Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29561
Abstract: The aims of this work are (1) to explore deep learning (DL) architectures, spectroscopic input types, and learning designs toward optimal quantification in MR spectroscopy of simulated pathological spectra; and (2) to demonstrate accuracy and… read more here.
Keywords: spectra deep; quantification spectra; learning; learning idealized ... See more keywords
Surface science insight note: Optimizing XPS instrument performance for quantification of spectra
Sign Up to like & getrecommendations! Published in 2024 at "Surface and Interface Analysis"
DOI: 10.1002/sia.7296
Abstract: X‐ray photoelectron spectroscopy (XPS) provides quantitative information from photoemission peaks and shapes observed within the background due to the inelastic scattering of photoelectrons. To quantify the signal, both photoemission peaks and background in spectra must… read more here.
Keywords: transmission; quantification; quantification spectra; science insight ... See more keywords