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Francesca Marturano
Francesca Marturano
Massachusetts General Hospital and Harvard Medical School
在 mgh.harvard.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
A neural-network-based approach to personalize insulin bolus calculation using continuous glucose monitoring
G Cappon, M Vettoretti, F Marturano, A Facchinetti, G Sparacino
Journal of diabetes science and technology 12 (2), 265-272, 2018
752018
A novel benchmarking approach to assess the agreement among radiomic tools
A Bettinelli, F Marturano, M Avanzo, E Loi, E Menghi, E Mezzenga, ...
Radiology 303 (3), 533-541, 2022
362022
The image biomarker standardization initiative: standardized convolutional filters for reproducible radiomics and enhanced clinical insights
P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, ...
Radiology 310 (2), e231319, 2024
252024
Additional value of PET radiomic features for the initial staging of prostate cancer: a systematic review from the literature
P Guglielmo, F Marturano, A Bettinelli, M Gregianin, M Paiusco, ...
Cancers 13 (23), 6026, 2021
232021
In silico assessment of literature insulin bolus calculation methods accounting for glucose rate of change
G Cappon, F Marturano, M Vettoretti, A Facchinetti, G Sparacino
Journal of diabetes science and technology 13 (1), 103-110, 2019
192019
Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset
A Braghetto, F Marturano, M Paiusco, M Baiesi, A Bettinelli
Scientific Reports 12 (1), 14132, 2022
172022
A time-frequency analysis for the online detection of the n2pc event-related potential (ERP) component in individual EEG datasets
F Marturano, S Brigadoi, M Doro, R Dell’Acqua, G Sparacino
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
52020
Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components
F Marturano, S Brigadoi, M Doro, R Dell’Acqua, G Sparacino
Journal of Neural Engineering 17 (3), 036024, 2020
52020
Dosiomic-based prediction of dysgeusia in head & neck cancer patients treated with radiotherapy
F Busato, D Fiorentin, A Bettinelli, G Anile, MG Ghi, A Scaggion, F Dusi, ...
Radiotherapy and Oncology 188, 109896, 2023
42023
Prediction models as decision-support tools for virtual patient-specific quality assurance of helical tomotherapy plans
S Cavinato, A Bettinelli, F Dusi, M Fusella, A Germani, F Marturano, ...
Physics and Imaging in Radiation Oncology 26, 100435, 2023
42023
Optimal insulin bolus dosing in type 1 diabetes management: Neural network approach exploiting CGM sensor information
G Cappon, M Vettoretti, F Marturano, A Facchinetti, G Sparacino
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
42018
Role of radiomic analysis of [18F]fluoromethylcholine PET/CT in predicting biochemical recurrence in a cohort of intermediate and high risk prostate cancer patients …
F Marturano, P Guglielmo, A Bettinelli, F Zattoni, G Novara, A Zorz, ...
European Radiology 33 (10), 7199-7208, 2023
32023
The ImSURE phantoms: a digital dataset for radiomic software benchmarking and investigation
A Bettinelli, F Marturano, A Sarnelli, A Bertoldo, M Paiusco
Scientific Data 9 (1), 695, 2022
32022
A neural network predicting the amplitude of the N2pc in individual EEG datasets
F Marturano, S Brigadoi, M Doro, R Dell’Acqua, G Sparacino
Journal of Neural Engineering 18 (5), 056044, 2021
32021
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
P Guglielmo, F Marturano, A Bettinelli, M Sepulcri, G Pasello, M Gregianin, ...
Diagnostics 13 (13), 2153, 2023
22023
Development of a computer simulator of the visual N2 event-related potential component for the study of cognitive processes
F Marturano, S Brigadoi, M Doro, R Dell’Acqua, G Sparacino
Mediterranean Conference on Medical and Biological Engineering and Computing …, 2019
22019
In silico assessment of literature methods to adjust insulin bolus dose according to CGM trend
F Marturano, G Cappon, M Vettoretti, A Facchinetti, G Sparacino
17th Annual Diabetes Technology Meeting (DTM), 2017, November 2nd-4th 2017 …, 2017
22017
The Image Biomarker Standardization Initiative: Standardized convolutional filters for quantitative radiomics Authors and affiliations
P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, ...
2023
CECT-based radiomic prediction of vascular invasion for resected hepatocellular carcinoma (HCC) patients: is Laplacian of Gaussian filtering a viable option?
A Bettinelli, F Marturano, I Billato, A Lupi, M Ballo, G Cabrelle, E Pizzirani, ...
ECR2023, 2023
2023
Author Correction: Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset
A Braghetto, F Marturano, M Paiusco, M Baiesi, A Bettinelli
Scientific Reports 13, 2023
2023
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