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Academic Radiology
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June 19, 2007
Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves
Lorenzo L Pesce, Charles E Metz
Radiology
|
May 29, 2009
Computer-aided detection evaluation methods are not created equal
Robert M Nishikawa, Lorenzo L Pesce
Academic Radiology
|
May 11, 2013
Estimating sensitivity and specificity for technology assessment based on observer studies
Robert M Nishikawa, Lorenzo L Pesce
Academic Radiology
|
July 8, 2010
The effect of two priors on Bayesian estimation of "Proper" binormal ROC curves from common and degenerate datasets
Richard M Zur, Lorenzo L Pesce, Yulei Jiang
Academic Radiology
|
February 15, 2015
Estimating screening-mammography receiver operating characteristic (ROC) curves from stratified random samples of screening mammograms: a simulation study
Richard M Zur, Lorenzo L Pesce, Yulei Jiang
Veterinary Journal (London, England : 1997)
|
January 16, 2013
Receiver-operating characteristic curves for somatic cell scores and California mastitis test in Valle del Belice dairy sheep
Valentina Riggio, Lorenzo L Pesce, Salvatore Morreale, et al.
Academic Radiology
|
July 6, 2010
On the convexity of ROC curves estimated from radiological test results
Lorenzo L Pesce, Charles E Metz, Kevin S Berbaum
Radiology
|
October 30, 2009
Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006
Junji 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 model
Lorenzo L Pesce, Karla Horsch, Karen Drukker, et al.
Medical Physics
|
November 26, 2009
Noise injection for training artificial neural networks: a comparison with weight decay and early stopping
Richard M Zur, Yulei Jiang, Lorenzo L Pesce, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 43) with videos related to
Sort By:
Page
of 5
Academic Radiology
|
June 19, 2007
Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves
Lorenzo L Pesce, Charles E Metz
Radiology
|
May 29, 2009
Computer-aided detection evaluation methods are not created equal
Robert M Nishikawa, Lorenzo L Pesce
Academic Radiology
|
May 11, 2013
Estimating sensitivity and specificity for technology assessment based on observer studies
Robert M Nishikawa, Lorenzo L Pesce
Academic Radiology
|
July 8, 2010
The effect of two priors on Bayesian estimation of "Proper" binormal ROC curves from common and degenerate datasets
Richard M Zur, Lorenzo L Pesce, Yulei Jiang
Academic Radiology
|
February 15, 2015
Estimating screening-mammography receiver operating characteristic (ROC) curves from stratified random samples of screening mammograms: a simulation study
Richard M Zur, Lorenzo L Pesce, Yulei Jiang
Veterinary Journal (London, England : 1997)
|
January 16, 2013
Receiver-operating characteristic curves for somatic cell scores and California mastitis test in Valle del Belice dairy sheep
Valentina Riggio, Lorenzo L Pesce, Salvatore Morreale, et al.
Academic Radiology
|
July 6, 2010
On the convexity of ROC curves estimated from radiological test results
Lorenzo L Pesce, Charles E Metz, Kevin S Berbaum
Radiology
|
October 30, 2009
Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006
Junji 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 model
Lorenzo L Pesce, Karla Horsch, Karen Drukker, et al.
Medical Physics
|
November 26, 2009
Noise injection for training artificial neural networks: a comparison with weight decay and early stopping
Richard M Zur, Yulei Jiang, Lorenzo L Pesce, et al.
Page
of 5