Archivio Istituzionale della RicercaCARDINALI, LEONARDO
CARDINALI, LEONARDO
Dipartimento di Elettronica e Telecomunicazioni
058003
Feasibility of Alzheimer's Disease Early Detection Through Machine Learning Applied to Microwave Sensing Data Collected from a Realistic Phantom
2024 Cardinali, L.; Mariano, V.; Tobon Vasquez, J. A.; Crocco, L.; Vipiana, F.
A machine learning approach to microwave sensing for non-invasive alzheimer’s disease early detection
2023 Cardinali, Leonardo; Spano, Mattia; Gugliermino, Martina; Rodriguez-Duarte, David Orlando; Ricci, Marco; Tobon Vasquez, Jorge Alberto; Palmeri, Roberta; Scapaticci, Rosa; Crocco, Lorenzo; Vipiana, Francesca
A microwave sensing system enhanced by a machine learning algorithm for Alzheimer’s disease early detection
2023 Cardinali, Leonardo; Spano, Mattia; Gugliermino, Martina; Rodriguez-Duarte, David Orlando; Ricci, Marco; Tobon Vasquez, Jorge Alberto; Palmeri, Roberta; Scapaticci, Rosa; Crocco, Lorenzo; Vipiana, Francesca
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Feasibility of Alzheimer's Disease Early Detection Through Machine Learning Applied to Microwave Sensing Data Collected from a Realistic Phantom / Cardinali, L.; Mariano, V.; Tobon Vasquez, J. A.; Crocco, L.; Vipiana, F.. - (2024), pp. 241-242. ( 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI Firenze (Ita) 14-19 July 2024) [10.1109/ap-s/inc-usnc-ursi52054.2024.10686512]. | 1-gen-2024 | Cardinali, L.Mariano, V.Tobon Vasquez, J. A.Crocco, L.Vipiana, F. | Feasibility_of_Alzheimers_Disease_Early_Detection_Through_Machine_Learning_Applied_to_Microwave_Sensing_Data_Collected_from_a_Realistic_Phantom.pdf |
| A machine learning approach to microwave sensing for non-invasive alzheimer’s disease early detection / Cardinali, Leonardo; Spano, Mattia; Gugliermino, Martina; Rodriguez-Duarte, David Orlando; Ricci, Marco; Tobon Vasquez, Jorge Alberto; Palmeri, Roberta; Scapaticci, Rosa; Crocco, Lorenzo; Vipiana, Francesca. - ELETTRONICO. - (2023). ( Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering Milano, Italy 25-27 ottobre 2023) [10.1109/MetroXRAINE58569.2023.10405555]. | 1-gen-2023 | Cardinali, LeonardoGugliermino, MartinaRodriguez-Duarte, David OrlandoRicci, MarcoTobon Vasquez, Jorge AlbertoVipiana, Francesca + | FullPaper_MLApproachToMWSensingForNonInvasiveEarlyADDetection_UPLOADED.pdf; Cardinali-AMachine.pdf |
| A microwave sensing system enhanced by a machine learning algorithm for Alzheimer’s disease early detection / Cardinali, Leonardo; Spano, Mattia; Gugliermino, Martina; Rodriguez-Duarte, David Orlando; Ricci, Marco; Tobon Vasquez, Jorge Alberto; Palmeri, Roberta; Scapaticci, Rosa; Crocco, Lorenzo; Vipiana, Francesca. - ELETTRONICO. - (2023). ( 2023 IEEE Conference on antenna measurements and applications Genova, Italy 15-17 novembre 2023) [10.1109/CAMA57522.2023.10352785]. | 1-gen-2023 | Cardinali, LeonardoGugliermino, MartinaRodriguez-Duarte, David OrlandoRicci, MarcoTobon Vasquez, Jorge AlbertoVipiana, Francesca + | MWSensingEnhancedByMLforAD_CAMA2023_validated.pdf; Cardinali-AMicrowave.pdf |