Kunio Doi to Image Interpretation, Computer-Assisted
This is a "connection" page, showing publications Kunio Doi has written about Image Interpretation, Computer-Assisted.
Connection Strength
2.745
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Clinical utility of temporal subtraction images in successive whole-body bone scans: evaluation in a prospective clinical study. J Digit Imaging. 2011 Aug; 24(4):680-7.
Score: 0.286
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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: 0.245
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Computer-aided diagnosis of focal liver lesions by use of physicians' subjective classification of echogenic patterns in baseline and contrast-enhanced ultrasonography. Acad Radiol. 2009 Apr; 16(4):401-11.
Score: 0.244
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Usefulness of computer-aided diagnosis schemes for vertebral fractures and lung nodules on chest radiographs. AJR Am J Roentgenol. 2008 Jul; 191(1):260-5.
Score: 0.231
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Diagnostic accuracy and reading time to detect intracranial aneurysms on MR angiography using a computer-aided diagnosis system. AJR Am J Roentgenol. 2008 Feb; 190(2):459-65.
Score: 0.225
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Computer-aided diagnosis in chest radiography. Comput Med Imaging Graph. 2007 Jun-Jul; 31(4-5):212-23.
Score: 0.212
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Development of a computer-aided diagnostic scheme for detection of interval changes in successive whole-body bone scans. Med Phys. 2007 Jan; 34(1):25-36.
Score: 0.208
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Diagnostic imaging over the last 50 years: research and development in medical imaging science and technology. Phys Med Biol. 2006 Jul 07; 51(13):R5-27.
Score: 0.201
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Reduction of bias and variance for evaluation of computer-aided diagnostic schemes. Med Phys. 2006 Apr; 33(4):868-75.
Score: 0.198
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Current status and future potential of computer-aided diagnosis in medical imaging. Br J Radiol. 2005; 78 Spec No 1:S3-S19.
Score: 0.181
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Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med Phys. 2003 Jul; 30(7):1602-17.
Score: 0.164
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Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs. Med Phys. 1995 May; 22(5):617-26.
Score: 0.093
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Differentiation of common large sellar-suprasellar masses effect of artificial neural network on radiologists' diagnosis performance. Acad Radiol. 2009 Mar; 16(3):313-20.
Score: 0.061
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Automatic detection of abnormalities in chest radiographs using local texture analysis. IEEE Trans Med Imaging. 2002 Feb; 21(2):139-49.
Score: 0.037
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Detection of lung nodules in digital chest radiographs using artificial neural networks: a pilot study. J Digit Imaging. 1995 May; 8(2):88-94.
Score: 0.023
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Image feature analysis and computer-aided diagnosis in mammography: reduction of false-positive clustered microcalcifications using local edge-gradient analysis. Med Phys. 1995 Feb; 22(2):161-9.
Score: 0.023
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Computerized detection of masses in digital mammograms: investigation of feature-analysis techniques. J Digit Imaging. 1994 Feb; 7(1):18-26.
Score: 0.021
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Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis. Invest Radiol. 1990 Oct; 25(10):1102-10.
Score: 0.017
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Image feature analysis and computer-aided diagnosis in digital radiography: automated analysis of sizes of heart and lung in chest images. Med Phys. 1990 May-Jun; 17(3):342-50.
Score: 0.016
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Pulmonary nodules: computer-aided detection in digital chest images. Radiographics. 1990 Jan; 10(1):41-51.
Score: 0.016
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Computer-aided detection of microcalcifications in mammograms. Methodology and preliminary clinical study. Invest Radiol. 1988 Sep; 23(9):664-71.
Score: 0.015
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Image feature analysis and computer-aided diagnosis in digital radiography: detection and characterization of interstitial lung disease in digital chest radiographs. Med Phys. 1988 May-Jun; 15(3):311-9.
Score: 0.014
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Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields. Med Phys. 1988 Mar-Apr; 15(2):158-66.
Score: 0.014