77. Normalized glandular dose coefficients in mammography, digital breast tomosynthesis and breast dedicated CT
Sign Up to like & getrecommendations! Published in 2018 at "Physica Medica"
DOI: 10.1016/j.ejmp.2018.04.087
Abstract: Purpose To compute, via GEANT4 based Monte Carlo (MC) simulations, normalized glandular dose (DgN) coefficients for mean glandular dose (MGD) estimates in 2D and 3D X-ray breast imaging. Methods We developed a Monte Carlo code… read more here.
Keywords: normalized glandular; breast; dgn; glandular dose ... See more keywords
Protective role for the N-terminal domain of α-dystroglycan in Influenza A virus proliferation
Sign Up to like & getrecommendations! Published in 2019 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.1904493116
Abstract: Significance Influenza A virus (IAV) is a major cause of respiratory infections. We show that mice lacking the N-terminal domain of α-dystroglycan (α-DGN) exhibit significantly higher viral titers in the lungs after IAV infection. In… read more here.
Keywords: dgn; infection; role; influenza virus ... See more keywords
Deep Gauss-Newton for phase retrieval.
Sign Up to like & getrecommendations! Published in 2023 at "Optics letters"
DOI: 10.1364/ol.484862
Abstract: We propose the deep Gauss-Newton (DGN) algorithm. The DGN allows one to take into account the knowledge of the forward model in a deep neural network by unrolling a Gauss-Newton optimization method. No regularization or… read more here.
Keywords: dgn; phase retrieval; gauss newton; deep gauss ... See more keywords