Junji Shiraishi to ROC Curve
This is a "connection" page, showing publications Junji Shiraishi has written about ROC Curve.
Connection Strength
3.766
-
Charles Edgar Metz, Ph.D. (1942-2012): pioneer in receiver operating characteristic (ROC) analysis. Radiol Phys Technol. 2019 Mar; 12(1):1-5.
Score: 0.572
-
Verification of modified receiver-operating characteristic software using simulated rating data. Radiol Phys Technol. 2018 Dec; 11(4):406-414.
Score: 0.555
-
Quantification of hazard prediction ability at hazard prediction training (Kiken-Yochi Training: KYT) by free-response receiver-operating characteristic (FROC) analysis. Radiol Phys Technol. 2017 Mar; 10(1):106-112.
Score: 0.487
-
Basic concepts and development of an all-purpose computer interface for ROC/FROC observer study. Radiol Phys Technol. 2013 Jan; 6(1):35-41.
Score: 0.361
-
[Effect of signal selection in receiver operating characteristics (ROC) analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2010 Nov 20; 66(11):1467-73.
Score: 0.323
-
Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006. Radiology. 2009 Dec; 253(3):822-30.
Score: 0.300
-
[A test method for assessing statistical significance for differences between modalities using multi-reader multi-case ROC analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2007 Oct 20; 63(10):1200-7.
Score: 0.260
-
[Judgment of the efficacy of digital image diagnosis and ROC analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Jan; 58(1):14-19.
Score: 0.174
-
[Investigation of Clinical Utility of Radiological Technologist's Reading Report as a Second Opinion for Medical Doctor Reading of Digital Mammogram]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020; 76(10):997-1008.
Score: 0.152
-
[Development of a computer-aided diagnosis system for the distinction between benign and malignant gastric lesions]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2012; 68(11):1474-85.
Score: 0.087
-
Observer study for evaluating potential utility of a super-high-resolution LCD in the detection of clustered microcalcifications on digital mammograms. J Digit Imaging. 2010 Apr; 23(2):161-9.
Score: 0.072
-
Usefulness of temporal subtraction images for identification of interval changes in successive whole-body bone scans: JAFROC analysis of radiologists' performance. Acad Radiol. 2007 Aug; 14(8):959-66.
Score: 0.064
-
Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance. Acad Radiol. 2006 Aug; 13(8):995-1003.
Score: 0.060
-
Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience. Radiology. 2003 May; 227(2):469-74.
Score: 0.048
-
Computer-aided diagnosis for estimating the malignancy grade of hepatocellular carcinoma using contrast-enhanced ultrasound: an ROC observer study. Liver Int. 2016 07; 36(7):1026-32.
Score: 0.029
-
Improved detection of subtle lung nodules by use of chest radiographs with bone suppression imaging: receiver operating characteristic analysis with and without localization. AJR Am J Roentgenol. 2011 May; 196(5):W535-41.
Score: 0.021
-
[ROC analysis for evaluating the detectability of image unsharpness due to the patient's movement: phantom study comparing preview and diagnostic LCDs]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2011; 67(7):772-8.
Score: 0.020
-
Presentation of similar images as a reference for distinction between benign and malignant masses on mammograms: analysis of initial observer study. J Digit Imaging. 2010 Oct; 23(5):592-602.
Score: 0.019
-
Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms. Radiology. 2009 Dec; 253(3):625-31.
Score: 0.019
-
Improved detection of hepatic metastases with contrast-enhanced low mechanical-index pulse inversion ultrasonography during the liver-specific phase of sonazoid: observer performance study with JAFROC analysis. Acad Radiol. 2009 Jul; 16(7):798-809.
Score: 0.018
-
Computer-aided detection in computed tomography colonography: current status and problems with detection of early colorectal cancer. Radiat Med. 2008 Jun; 26(5):261-9.
Score: 0.017
-
Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology. 2005 Nov; 237(2):684-90.
Score: 0.014
-
Effect of temporal subtraction images on radiologists' detection of lung cancer on CT: results of the observer performance study with use of film computed tomography images. Acad Radiol. 2004 Dec; 11(12):1337-43.
Score: 0.013
-
Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. AJR Am J Roentgenol. 2004 Nov; 183(5):1209-15.
Score: 0.013
-
Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical cases. Acad Radiol. 2004 Jan; 11(1):29-37.
Score: 0.013
-
Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules. Med Phys. 2003 Oct; 30(10):2584-93.
Score: 0.012
-
Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys. 2003 Sep; 30(9):2440-54.
Score: 0.012
-
Computer-aided diagnosis in chest radiography: results of large-scale observer tests at the 1996-2001 RSNA scientific assemblies. Radiographics. 2003 Jan-Feb; 23(1):255-65.
Score: 0.012
-
[Development of an image processing scheme for chest radiographs using a dot printer]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Sep; 58(9):1268-77.
Score: 0.011
-
Digital chest radiography: effect of temporal subtraction images on detection accuracy. Radiology. 1997 Feb; 202(2):447-52.
Score: 0.008