Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Serio, Luigi"'
Autor:
Santos, Diogo Reis, Protani, Andrea, Giusti, Lorenzo, Aillet, Albert Sund, Brutti, Pierpaolo, Serio, Luigi
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 electrocardiogram (ECG) data from devices such as the Internet of Thi
Externí odkaz:
http://arxiv.org/abs/2410.19781
Autor:
Santos, Diogo Reis, Aillet, Albert Sund, Boiano, Antonio, Milasheuski, Usevalad, Giusti, Lorenzo, Di Gennaro, Marco, Kianoush, Sanaz, Barbieri, Luca, Nicoli, Monica, Carminati, Michele, Redondi, Alessandro E. C., Savazzi, Stefano, Serio, Luigi
The rapid evolution of artificial intelligence (AI) technologies holds transformative potential for the healthcare sector. In critical situations requiring immediate decision-making, healthcare professionals can leverage machine learning (ML) algorit
Externí odkaz:
http://arxiv.org/abs/2410.13869
Autor:
Protani, Andrea, Giusti, Lorenzo, Iacovelli, Chiara, Aillet, Albert Sund, Santos, Diogo Reis, Reale, Giuseppe, Zauli, Aurelia, Moci, Marco, Garbuglia, Marta, Brutti, Pierpaolo, Caliandro, Pietro, Serio, Luigi
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 brain connectivity undergoes frequency-dependent reorganization post-
Externí odkaz:
http://arxiv.org/abs/2410.07199
Autor:
Boiano, Antonio, Di Gennaro, Marco, Barbieri, Luca, Carminati, Michele, Nicoli, Monica, Redondi, Alessandro, Savazzi, Stefano, Aillet, Albert Sund, Santos, Diogo Reis, Serio, Luigi
Federated Learning (FL) has emerged as a promising approach for privacy-preserving machine learning, particularly in sensitive domains such as healthcare. In this context, the TRUSTroke project aims to leverage FL to assist clinicians in ischemic str
Externí odkaz:
http://arxiv.org/abs/2404.11698
Autor:
Stoklasa, Roman, Stathopoulos, Ioannis, Karavasilis, Efstratios, Efstathopoulos, Efstathios, Dostál, Marek, Keřkovský, Miloš, Kozubek, Michal, Serio, Luigi
In clinical practice, we often see significant delays between MRI scans and the diagnosis made by radiologists, even for severe cases. In some cases, this may be caused by the lack of additional information and clues, so even the severe cases need to
Externí odkaz:
http://arxiv.org/abs/2311.14086
Publikováno v:
2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Federated Learning (FL) methods adopt efficient communication technologies to distribute machine learning tasks across edge devices, reducing the overhead in terms of data storage and computational complexity compared to centralized solutions. Rather
Externí odkaz:
http://arxiv.org/abs/2310.08087
Publikováno v:
In Expert Systems With Applications 15 May 2021 170
Publikováno v:
In Reliability Engineering and System Safety May 2021 209
Autor:
Serio, Luigi
This thesis is concerned with the design, development and testing of helium mass flowmeters based on different technologies to be used as diagnostic tools for the cryogenic system of the Large Hadron Collider at CERN, the European laboratory for part
Externí odkaz:
http://hdl.handle.net/1826/3525