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Connection

Junji Shiraishi to Tomography, X-Ray Computed

This is a "connection" page, showing publications Junji Shiraishi has written about Tomography, X-Ray Computed.
Connection Strength

2.646
  1. Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network. Radiol Phys Technol. 2024 Mar; 17(1):83-92.
    View in: PubMed
    Score: 0.458
  2. [Application of Convolutional Neural Network for Evaluating CT Dose Using Image Noise Classification: A Phantom Study]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020; 76(11):1143-1151.
    View in: PubMed
    Score: 0.351
  3. [Image Evaluation with Paired Comparison Method Using Automatic Analysis Software: Comparison of CT Images with Simulated Levels of Exposure Dose]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2019; 75(1):32-39.
    View in: PubMed
    Score: 0.327
  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: 0.327
  5. A computer simulation method for low-dose CT images by use of real high-dose images: a phantom study. Radiol Phys Technol. 2016 Jan; 9(1):44-52.
    View in: PubMed
    Score: 0.259
  6. 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: 0.242
  7. Development of an individual display optimization system based on deep convolutional neural network transition learning for somatostatin receptor scintigraphy. Radiol Phys Technol. 2024 Mar; 17(1):195-206.
    View in: PubMed
    Score: 0.116
  8. [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: 0.094
  9. 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: 0.062
  10. 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: 0.058
  11. Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med. 2011 Nov; 41(6):449-62.
    View in: PubMed
    Score: 0.050
  12. [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: 0.047
  13. 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: 0.042
  14. 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: 0.041
  15. 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: 0.033
  16. Computer-aided diagnosis in thoracic CT. Semin Ultrasound CT MR. 2005 Oct; 26(5):357-63.
    View in: PubMed
    Score: 0.033
  17. 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: 0.031
  18. 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: 0.030
  19. Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys. 2003 Sep; 30(9):2440-54.
    View in: PubMed
    Score: 0.028
  20. 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: 0.010
  21. 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: 0.007
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.