2 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
Uncertainty quantification and control of kinetic models of tumour growth under clinical uncertainties
Andrea Medaglia, Giulia Colelli, Lisa Farina +6
In this work, we develop a kinetic model of tumour growth taking into account the effects of clinical uncertainties characterising the tumours' progression. The action of therapeut…
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…
A data-driven epidemic model with social structure for understanding the COVID-19 infection on a heavily affected Italian Province
M. Zanella, C. Bardelli, G. Dimarco +5
In this work, using a detailed dataset furnished by National Health Authorities concerning the Province of Pavia (Lombardy, Italy), we propose to determine the essential features o…