Erba, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 47 (SUPPL 1 …, 2020
2020
In-vitro evaluation of a Cerenkov luminescence imaging system for intra-operative applications
S SAPONARO
2020
Integration and Optimization of XNAT-Based Platforms for the Management of Heterogeneous and Multicenter Data in Biomedical Research
C Scapicchio, S Arezzini, ME Fantacci, A Formuso, AC Kraan, E Mazzoni, ...
Characterization and Quantification of Image Quality in CT Imaging Systems: A Phantom Study
C Scapicchio, M Imbriani, F Lizzi, M Quattrocchi, A Retico, S Saponaro, ...
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