GARAU, NOEMI

GARAU, NOEMI  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
The challenge of choosing the best classification method in radiomic analyses: Recommendations and applications to lung cancer CT images 1-gen-2021 Garau N.Paganelli C. +
External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis 1-gen-2020 Garau N.Paganelli C.Baroni G. +
OC-0409 Comparison of different strategies to derive time-resolved volumetric MRI in MRI-guided radiotherapy 1-gen-2019 Paganelli, C.Garau, N.Meschini, G.Via, R.Riboldi, M.Baroni, G. +
Radiomics feature reproducibility between respiratory phases for low-dose CT screening for lung cancer 1-gen-2019 Garau N.Paganelli C.Baroni G. +
A ROI-based global motion model established on 4DCT and 2D cine-MRI data for MRI-guidance in radiation therapy 1-gen-2019 GARAU, NOEMIVia, RiccardoMeschini, GiorgiaRiboldi, MarcoBaroni, GuidoPaganelli, Chiara +
A segmentation tool for pulmonary nodules in lung cancer screening: Testing and clinical usage 1-gen-2021 Garau N.Paganelli C.Baroni G. +
Time-resolved volumetric MRI in MRI-guided radiotherapy: An in silico comparative analysis 1-gen-2019 Paganelli C.Garau N.Meschini G.Via R.Buizza G.Riboldi M.Baroni G. +