3 citations · 5 across the 13 of their papers we have counts for
4 papers · 1 filter
Federated GNNs for EEG-Based Stroke Assessment
Andrea Protani, Lorenzo Giusti, Albert Sund Aillet +9
Machine learning (ML) has the potential to become an essential tool in supporting clinical decision-making processes, offering enhanced diagnostic capabilities and personalized tre…
Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation
Diogo Reis Santos, Andrea Protani, Lorenzo Giusti +3
Early detection of atrial fibrillation (AFib) is challenging due to its asymptomatic and paroxysmal nature. However, advances in deep learning algorithms and the vast collection of…
Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals
Andrea Protani, Lorenzo Giusti, Chiara Iacovelli +9
After an acute stroke, accurately estimating stroke severity is crucial for healthcare professionals to effectively manage patient's treatment. Graph theory methods have shown that…
A Distributed Approach for Persistent Homology Computation on a Large Scale
Riccardo Ceccaroni, Lorenzo Di Rocco, Umberto Ferraro Petrillo +1
Persistent homology (PH) is a powerful mathematical method to automatically extract relevant insights from images, such as those obtained by high-resolution imaging devices like el…