An x-ray polarimeter for hard x-ray optics [PDF]
SPIE Proceedings, 2006 12 pages, 7 ...
Muleri Fabio +27 more
openaire +8 more sources
X-ray reflection in a sample of X-ray bright ultraluminous X-ray sources [PDF]
Monthly Notices of the Royal Astronomical Society, 2010 We apply a reflection-based model to the best available XMM-Newton spectra of X-ray bright UltraLuminous X-ray (ULX) sources (NGC 1313 X-1, NGC 1313 X-2, M 81 X-6, Holmberg IX X-1, NGC 5408 X-1 and Holmberg II X-1). A spectral drop is apparent in the data of all the sources at energies 6-7 keV.
Andrew C. Fabian, M. D. Caballero-Garcia
openaire +5 more sources
Oxygen K-edge X-ray Absorption Spectra
Chemical Reviews, 2020 We review oxygen K-edge X-ray absorption spectra of both molecules and solids. We start with an overview of the main experimental aspects of oxygen K-edge X-ray absorption measurements including X-ray sources, monochromators, and detection schemes.
Federica Frati +2 more
exaly +2 more sources
The X-ray properties of Be/X-ray pulsars in quiescence [PDF]
Monthly Notices of the Royal Astronomical Society, 2017 18 pages, 4 figures, 3 tables, accepted by ...
Sergey S. Tsygankov +7 more
openaire +8 more sources
X-ray photoelectron spectroscopy: Towards reliable binding energy referencing
Progress in Materials Science, 2020 Grzegorz Greczynski, Lars Hultman
exaly +2 more sources
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks [PDF]
Physical and Engineering Sciences in Medicine, 2020 In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal incidents, was utilized for the automatic detection of the Coronavirus disease.
Ioannis D. Apostolopoulos +1 more
semanticscholar +1 more source
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network [PDF]
Applied intelligence (Boston), 2020 Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural networks (CNN s)
Asmaa Abbas, M. Abdelsamea, M. Gaber
semanticscholar +1 more source
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization [PDF]
IEEE Access, 2020 Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening.
Tawsifur Rahman +10 more
semanticscholar +1 more source
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases [PDF]
Computer Vision and Pattern Recognition, 2017 The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored in many modern
Xiaosong Wang +5 more
semanticscholar +1 more source