203 citations · 452 across the 24 of their papers we have counts for
24 papers
Analysis methods for in-beam PET images in proton therapy treatment verification: a comparison based on Monte Carlo simulations
M. Moglioni, A. C. Kraan, A. Berti +13
Background and purpose: In-beam Positron Emission Tomography (PET) is one of the modalities that can be used for in-vivo non-invasive treatment monitoring in proton therapy. PET di…
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria
Francesca Lizzi, Abramo Agosti, Francesca Brero +11
The automatic assignment of a severity score to the CT scans of patients affected by COVID-19 pneumonia could reduce the workload in radiology departments. This study aims at explo…
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)
Elisa Ferrari, Alessandra Retico, Davide Bacciu
Over the years, there has been growing interest in using Machine Learning techniques for biomedical data processing. When tackling these tasks, one needs to bear in mind that biome…
Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier
P. Delogu, M. E. Fantacci, P. Kasae +1
The computer-aided diagnosis system we developed for the mass characterization is mainly based on a segmentation algorithm and on the neural classification of several features comp…
Automated detection of lung nodules in low-dose computed tomography
D. Cascio, S. C. Cheran, A. Chincarini +11
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector computed-tomography (CT) images has been developed in the framework o…
An automated system for lung nodule detection in low-dose computed tomography
I. Gori, M. E. Fantacci, A. Preite Martinez +1
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical Computed Tomography (CT) images was developed in the framewor…