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Connection

Junji Shiraishi to Diagnosis, Computer-Assisted

This is a "connection" page, showing publications Junji Shiraishi has written about Diagnosis, Computer-Assisted.
Connection Strength

3.122
  1. [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: 0.372
  2. [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: 0.338
  3. Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med. 2011 Nov; 41(6):449-62.
    View in: PubMed
    Score: 0.334
  4. 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: 0.262
  5. [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: 0.255
  6. Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs. Acad Radiol. 2007 Jan; 14(1):28-37.
    View in: PubMed
    Score: 0.239
  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: 0.231
  8. 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: 0.194
  9. 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: 0.185
  10. [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: 0.137
  11. [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: 0.137
  12. 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: 0.131
  13. 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: 0.111
  14. 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: 0.055
  15. Computer-aided diagnosis in chest radiology. Semin Ultrasound CT MR. 2004 Oct; 25(5):432-7.
    View in: PubMed
    Score: 0.051
  16. 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: 0.045
  17. 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: 0.017
  18. 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: 0.015
  19. 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
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.