MARTURANO, FRANCESCA
MARTURANO, FRANCESCA
Università di Padova
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.
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
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
A neural network predicting the amplitude of the N2pc in individual EEG datasets
2021 Marturano, F.; Brigadoi, S.; Doro, M.; Dell'Acqua, R.; Sparacino, G.
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.
A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG Datasets
2020 Marturano, F.; Brigadoi, S.; Doro, M.; Dell'Acqua, R.; Sparacino, G.
Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components
2020 Marturano, Francesca; Brigadoi, Sabrina; Doro, Mattia; Dell’Acqua, Roberto; Sparacino, Giovanni
Detection of the N2/N2pc event-related potential (ERP) components buried in the EEG using phase angle distribution across sweeps
2020 Marturano, F.; Brigadoi, S.; Doro, M.; Dell'Acqua, R.; Sparacino, G.
Development of a computer simulator of the visual N2 event-related potential component for the study of cognitive processes
2020 Marturano, Francesca; Brigadoi, Sabrina; Doro, Mattia; Dell'Acqua, Roberto; Sparacino, Giovanni
Probability to detect an N2pc ERP component in individual EEG datasets
2020 Marturano, Francesca; Brigadoi, Sabrina; Doro, Mattia; Dell'Acqua, Roberto; Sparacino, Giovanni
Development and test of an ERP simulator emulating visual N2 variability in amplitude and latency
2019 Marturano, Francesca; Brigadoi, Sabrina; Doro, Mattia; Dell'Acqua, Roberto; Sparacino, Giovanni
In silico assessment of literature insulin bolus calculation methods accounting for glucose rate of change
2019 Cappon, Giacomo; Marturano, Francesca; Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni
A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring
2018 Cappon, Giacomo; Vettoretti, Martina; Marturano, Francesca; Facchinetti, Andrea; Sparacino, Giovanni