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Connection

Junji Shiraishi to Humans

This is a "connection" page, showing publications Junji Shiraishi has written about Humans.
Connection Strength

0.646
  1. [What We Have Learned from the COVID-19 Pandemic]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2021; 77(1):I.
    View in: PubMed
    Score: 0.026
  2. [Radiomics for Estimating Recurrence Risk of Patients with Lung Cancer by Using Survival Analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2021; 77(2):153-159.
    View in: PubMed
    Score: 0.026
  3. [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.
    View in: PubMed
    Score: 0.024
  4. [Development of Automated Positioning System in General Radiography Examination-Application to Four Directions Cervical Spine Radiography]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2019; 75(4):305-313.
    View in: PubMed
    Score: 0.022
  5. 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: 0.022
  6. [Automated Detection of Radiopaque Markers in Chest and Abdomen Radiography]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2018; 74(4):344-353.
    View in: PubMed
    Score: 0.021
  7. 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: 0.021
  8. 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.
    View in: PubMed
    Score: 0.019
  9. Image Data Mining for Pattern Classification and Visualization of Morphological Changes in Brain MR Images. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2016 02; 72(2):149-56.
    View in: PubMed
    Score: 0.018
  10. Incident reports related to tasks performed by radiological technologists: an analysis of ten years of incident reports. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2015 02; 71(2):99-107.
    View in: PubMed
    Score: 0.017
  11. 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: 0.017
  12. [Development of temporal subtraction method for chest radiographs by using pixel matching technique]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2013 Aug; 69(8):855-63.
    View in: PubMed
    Score: 0.015
  13. [Computer-aided detection of metastatic brain tumors in magnetic resonance images]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2013 Jun; 69(6):632-40.
    View in: PubMed
    Score: 0.015
  14. A simple method for identifying image orientation of chest radiographs by use of the center of gravity of the image. Radiol Phys Technol. 2012 Jul; 5(2):207-12.
    View in: PubMed
    Score: 0.014
  15. Comparison of Kupffer-phase Sonazoid-enhanced sonography and hepatobiliary-phase gadoxetic acid-enhanced magnetic resonance imaging of hepatocellular carcinoma and correlation with histologic grading. J Ultrasound Med. 2012 Apr; 31(4):529-38.
    View in: PubMed
    Score: 0.014
  16. [Development of software for the verification of patient flow through a daily clinical environment by use of the radiology information system (RIS)]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2012; 68(10):1340-5.
    View in: PubMed
    Score: 0.014
  17. [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: 0.014
  18. [Development of the computerized scheme for reconstructing three dimensional ultrasonography from the conventional two dimensional dynamic images]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2012; 68(12):1617-23.
    View in: PubMed
    Score: 0.014
  19. Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med. 2011 Nov; 41(6):449-62.
    View in: PubMed
    Score: 0.014
  20. 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.
    View in: PubMed
    Score: 0.013
  21. [Computerized estimation of a percent glandular tissue composition in computed radiography mammography]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2011; 67(12):1540-7.
    View in: PubMed
    Score: 0.013
  22. [Preface for special issue on radiological technology research involving observer performance study]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2010 Nov 20; 66(11):1415.
    View in: PubMed
    Score: 0.013
  23. [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: 0.013
  24. 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.
    View in: PubMed
    Score: 0.012
  25. 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: 0.011
  26. Computer-aided diagnosis for the classification of focal liver lesions by use of contrast-enhanced ultrasonography. Med Phys. 2008 May; 35(5):1734-46.
    View in: PubMed
    Score: 0.011
  27. [A successful approach to a computer-aided diagnostic study--an example for the detection of interval changes in successive whole-body bone scans]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2007 Dec 20; 63(12):1448-53.
    View in: PubMed
    Score: 0.010
  28. 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.
    View in: PubMed
    Score: 0.010
  29. 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.
    View in: PubMed
    Score: 0.010
  30. 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.
    View in: PubMed
    Score: 0.009
  31. 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: 0.009
  32. [Status of radiological screening in the USA]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2005 Jun 20; 61(6):745-8.
    View in: PubMed
    Score: 0.009
  33. [Data: report from the JSRT sectional committee on medical imaging "recommended references on radiological imaging research"]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2004 Aug; 60(8):1085-100.
    View in: PubMed
    Score: 0.008
  34. Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules in chest radiographs: observer performance study. Acad Radiol. 2003 Nov; 10(11):1302-11.
    View in: PubMed
    Score: 0.008
  35. 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.
    View in: PubMed
    Score: 0.008
  36. [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: 0.007
  37. [Selection of Radiomic Features for the Classification of Triple-negative Breast Cancer Based on Radiogenomics]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2019; 75(1):24-31.
    View in: PubMed
    Score: 0.006
  38. [Computer-aided diagnosis with radiogenomics: Analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images]. Igaku Butsuri. 2019; 39(3):70-71.
    View in: PubMed
    Score: 0.006
  39. [Quantitation of Cerebral Atrophy due to Normal Aging: Principal Component Analysis with MR Images in Patients' Age Groups]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2018 12; 74(12):1389-1395.
    View in: PubMed
    Score: 0.006
  40. Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images. Radiol Phys Technol. 2018 Sep; 11(3):265-273.
    View in: PubMed
    Score: 0.005
  41. 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.
    View in: PubMed
    Score: 0.005
  42. Eigenspace template matching for detection of lacunar infarcts on MR images. J Digit Imaging. 2015 Feb; 28(1):116-22.
    View in: PubMed
    Score: 0.004
  43. Temporal subtraction method for lung nodule detection on successive thoracic CT soft-copy images. Radiology. 2014 Apr; 271(1):255-61.
    View in: PubMed
    Score: 0.004
  44. A computerized scheme for lung nodule detection in multiprojection chest radiography. Med Phys. 2012 Apr; 39(4):2001-12.
    View in: PubMed
    Score: 0.004
  45. Assessment of arterial hypervascularity of hepatocellular carcinoma: comparison of contrast-enhanced US and gadoxetate disodium-enhanced MR imaging. Eur Radiol. 2012 Jun; 22(6):1205-13.
    View in: PubMed
    Score: 0.003
  46. Ethnic difference in hematological toxicity in patients with non-small cell lung cancer treated with chemotherapy: a pooled analysis on Asian versus non-Asian in phase II and III clinical trials. J Thorac Oncol. 2011 Nov; 6(11):1881-8.
    View in: PubMed
    Score: 0.003
  47. 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: 0.003
  48. Evaluation of objective similarity measures for selecting similar images of mammographic lesions. J Digit Imaging. 2011 Feb; 24(1):75-85.
    View in: PubMed
    Score: 0.003
  49. [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.
    View in: PubMed
    Score: 0.003
  50. Analysis of intrahepatic vascular morphological changes of chronic liver disease for assessment of liver fibrosis stages by micro-flow imaging with contrast-enhanced ultrasound: preliminary experience. Eur Radiol. 2010 Nov; 20(11):2749-57.
    View in: PubMed
    Score: 0.003
  51. 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.
    View in: PubMed
    Score: 0.003
  52. Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms. Radiology. 2009 Dec; 253(3):625-31.
    View in: PubMed
    Score: 0.003
  53. 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.
    View in: PubMed
    Score: 0.003
  54. 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.
    View in: PubMed
    Score: 0.003
  55. 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: 0.003
  56. 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: 0.003
  57. 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: 0.003
  58. Investigation of psychophysical similarity measures for selection of similar images in the diagnosis of clustered microcalcifications on mammograms. Med Phys. 2008 Dec; 35(12):5695-702.
    View in: PubMed
    Score: 0.003
  59. 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.
    View in: PubMed
    Score: 0.003
  60. 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.
    View in: PubMed
    Score: 0.003
  61. An investigation of radiologists' perception of lesion similarity: observations with paired breast masses on mammograms and paired lung nodules on CT images. Acad Radiol. 2008 Jul; 15(7):887-94.
    View in: PubMed
    Score: 0.003
  62. Determination of subjective similarity for pairs of masses and pairs of clustered microcalcifications on mammograms: comparison of similarity ranking scores and absolute similarity ratings. Med Phys. 2007 Jul; 34(7):2890-5.
    View in: PubMed
    Score: 0.003
  63. Computerized detection of vertebral compression fractures on lateral chest radiographs: preliminary results with a tool for early detection of osteoporosis. Med Phys. 2006 Dec; 33(12):4664-74.
    View in: PubMed
    Score: 0.002
  64. Experimental determination of subjective similarity for pairs of clustered microcalcifications on mammograms: observer study results. Med Phys. 2006 Sep; 33(9):3460-8.
    View in: PubMed
    Score: 0.002
  65. Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology. 2005 Nov; 237(2):684-90.
    View in: PubMed
    Score: 0.002
  66. Computer-aided diagnosis in thoracic CT. Semin Ultrasound CT MR. 2005 Oct; 26(5):357-63.
    View in: PubMed
    Score: 0.002
  67. 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: 0.002
  68. False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network. Acad Radiol. 2005 Feb; 12(2):191-201.
    View in: PubMed
    Score: 0.002
  69. 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: 0.002
  70. 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.
    View in: PubMed
    Score: 0.002
  71. Computer-aided diagnosis in chest radiology. Semin Ultrasound CT MR. 2004 Oct; 25(5):432-7.
    View in: PubMed
    Score: 0.002
  72. 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: 0.002
  73. 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.
    View in: PubMed
    Score: 0.002
  74. 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.
    View in: PubMed
    Score: 0.002
  75. Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys. 2003 Sep; 30(9):2440-54.
    View in: PubMed
    Score: 0.002
  76. 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.
    View in: PubMed
    Score: 0.002
  77. [Development of an image processing scheme for chest radiographs using a dot printer]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Sep; 58(9):1268-77.
    View in: PubMed
    Score: 0.002
  78. Digital chest radiography: effect of temporal subtraction images on detection accuracy. Radiology. 1997 Feb; 202(2):447-52.
    View in: PubMed
    Score: 0.001
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.