Elenco Pubblicazioni - Publications (1521)
L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).
Written by LISA ANITA DE SANTI
Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work…
L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).
Written by LISA ANITA DE SANTI
Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work…
L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).
Written by LISA ANITA DE SANTI
Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work…
G. Meucci, S. Ghio, E. Giusti, M. Martorella "Radar target recognition based on Open Set YOLO", Radar 2022 - International Conference on Radar Systems 24 - 27 October 2022 | Murrayfield Stadium, Edinburgh, UK
Written by GIULIO MEUCCI
Automatic target recognition (ATR), both for optical and E.M. images, has been a subject of great interest since the last 20 years. The deep learning breakthrough allowed researchers to improve feature extractors by increasing their…
T. Pacini, E. Rapuano, G. Dinelli, L. Fanucci: "A Multi-Cache System for On-chip Memory Optimizations in FPGA-based CNN Accelerators", MDPI Electronics jorunal, October 2021
Written by TOMMASO PACINI
In recent years, FPGAs have demonstrated remarkable performance and contained power consumption for the on-the-edge inference of Convolutional Neural Networks. One of the main challenges in implementing this class of algorithms on board an FPGA…
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