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Connection

Junji Shiraishi to Radiographic Image Enhancement

This is a "connection" page, showing publications Junji Shiraishi has written about Radiographic Image Enhancement.
  1. Utilization of upper and lower limits of exposure index in clinical digital radiography. Radiol Phys Technol. 2022 Dec; 15(4):349-357.
    View in: PubMed
    Score: 0.724
  2. Application of a pixel-shifted linear interpolation technique for reducing the projection number in tomosynthesis imaging. Radiol Phys Technol. 2019 Mar; 12(1):30-39.
    View in: PubMed
    Score: 0.558
  3. Clinical utility of ultra-low-dose pre-test exposure to avoid unnecessary patient exposure due to positioning errors: a simulation study. Radiol Phys Technol. 2017 Dec; 10(4):489-495.
    View in: PubMed
    Score: 0.514
  4. Modulation transfer function measurement of CT images by use of a circular edge method with a logistic curve-fitting technique. Radiol Phys Technol. 2015 Jan; 8(1):53-9.
    View in: PubMed
    Score: 0.415
  5. [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.
    View in: PubMed
    Score: 0.346
  6. [Effect of signal selection in receiver operating characteristics (ROC) analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2010 Nov 20; 66(11):1467-73.
    View in: PubMed
    Score: 0.320
  7. Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification. Med Phys. 2006 Jul; 33(7):2642-53.
    View in: PubMed
    Score: 0.236
  8. [Judgment of the efficacy of digital image diagnosis and ROC analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Jan; 58(1):14-19.
    View in: PubMed
    Score: 0.173
  9. 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.
    View in: PubMed
    Score: 0.083
  10. Determination of similarity measures for pairs of mass lesions on mammograms by use of BI-RADS lesion descriptors and image features. Acad Radiol. 2009 Apr; 16(4):443-9.
    View in: PubMed
    Score: 0.071
  11. 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.
    View in: PubMed
    Score: 0.071
  12. Investigation of psychophysical measure for evaluation of similar images for mammographic masses: preliminary results. Med Phys. 2005 Jul; 32(7):2295-304.
    View in: PubMed
    Score: 0.055
  13. Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys. 2003 Sep; 30(9):2440-54.
    View in: PubMed
    Score: 0.049
  14. Digital chest radiography: effect of temporal subtraction images on detection accuracy. Radiology. 1997 Feb; 202(2):447-52.
    View in: PubMed
    Score: 0.031
  15. A computerized scheme for lung nodule detection in multiprojection chest radiography. Med Phys. 2012 Apr; 39(4):2001-12.
    View in: PubMed
    Score: 0.022
  16. Subjective similarity of patterns of diffuse interstitial lung disease on thin-section CT: an observer performance study. Acad Radiol. 2009 Apr; 16(4):477-85.
    View in: PubMed
    Score: 0.018
  17. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy. Acad Radiol. 2008 Dec; 15(12):1505-12.
    View in: PubMed
    Score: 0.017
  18. 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.
    View in: PubMed
    Score: 0.013
  19. Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. Acad Radiol. 2004 Jun; 11(6):617-29.
    View in: PubMed
    Score: 0.013
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.