@article{cd886fd06a4611df928f000ea68e967b,
title = "Assessement of rheumatic diseases with computational radiology: current status and future potential",
abstract = "In recent years, several computational image analysis methods to assess disease progression in rheumatic diseases were presented. This review article explains the basics of these methods as well as their potential application in rheumatic disease monitoring, it covers radiography, sonography as well as magnetic resonance imaging in quantitative analysis frameworks.",
author = "Philipp Peloschek and Mikael Boesen and Rene Donner and Olga Kubassova and Erich Birngruber and Janina Patsch and Marius Mayerh{\"o}fer and Georg Langs",
note = "Keywords: Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Rheumatic Diseases; Sensitivity and Specificity",
year = "2009",
doi = "10.1016/j.ejrad.2009.04.046",
language = "English",
volume = "71",
pages = "211--6",
journal = "European Journal of Radiology",
issn = "0720-048X",
publisher = "Elsevier Ireland Ltd",
number = "2",
}