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Connection

Kunio Doi to Lung Diseases

This is a "connection" page, showing publications Kunio Doi has written about Lung Diseases.

 
Connection Strength
 
 
 
2.341
 
  1. Kakeda S, Kamada K, Hatakeyama Y, Aoki T, Korogi Y, Katsuragawa S, Doi K. Effect of temporal subtraction technique on interpretation time and diagnostic accuracy of chest radiography. AJR Am J Roentgenol. 2006 Nov; 187(5):1253-9.
    View in: PubMed
    Score: 0.269
  2. Doi K. Current status and future potential of computer-aided diagnosis in medical imaging. Br J Radiol. 2005; 78 Spec No 1:S3-S19.
    View in: PubMed
    Score: 0.237
  3. Abe H, Macmahon H, Shiraishi J, Li Q, Engelmann R, Doi K. Computer-aided diagnosis in chest radiology. Semin Ultrasound CT MR. 2004 Oct; 25(5):432-7.
    View in: PubMed
    Score: 0.233
  4. Arimura H, Katsuragawa S, Suzuki K, Li F, Shiraishi J, Sone S, Doi K. 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: 0.227
  5. Uchiyama Y, Katsuragawa S, Abe H, Shiraishi J, Li F, Li Q, Zhang CT, Suzuki K, Doi K. Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys. 2003 Sep; 30(9):2440-54.
    View in: PubMed
    Score: 0.216
  6. Shiraishi J, Abe H, Engelmann R, Aoyama M, MacMahon H, Doi K. 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: 0.211
  7. Kakeda S, Nakamura K, Kamada K, Watanabe H, Nakata H, Katsuragawa S, Doi K. Improved detection of lung nodules by using a temporal subtraction technique. Radiology. 2002 Jul; 224(1):145-51.
    View in: PubMed
    Score: 0.199
  8. Aoyama M, Li Q, Katsuragawa S, MacMahon H, Doi K. Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images. Med Phys. 2002 May; 29(5):701-8.
    View in: PubMed
    Score: 0.197
  9. Wang J, Li F, Doi K, Li Q. Computerized detection of diffuse lung disease in MDCT: the usefulness of statistical texture features. Phys Med Biol. 2009 Nov 21; 54(22):6881-99.
    View in: PubMed
    Score: 0.083
  10. Shiraishi J, Li F, Doi K. 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: 0.068
  11. Ohtsuka R, Shutoh Y, Fujie H, Yamaguchi S, Takeda M, Harada T, Doi K. Changes in histology and expression of cytokines and chemokines in the rat lung following exposure to ovalbumin. Exp Toxicol Pathol. 2005 Apr; 56(6):361-8.
    View in: PubMed
    Score: 0.060
  12. Li F, Sone S, Abe H, Macmahon H, Doi K. Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings. Radiology. 2004 Dec; 233(3):793-8.
    View in: PubMed
    Score: 0.058
  13. Fukushima A, Ashizawa K, Yamaguchi T, Matsuyama N, Hayashi H, Kida I, Imafuku Y, Egawa A, Kimura S, Nagaoki K, Honda S, Katsuragawa S, Doi K, Hayashi K. Application of an artificial neural network to high-resolution CT: usefulness in differential diagnosis of diffuse lung disease. AJR Am J Roentgenol. 2004 Aug; 183(2):297-305.
    View in: PubMed
    Score: 0.058
  14. Nakamura K, Yoshida H, Engelmann R, MacMahon H, Katsuragawa S, Ishida T, Ashizawa K, Doi K. Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks. Radiology. 2000 Mar; 214(3):823-30.
    View in: PubMed
    Score: 0.042
  15. Sugimoto T, Kaseno K, Uraoka T, Doi K. [Uremic pulmonary diseases and pericarditis]. Nihon Rinsho. 1972 Dec; 30(12):2490-4.
    View in: PubMed
    Score: 0.026
  16. MacMahon H, Montner SM, Doi K, Liu KJ. The nature and subtlety of abnormal findings in chest radiographs. Med Phys. 1991 Mar-Apr; 18(2):206-10.
    View in: PubMed
    Score: 0.023
  17. MacMahon H, Doi K, Sanada S, Montner SM, Giger ML, Metz CE, Nakamori N, Yin FF, Xu XW, Yonekawa H, et al. Data compression: effect on diagnostic accuracy in digital chest radiography. Radiology. 1991 Jan; 178(1):175-9.
    View in: PubMed
    Score: 0.022
  18. Asada N, Doi K, MacMahon H, Montner SM, Giger ML, Abe C, Wu Y. Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study. Radiology. 1990 Dec; 177(3):857-60.
    View in: PubMed
    Score: 0.022
  19. MacMahon H, Doi K, Chan HP, Giger ML, Katsuragawa S, Nakamori N. Computer-aided diagnosis in chest radiology. J Thorac Imaging. 1990 Jan; 5(1):67-76.
    View in: PubMed
    Score: 0.021
  20. Powell GF, Doi K, Katsuragawa S. Localization of inter-rib spaces for lung texture analysis and computer-aided diagnosis in digital chest images. Med Phys. 1988 Jul-Aug; 15(4):581-7.
    View in: PubMed
    Score: 0.019
  21. Katsuragawa S, Doi K, MacMahon H. 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.
    View in: PubMed
    Score: 0.019
  22. Armato SG, Roy AS, Macmahon H, Li F, Doi K, Sone S, Altman MB. Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1). Acad Radiol. 2005 Mar; 12(3):337-46.
    View in: PubMed
    Score: 0.015
  23. Abe K, Doi K, MacMahon H, Giger ML, Jia H, Chen X, Kano A, Yanagisawa T. Computer-aided diagnosis in chest radiography. Preliminary experience. Invest Radiol. 1993 Nov; 28(11):987-93.
    View in: PubMed
    Score: 0.007
  24. Giger ML, Doi K, MacMahon H, Nishikawa RM, Hoffmann KR, Vyborny CJ, Schmidt RA, Jia H, Abe K, Chen X, et al. An "intelligent" workstation for computer-aided diagnosis. Radiographics. 1993 May; 13(3):647-56.
    View in: PubMed
    Score: 0.007
  25. MacMahon H, Vyborny CJ, Metz CE, Doi K, Sabeti V, Solomon SL. Digital radiography of subtle pulmonary abnormalities: an ROC study of the effect of pixel size on observer performance. Radiology. 1986 Jan; 158(1):21-6.
    View in: PubMed
    Score: 0.004
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.