GENOVESI, DARIO
GENOVESI, DARIO
Istituto di Fisiologia Clinica - IFC
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Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios
2023 Bargagna, Filippo; De Santi, Lisa Anita; Martini, Nicola; Genovesi, Dario; Favilli, Brunella; Vergaro, Giuseppe; Emdin, Michele; Giorgetti, Assuero; Positano, Vincenzo; Santarelli, Maria Filomena
Explainable CNN-Based Cardiac Amyloidosis Classification from PET Images Through Manifold Learning
2023 De Santi, Lisa Anita; Bargagna, Filippo; Santarelli, Maria Filomena; Vergaro, Giuseppe; Genovesi, Dario; Emdin, Michele; Giorgetti, Assuero; Positano, Vincenzo
Renin Angiotensin System and Thyroid Hormone Crosstalk: From Experimental Approaches to Clinical Perspectives
2023 Sabatino, Laura; Genovesi, Dario; Vassalle, Cristina
Imaging Techniques as an Aid in the Early Detection of Cardiac Amyloidosis
2021 Santarelli, M. F.; Scipioni, M.; Genovesi, D.; Giorgetti, A.; Marzullo, P.; Landini, L.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios | 1-gen-2023 | Bargagna, Filippo; De Santi, Lisa Anita; Martini, Nicola; Genovesi, Dario; Favilli, Brunella; Vergaro, Giuseppe; Emdin, Michele; Giorgetti, Assuero; Positano, Vincenzo; Santarelli, Maria Filomena | |
Explainable CNN-Based Cardiac Amyloidosis Classification from PET Images Through Manifold Learning | 1-gen-2023 | De Santi, Lisa Anita; Bargagna, Filippo; Santarelli, Maria Filomena; Vergaro, Giuseppe; Genovesi, Dario; Emdin, Michele; Giorgetti, Assuero; Positano, Vincenzo | |
Renin Angiotensin System and Thyroid Hormone Crosstalk: From Experimental Approaches to Clinical Perspectives | 1-gen-2023 | Sabatino, Laura; Genovesi, Dario; Vassalle, Cristina | |
Imaging Techniques as an Aid in the Early Detection of Cardiac Amyloidosis | 1-gen-2021 | Santarelli, M. F.; Scipioni, M.; Genovesi, D.; Giorgetti, A.; Marzullo, P.; Landini, L. |