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Kunio Doi to Sensitivity and Specificity

This is a "connection" page, showing publications Kunio Doi has written about Sensitivity and Specificity.

 
Connection Strength
 
 
 
2.501
 
  1. Shiraishi J, Appelbaum D, Pu Y, Engelmann R, Li Q, Doi K. 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: 0.077
  2. Yamada A, Hara T, Li F, Fujinaga Y, Ueda K, Kadoya M, Doi K. Quantitative evaluation of liver function with use of gadoxetate disodium-enhanced MR imaging. Radiology. 2011 Sep; 260(3):727-33.
    View in: PubMed
    Score: 0.076
  3. Nagashima H, Iwasaki T, Sunaga S, Gokan T, Fujii M, Sato K, Negishi T, Shiraishi A, Ogura T, Doi K. [Quantitative evaluation of low contrast detectability in a brain computed tomography: investigation for the effect of window width on recognition of hyperacute ischemic stroke]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2011; 67(11):1408-14.
    View in: PubMed
    Score: 0.074
  4. Sugimoto K, Shiraishi J, Moriyasu F, Saito K, Doi K. 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: 0.065
  5. Sugimoto K, Shiraishi J, Moriyasu F, Doi K. 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: 0.065
  6. Muramatsu C, Li Q, Schmidt RA, Shiraishi J, Doi K. 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: 0.065
  7. Li F, Kumazawa S, Shiraishi J, Li Q, Engelmann R, Caligiuri P, MacMahon H, Doi K. 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: 0.065
  8. Shiraishi J, Abe H, Ichikawa K, Schmidt RA, Doi K. 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: 0.065
  9. Kitajima M, Hirai T, Katsuragawa S, Okuda T, Fukuoka H, Sasao A, Akter M, Awai K, Nakayama Y, Ikeda R, Yamashita Y, Yano S, Kuratsu J, Doi K. Differentiation of common large sellar-suprasellar masses effect of artificial neural network on radiologists' diagnosis performance. Acad Radiol. 2009 Mar; 16(3):313-20.
    View in: PubMed
    Score: 0.065
  10. Kasai S, Li F, Shiraishi J, Doi K. 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: 0.062
  11. Kumazawa S, Muramatsu C, Li Q, Li F, Shiraishi J, Caligiuri P, Schmidt RA, MacMahon H, Doi K. 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: 0.062
  12. Li Q, Li F, Doi K. Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier. Acad Radiol. 2008 Feb; 15(2):165-75.
    View in: PubMed
    Score: 0.060
  13. Kakeda S, Korogi Y, Arimura H, Hirai T, Katsuragawa S, Aoki T, Doi K. Diagnostic accuracy and reading time to detect intracranial aneurysms on MR angiography using a computer-aided diagnosis system. AJR Am J Roentgenol. 2008 Feb; 190(2):459-65.
    View in: PubMed
    Score: 0.060
  14. 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: 0.056
  15. Shiraishi J, Li Q, Appelbaum D, Pu Y, Doi K. 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: 0.056
  16. Nakayama R, Watanabe R, Namba K, Takeda K, Yamamoto K, Katsuragawa S, Doi K. Computer-aided diagnosis scheme for identifying histological classification of clustered microcalcifications by use of follow-up magnification mammograms. Acad Radiol. 2006 Oct; 13(10):1219-28.
    View in: PubMed
    Score: 0.055
  17. Muramatsu C, Li Q, Schmidt R, Suzuki K, Shiraishi J, Newstead G, Doi K. 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: 0.054
  18. Suzuki K, Abe H, MacMahon H, Doi K. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans Med Imaging. 2006 Apr; 25(4):406-16.
    View in: PubMed
    Score: 0.053
  19. Li Q, Doi K. Reduction of bias and variance for evaluation of computer-aided diagnostic schemes. Med Phys. 2006 Apr; 33(4):868-75.
    View in: PubMed
    Score: 0.053
  20. Li Q, Doi K. Analysis and minimization of overtraining effect in rule-based classifiers for computer-aided diagnosis. Med Phys. 2006 Feb; 33(2):320-8.
    View in: PubMed
    Score: 0.052
  21. Arimura H, Li Q, Korogi Y, Hirai T, Katsuragawa S, Yamashita Y, Tsuchiya K, Doi K. Computerized detection of intracranial aneurysms for three-dimensional MR angiography: feature extraction of small protrusions based on a shape-based difference image technique. Med Phys. 2006 Feb; 33(2):394-401.
    View in: PubMed
    Score: 0.052
  22. Li F, Arimura H, Suzuki K, Shiraishi J, Li Q, Abe H, Engelmann R, Sone S, MacMahon H, Doi K. 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: 0.051
  23. Suzuki K, Doi K. How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT? Acad Radiol. 2005 Oct; 12(10):1333-41.
    View in: PubMed
    Score: 0.051
  24. Suzuki K, Li F, Sone S, Doi K. Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. IEEE Trans Med Imaging. 2005 Sep; 24(9):1138-50.
    View in: PubMed
    Score: 0.051
  25. Muramatsu C, Li Q, Suzuki K, Schmidt RA, Shiraishi J, Newstead GM, Doi K. 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: 0.050
  26. Suzuki K, Shiraishi J, Abe H, MacMahon H, Doi K. 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: 0.049
  27. Arimura H, Li Q, Korogi Y, Hirai T, Abe H, Yamashita Y, Katsuragawa S, Ikeda R, Doi K. Automated computerized scheme for detection of unruptured intracranial aneurysms in three-dimensional magnetic resonance angiography. Acad Radiol. 2004 Oct; 11(10):1093-104.
    View in: PubMed
    Score: 0.048
  28. Nakayama R, Uchiyama Y, Watanabe R, Katsuragawa S, Namba K, Doi K. Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms. Med Phys. 2004 Apr; 31(4):789-99.
    View in: PubMed
    Score: 0.046
  29. Shiraishi J, Abe H, Engelmann R, Doi K. 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: 0.045
  30. 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: 0.044
  31. Suzuki K, Armato SG, Li F, Sone S, Doi K. Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med Phys. 2003 Jul; 30(7):1602-17.
    View in: PubMed
    Score: 0.044
  32. Shimosegawa M, Aoyama M, Li Q, Abe H, Li F, Shiraishi J, Doi K. [Report on the 88th Scientific Assembly and Annual Meeting of the Radiological Society of North America: development of an image processing scheme for chest radiographs by using a dot printer]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2003 May; 59(5):619-20.
    View in: PubMed
    Score: 0.043
  33. Aoyama M, Li Q, Katsuragawa S, Li F, Sone S, Doi K. Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images. Med Phys. 2003 Mar; 30(3):387-94.
    View in: PubMed
    Score: 0.043
  34. Armato SG, Li F, Giger ML, MacMahon H, Sone S, Doi K. Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
    View in: PubMed
    Score: 0.042
  35. Masutani Y, MacMahon H, Doi K. Computerized detection of pulmonary embolism in spiral CT angiography based on volumetric image analysis. IEEE Trans Med Imaging. 2002 Dec; 21(12):1517-23.
    View in: PubMed
    Score: 0.042
  36. Shimosegawa M, Aoyama M, Li Q, Abe H, Li F, Shiraishi J, Doi K. [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: 0.041
  37. Jiang Y, Nishikawa RM, Schmidt RA, Toledano AY, Doi K. Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology. 2001 Sep; 220(3):787-94.
    View in: PubMed
    Score: 0.038
  38. 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: 0.035
  39. Ashizawa K, Ishida T, MacMahon H, Vyborny CJ, Katsuragawa S, Doi K. Artificial neural networks in chest radiography: application to the differential diagnosis of interstitial lung disease. Acad Radiol. 1999 Jan; 6(1):2-9.
    View in: PubMed
    Score: 0.032
  40. Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K. Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol. 1999 Jan; 6(1):22-33.
    View in: PubMed
    Score: 0.032
  41. Jeong KI, Uetsuka K, Nakayama H, Doi K. Glycoconjugate expression in follicle-associated epithelium (FAE) covering the nasal-associated lymphoid tissue (NALT) in specific pathogen-free and conventional rats. Exp Anim. 1999 Jan; 48(1):23-9.
    View in: PubMed
    Score: 0.032
  42. Anastasio MA, Yoshida H, Nagel R, Nishikawa RM, Doi K. A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms. Med Phys. 1998 Sep; 25(9):1613-20.
    View in: PubMed
    Score: 0.031
  43. Nagel RH, Nishikawa RM, Papaioannou J, Doi K. Analysis of methods for reducing false positives in the automated detection of clustered microcalcifications in mammograms. Med Phys. 1998 Aug; 25(8):1502-6.
    View in: PubMed
    Score: 0.031
  44. Huo Z, Giger ML, Vyborny CJ, Wolverton DE, Schmidt RA, Doi K. Automated computerized classification of malignant and benign masses on digitized mammograms. Acad Radiol. 1998 Mar; 5(3):155-68.
    View in: PubMed
    Score: 0.030
  45. Ishida T, Katsuragawa S, Kobayashi T, MacMahon H, Doi K. Computerized analysis of interstitial disease in chest radiographs: improvement of geometric-pattern feature analysis. Med Phys. 1997 Jun; 24(6):915-24.
    View in: PubMed
    Score: 0.029
  46. Difazio MC, MacMahon H, Xu XW, Tsai P, Shiraishi J, Armato SG, Doi K. Digital chest radiography: effect of temporal subtraction images on detection accuracy. Radiology. 1997 Feb; 202(2):447-52.
    View in: PubMed
    Score: 0.028
  47. Jiang Y, Nishikawa RM, Wolverton DE, Metz CE, Giger ML, Schmidt RA, Vyborny CJ, Doi K. Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology. 1996 Mar; 198(3):671-8.
    View in: PubMed
    Score: 0.026
  48. Monnier-Cholley L, MacMahon H, Katsuragawa S, Morishita J, Doi K. Computerized analysis of interstitial infiltrates on chest radiographs: a new scheme based on geometric pattern features and Fourier analysis. Acad Radiol. 1995 Jun; 2(6):455-62.
    View in: PubMed
    Score: 0.025
  49. Guo W, Li Q, Boyce SJ, McAdams HP, Shiraishi J, Doi K, Samei E. A computerized scheme for lung nodule detection in multiprojection chest radiography. Med Phys. 2012 Apr; 39(4):2001-12.
    View in: PubMed
    Score: 0.020
  50. 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: 0.017
  51. Li F, Engelmann R, Doi K, Macmahon H. True detection versus "accidental" detection of small lung cancer by a computer-aided detection (CAD) program on chest radiographs. J Digit Imaging. 2010 Feb; 23(1):66-72.
    View in: PubMed
    Score: 0.016
  52. Li F, Engelmann R, Metz CE, Doi K, MacMahon H. Lung cancers missed on chest radiographs: results obtained with a commercial computer-aided detection program. Radiology. 2008 Jan; 246(1):273-80.
    View in: PubMed
    Score: 0.015
  53. 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: 0.012
  54. Armato SG, Altman MB, Wilkie J, Sone S, Li F, Doi K, Roy AS. Automated lung nodule classification following automated nodule detection on CT: a serial approach. Med Phys. 2003 Jun; 30(6):1188-97.
    View in: PubMed
    Score: 0.011
  55. van Ginneken B, Katsuragawa S, ter Haar Romeny BM, Doi K, Viergever MA. Automatic detection of abnormalities in chest radiographs using local texture analysis. IEEE Trans Med Imaging. 2002 Feb; 21(2):139-49.
    View in: PubMed
    Score: 0.010
  56. Sueyoshi K, Narabayashi I, Doi K, Takahashi M, Komori T, Tatsu Y, Tatsumi T, Utunomiya K, Uesugi Y, Adachi I, Shimizu T. Tc-99m PMT whole-body scintigraphy for evaluated of therapeutic effect and for monitoring bone metastasis in a patient with hepatocellular carcinoma. Clin Nucl Med. 2000 Dec; 25(12):1000-3.
    View in: PubMed
    Score: 0.009
  57. Katsuragawa S, Doi K, MacMahon H, Monnier-Cholley L, Ishida T, Kobayashi T. Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks. J Digit Imaging. 1997 Aug; 10(3):108-14.
    View in: PubMed
    Score: 0.007
  58. Abe K, Doi K, Katsuragawa S, Yanagisawa T. [Preliminary clinical evaluation of computer-aided diagnosis in digital chest radiography]. Nihon Igaku Hoshasen Gakkai Zasshi. 1994 Mar 25; 54(4):245-52.
    View in: PubMed
    Score: 0.006
  59. Matsumoto T, Doi K, Kano A, Nakamura H, Nakanishi T. [Evaluation of the potential benefit of computer-aided diagnosis (CAD) for lung cancer screenings using photofluorography: analysis of an observer study]. Nihon Igaku Hoshasen Gakkai Zasshi. 1993 Oct 25; 53(10):1195-207.
    View in: PubMed
    Score: 0.006
  60. Mizobe T, Yamasaki H, Doi K, Ando M, Onoue K. Analysis of serotype-specific antibodies to Trichosporon cutaneum types I and II in patients with summer-type hypersensitivity pneumonitis with monoclonal antibodies to serotype-related polysaccharide antigens. J Clin Microbiol. 1993 Jul; 31(7):1949-51.
    View in: PubMed
    Score: 0.005
  61. Yin FF, Giger ML, Vyborny CJ, Doi K, Schmidt RA. Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses. Invest Radiol. 1993 Jun; 28(6):473-81.
    View in: PubMed
    Score: 0.005
  62. Wu Y, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology. 1993 Apr; 187(1):81-7.
    View in: PubMed
    Score: 0.005
  63. Matsumoto T, Yoshimura H, Giger ML, Doi K, MacMahon H, Montner SM, Nakanishi T. Potential usefulness of computerized nodule detection in screening programs for lung cancer. Invest Radiol. 1992 Jun; 27(6):471-5.
    View in: PubMed
    Score: 0.005
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.