0000000000291928

AUTHOR

Alessandro Lascialfari

showing 2 related works from this author

Spin dynamics in the single-ion magnet [Er(W5O18)2]9−

2018

In this work we present a detailed NMR and ${\ensuremath{\mu}}^{+}\mathrm{SR}$ investigation of the spin dynamics in the new hydrated sodium salt containing the single-ion magnet ${[\mathrm{Er}{({\mathrm{W}}_{5}{\mathrm{O}}_{18})}_{2}]}^{9\ensuremath{-}}$. The $^{1}\mathrm{H}\phantom{\rule{0.16em}{0ex}}\mathrm{NMR}$ absorption spectra at various applied magnetic fields present a line broadening on decreasing temperature which indicates a progressive spin freezing of the single-molecule magnetic moments. The onset of quasistatic local magnetic fields, due to spin freezing, is observed also in the muon relaxation curves at low temperature. Both techniques yield a local field distribution of t…

Larmor precessionPhysicsMuonMagnetic momentMagnetism02 engineering and technologyMuon spin spectroscopy021001 nanoscience & nanotechnology01 natural sciencesDipolesymbols.namesake0103 physical sciencessymbolsAtomic physics010306 general physics0210 nano-technologyHamiltonian (quantum mechanics)Local fieldPhysical Review B
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A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia

2023

Abstract Background The role of computed tomography (CT) in the diagnosis and characterization of coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We evaluated the performance of a software for quantitative analysis of chest CT, the LungQuant system, by comparing its results with independent visual evaluations by a group of 14 clinical experts. The aim of this work is to evaluate the ability of the automated tool to extract quantitative information from lung CT, relevant for the design of a diagnosis support model. Methods LungQuant segments both the lungs and lesions associated with COVID-19 pneumonia (ground-glass opacities and consolidations) and computes derived…

Deep LearningSoftware validationCOVID-19Radiology Nuclear Medicine and imagingTomography (x-ray computed)Lung
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