Francesca Marturano

Publications

• In Silico Assessment of Literature Insulin Bolus Calculation Methods Accounting for Glucose Rate of Change, Journal of Diabetes Science and Technology. https://doi.org/10.1177/1932296818777524
• A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring, Journal of Diabetes Science and Technology. https://doi.org/10.1177/1932296818759558
• Development of a Computer Simulator of the Visual N2 Event-Related Potential Component for the Study of Cognitive Processes, 15th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON, Coimbra, Portugal, Sep. 2019.
• Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components, Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ab85d4
• A neural network predicting the amplitude of the N2pc in individual EEG datasets, Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac2849
• A neural network predicting the amplitude of the N2pc in individual EEG datasets
• A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG Datasets
• Additional Value of PET Radiomic Features for the Initial Staging of Prostate Cancer: A Systematic Review from the Literature
• In Silico Assessment of Literature Insulin Bolus Calculation Methods Accounting for Glucose Rate of Change
• Development of a Computer Simulator of the Visual N2 Event-Related Potential Component for the Study of Cognitive Processes
• Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components
• Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information
• A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools
• A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring
• TomoTherapy QA prediction using a combination of complexity metrics and sinograms radiomics features
• Radiomics and Deep Learning for the 2-Year Overall Survival Prediction in Lung Cancer
• Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset
• A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools (vol 303, pg E30, 2022)
• A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools (vol 303, 10.1148/radiol.211604, 2022)
• Role of radiomics analysis of F-18-Choline (FCh)-PET/CT in predicting biochemical recurrence (BR) in a cohort of intermediate-high risk prostate cancer (PCa) patients (pts) at staging
• The ImSURE phantoms: a digital dataset for radiomic software benchmarking and investigation
• Prediction models as decision-support tools for virtual patient-specific quality assurance of helical tomotherapy plans
• 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
• A Polymer Thick Film on an Organic Substrate Grid Electrode and an Open-Source Recording System for UHF MRI: An Imaging Study
• Breast density prediction model in digital versus synthetic mammograms from a radiomic point of view: A retrospective study