3 papers
eess.IV2023
A Federated Learning Framework for Stenosis Detection
Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni +6
This study explores the use of Federated Learning (FL) for stenosis detection in coronary angiography images (CA). Two heterogeneous datasets from two institutions were considered:…
cs.AI2023★ 11 cited
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis
Lucia Migliorelli, Daniele Berardini, Kevin Cela +4
Background and objectives: Patients suffering from neurological diseases may develop dysarthria, a motor speech disorder affecting the execution of speech. Close and quantitative m…
cs.CR2014
Security issues for data sharing and service interoperability in eHealth systems: the Nu.Sa. test bed
Emanuele Frontoni, Marco Baldi, Primo Zingaretti +2
The aim of the Nu.Sa. project is the definition of national level data standards to collect data coming from General Practitioners' Electronic Health Records and to allow secure da…