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Academic Radiology|June 19, 2007
Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curvesLorenzo L Pesce, Charles E MetzAcademic Radiology|July 6, 2010
On the convexity of ROC curves estimated from radiological test resultsLorenzo L Pesce, Charles E Metz, Kevin S BerbaumRadiology|October 30, 2009
Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006Junji Shiraishi, Lorenzo L Pesce, Charles E Metz, et al.Academic Radiology|November 8, 2011
Semiparametric estimation of the relationship between ROC operating points and the test-result scale: application to the proper binormal modelLorenzo L Pesce, Karla Horsch, Karen Drukker, et al.Medical Physics|May 8, 2012
A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancerKarla Horsch, Lorenzo L Pesce, Maryellen L Giger, et al.Radiology|September 28, 2011
Small lung cancers: improved detection by use of bone suppression imaging--comparison with dual-energy subtraction chest radiographyFeng Li, Roger Engelmann, Lorenzo L Pesce, et al.Radiological Physics and Technology|September 8, 2010
ROC analysis in medical imaging: a tutorial review of the literatureCharles E MetzJournal of the American College of Radiology : JACR|April 7, 2007
Receiver operating characteristic analysis: a tool for the quantitative evaluation of observer performance and imaging systemsCharles E MetzAcademic Radiology|May 11, 2013
Estimating sensitivity and specificity for technology assessment based on observer studiesRobert M Nishikawa, Lorenzo L PesceAcademic Radiology|January 24, 2006
A quadratic model for combining quantitative diagnostic assessments from radiologist and computer in computer-aided diagnosisYulei Jiang, Charles E MetzPageof 8