Elenco Pubblicazioni - Publications (1446)
Davide Mulfari. 2018. A TensorFlow-based Assistive Technology System for Users with Visual Impairments. In W4A ’18: W4A ’18: The Internet of Accessible Things, April 23–25, 2018, Lyon, France. ACM, New York, NY, USA, 2 pages. https://doi.org/10. 1145
Written by DAVIDE MULFARI
Abstract: The paper investigates the potential benefits of bringing together Internet of Things and deep learning techniques toward the development of assistive technologies for users with visual disabilities. We propose a computer vision system designed…
M. Diani, M. Moscadelli, G. Corsini - Improved Alpha Residuals for Target Detection in Thermal Hyperspectral Imaging. IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 5, pp. 779-783, May 2018
Written by MATTEO MOSCADELLI
This letter presents a new method to compute alpha residuals (AR) in longwave infrared hyperspectral images. AR allow emissivity-based target detection being them a quantity, related to the target emissivity, which is less prone to…
N Fuin, O A Catalano, M Scipioni, L P W Canjels, D Izquierdo, S Pedemonte, and C Catana, Concurrent Respiratory Motion Correction of Abdominal PET and DCE-MRI using a Compressed Sensing Approach J Nucl Med, 2018
Written by MICHELE SCIPIONI
Purpose: We present an approach for concurrent reconstruction of respiratory motion compensated abdominal DCE-MRI and PET data in an integrated PET/MR scanner. The MR and PET reconstructions share the same motion vector fields (MVFs) derived…
MF Santarelli, N Vanello, M Scipioni, G Valvano and L Landini, New Imaging Frontiers in Cardiology: Fast and Quantitative Maps from Raw Data, Current Pharmaceutical Design, volume 23, issue 22, pages 32
Written by MICHELE SCIPIONI
Background: Among the novelties in the field of cardiovascular imaging, the construction of quantitative maps in a fast and efficient way is one of the most interesting aspects of the clinical research. Quantitative parametric maps…
R. Iglio, S. Mariani, L.M. Strambini and G. Barillaro. Macroporous PDMS foam decorated with carbon nanotubes for conductometric pressure and strain sensors. Conference Paper IEEE Sensors 2017
Written by ROSSELLA IGLIO
Abstract: In this work a novel top-down approach for the preparation of macroporous polydimethylsiloxane (mpPDMS) foam decorated with pristine multiwalled carbon nanotubes (MWCNTs) is reported. mpPDMS-MWCNTs foam is subjected to different characterization tests aimed at…
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