BETTINELLI, ANDREA
BETTINELLI, ANDREA
Università di Padova
EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [18F]FDG brain studies
2024 De Francisci, M.; Silvestri, E.; Bettinelli, A.; Volpi, T.; Goyal, M. S.; Vlassenko, A. G.; Cecchin, D.; Bertoldo, A.
Performance evaluation of the 3D-ring cadmium–zinc–telluride (CZT) StarGuide system according to the NEMA NU 1-2018 standard
2024 Zorz, A.; Rossato, M. A.; Turco, P.; Colombo Gomez, L. M.; Bettinelli, A.; De Monte, F.; Paiusco, M.; Zucchetta, P.; Cecchin, D.
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights
2024 Whybra, Philip; Zwanenburg, Alex; Andrearczyk, Vincent; Schaer, Roger; Apte, Aditya P.; Ayotte, Alexandre; Baheti, Bhakti; Bakas, Spyridon; Bettinelli, Andrea; Boellaard, Ronald; Boldrini, Luca; Buvat, Irène; Cook, Gary J. R.; Dietsche, Florian; Dinapoli, Nicola; Gabryś, Hubert S.; Goh, Vicky; Guckenberger, Matthias; Hatt, Mathieu; Hosseinzadeh, Mahdi; Iyer, Aditi; Lenkowicz, Jacopo; Loutfi, Mahdi A. L.; Löck, Steffen; Marturano, Francesca; Morin, Olivier; Nioche, Christophe; Orlhac, Fanny; Pati, Sarthak; Rahmim, Arman; Rezaeijo, Seyed Masoud; Rookyard, Christopher G.; Salmanpour, Mohammad R.; Schindele, Andreas; Shiri, Isaac; Spezi, Emiliano; Tanadini-Lang, Stephanie; Tixier, Florent; Upadhaya, Taman; Valentini, Vincenzo; van Griethuysen, Joost J. M.; Yousefirizi, Fereshteh; Zaidi, Habib; Müller, Henning; Vallières, Martin; Depeursinge, Adrien
Additional Value of PET and CT Image-Based Features in the Detection of Occult Lymph Node Metastases in Lung Cancer: A Systematic Review of the Literature
2023 Guglielmo, Priscilla; Marturano, Francesca; Bettinelli, Andrea; Sepulcri, Matteo; Pasello, Giulia; Gregianin, Michele; Paiusco, Marta; Evangelista, Laura
Author Correction: Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset (Scientific Reports, (2022), 12, 1, (14132), 10.1038/s41598-022-18085-z)
2023 Braghetto, A.; Marturano, F.; Paiusco, M.; Baiesi, M.; Bettinelli, A.
CECT-based radiomic prediction of vascular invasion for resected hepatocellular carcinoma (HCC) patients: is Laplacian of Gaussian filtering a viable option?
2023 Bettinelli, A; Marturano, F; Billato, I; Lupi, A; Ballo, M; Cabrelle, G; Pizzirani, E; Crimì, F; Carandina, R.
Dosiomic-based prediction of dysgeusia in head & neck cancer patients treated with radiotherapy
2023 Busato, F.; Fiorentin, D.; Bettinelli, A.; Anile, G.; Ghi, M. G.; Scaggion, A.; Dusi, F.; Paiusco, M.; Ferrari, M.; Nicolai, P.; Marturano, F.
Radiomics: from medical imaging to precision medicine. Development of advanced tools for texture analysis and implementation of AI techniques for prognostic modelling in oncology.
2023 Bettinelli, Andrea
Role of radiomic analysis of [18F]fluoromethylcholine PET/CT in predicting biochemical recurrence in a cohort of intermediate and high risk prostate cancer patients at initial staging
2023 Marturano, Francesca; Guglielmo, Priscilla; Bettinelli, Andrea; Zattoni, Fabio; Novara, Giacomo; Zorz, Alessandra; Sepulcri, Matteo; Gregianin, Michele; Paiusco, Marta; Evangelista, Laura
A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools
2022 Bettinelli, Andrea; Marturano, Francesca; Avanzo, Michele; Loi, Emiliano; Menghi, Enrico; Mezzenga, Emilio; Pirrone, Giovanni; Sarnelli, Anna; Strigari, Lidia; Strolin, Silvia; Paiusco, Marta
Image-derived Input Function in brain [18F]FDG PET data: which alternatives to the carotid siphons?
2022 Silvestri, Erica; Volpi, Tommaso; Bettinelli, Andrea; De Francisci, Mattia; Jones, Judson; Corbetta, Maurizio; Cecchin, Diego; Bertoldo, Alessandra
Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset
2022 Braghetto, A.; Marturano, F.; Paiusco, M.; Baiesi, M.; Bettinelli, A.
Stability of radiomic features to multiple-reader segmentations in contrast-enhanced computed tomography (CECT) images of Hepatocellular Carcinoma (HCC)
2022 Bettinelli, A; Marturano, F; Ballo, M; Bilato, I; Cabrelle, G; Carandina, R; Crimì, F; Lupi, A; Paiusco, M; Pizzirani, E; Ricciardi, C; Cillo, U.
The ImSURE phantoms: a digital dataset for radiomic software benchmarking and investigation
2022 Bettinelli, Andrea; Marturano, Francesca; Sarnelli, Anna; Bertoldo, Alessandra; Paiusco, Marta
Additional value of pet radiomic features for the initial staging of prostate cancer: A systematic review from the literature
2021 Guglielmo, P.; Marturano, F.; Bettinelli, A.; Gregianin, M.; Paiusco, M.; Evangelista, L.
Exploratory Analysis of 18F-3’-deoxy-3’-fluorothymidine (18F-FLT) PET/CT-Based Radiomics for the Early Evaluation of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer
2021 Fantini, L.; Belli, M. L.; Azzali, I.; Loi, E.; Bettinelli, A.; Feliciani, G.; Mezzenga, E.; Fedeli, A.; Asioli, S.; Paganelli, G.; Sarnelli, A.; Matteucci, F.
Quantification of HD-EEG net attenuation on 18F-FDG static PET: a phantom and human brain study
2021 Silvestri, Erica; Castellaro, Marco; Zorz, Alessandra; Bettinelli, Andrea; Campi, Cristina; Paiusco, Marta; Cecchin, Diego; Bertoldo, Alessandra
Limiting treatment plan complexity by applying a novel commercial tool
2020 Scaggion, A.; Fusella, M.; Agnello, G.; Bettinelli, A.; Pivato, N.; Roggio, A.; Rossato, M. A.; Sepulcri, M.; Paiusco, M.
Technical Note: An IBEX adaption toward image biomarker standardization
2020 Bettinelli, A.; Branchini, M.; De Monte, F.; Scaggion, A.; Paiusco, M.
Typical values for pediatric interventional cardiology catheterizations: A standardized approach towards Diagnostic Reference Level establishment
2020 De Monte, F.; Castaldi, B.; Branchini, M.; Bettinelli, A.; Milanesi, O.; Paiusco, M.; Roggio, A.