Loading...
The University of Chicago Header Logo
Keywords
Last Name
Institution

Connection

Kunio Doi to Radiography, Thoracic

This is a "connection" page, showing publications Kunio Doi has written about Radiography, Thoracic.

 
Connection Strength
 
 
 
12.428
 
  1. Hayashi N, Taniguchi A, Noto K, Shimosegawa M, Ogura T, Doi K. [Development of a digital chest phantom for studies on energy subtraction techniques]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2014 Mar; 70(3):191-8.
    View in: PubMed
    Score: 0.451
  2. Toge R, Morishita J, Sasaki Y, Doi K. Computerized image-searching method for finding correct patients for misfiled chest radiographs in a PACS server by use of biological fingerprints. Radiol Phys Technol. 2013 Jul; 6(2):437-43.
    View in: PubMed
    Score: 0.430
  3. Li F, Hara T, Shiraishi J, Engelmann R, MacMahon H, Doi K. 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: 0.371
  4. Itai Y, Kim H, Ishikawa S, Katsuragawa S, Doi K. Development of a voxel-matching technique for substantial reduction of subtraction artifacts in temporal subtraction images obtained from thoracic MDCT. J Digit Imaging. 2010 Feb; 23(1):31-8.
    View in: PubMed
    Score: 0.313
  5. 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: 0.305
  6. Katsuragawa S, Doi K. Computer-aided diagnosis in chest radiography. Comput Med Imaging Graph. 2007 Jun-Jul; 31(4-5):212-23.
    View in: PubMed
    Score: 0.279
  7. Sakai S, Yabuuchi H, Matsuo Y, Okafuji T, Kamitani T, Honda H, Yamamoto K, Fujiwara K, Sugiyama N, Doi K. Integration of temporal subtraction and nodule detection system for digital chest radiographs into picture archiving and communication system (PACS): four-year experience. J Digit Imaging. 2008 Mar; 21(1):91-8.
    View in: PubMed
    Score: 0.278
  8. 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: 0.275
  9. Sakai S, Soeda H, Takahashi N, Okafuji T, Yoshitake T, Yabuuchi H, Yoshino I, Yamamoto K, Honda H, Doi K. Computer-aided nodule detection on digital chest radiography: validation test on consecutive T1 cases of resectable lung cancer. J Digit Imaging. 2006 Dec; 19(4):376-82.
    View in: PubMed
    Score: 0.273
  10. Kasai S, Li F, Shiraishi J, Li Q, Doi K. 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: 0.273
  11. 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: 0.272
  12. Shiraishi J, Li Q, Suzuki K, Engelmann R, Doi K. 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: 0.265
  13. 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: 0.261
  14. 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: 0.252
  15. Li Q, Li F, Suzuki K, Shiraishi J, Abe H, Engelmann R, Nie Y, MacMahon H, Doi K. Computer-aided diagnosis in thoracic CT. Semin Ultrasound CT MR. 2005 Oct; 26(5):357-63.
    View in: PubMed
    Score: 0.252
  16. Ikeda R, Katsuragawa S, Shimonobou T, Hashida M, Yamashita Y, Doi K. [Report on the 90th Scientific Assembly and Annual Meeting of the Radiological Society of North America-- Comparison of LCD and CRT monitors for detection of pulmonary nodules and interstitial lung diseases on digital chest radiographs by using receiver operating characteristic analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2005 Jul 20; 61(7):974-5.
    View in: PubMed
    Score: 0.248
  17. 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: 0.241
  18. Morishita J, Watanabe H, Katsuragawa S, Oda N, Sukenobu Y, Okazaki H, Nakata H, Doi K. Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs. Acad Radiol. 2005 Jan; 12(1):97-103.
    View in: PubMed
    Score: 0.239
  19. 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: 0.235
  20. Morishita J, Katsuragawa S, Sasaki Y, Doi K. Potential usefulness of biological fingerprints in chest radiographs for automated patient recognition and identification. Acad Radiol. 2004 Mar; 11(3):309-15.
    View in: PubMed
    Score: 0.226
  21. Higashida Y, Ideguchi T, Muranaka T, Tabata N, Miyajima R, Akazawa F, Ikeda H, Morimoto K, Ohki M, Toyofuku F, Doi K. [ROC analysis of detection of interval changes in interstitial lung diseases on digital chest radiographs using the temporal subtraction technique]. Nihon Igaku Hoshasen Gakkai Zasshi. 2004 Jan; 64(1):35-40.
    View in: PubMed
    Score: 0.223
  22. 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: 0.221
  23. Li Q, Li F, Shiraishi J, Katsuragawa S, Sone S, Doi K. 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: 0.219
  24. Kondo K, Morishita J, Katsuragawa S, Doi K. [Development of an automated patient-recognition method for digital chest radiographs using edge-enhanced images]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2003 Oct; 59(10):1277-84.
    View in: PubMed
    Score: 0.219
  25. 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: 0.213
  26. Abe H, MacMahon H, Engelmann R, Li Q, Shiraishi J, Katsuragawa S, Aoyama M, Ishida T, Ashizawa K, Metz CE, Doi K. 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: 0.208
  27. 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: 0.203
  28. Arimura H, Ishida T, Katsuragawa S, Kawashita I, Doi K. [Development of a computerized method for identifying view position and orientation for chest radiographs by using a template matching technique]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Aug; 58(8):1047-54.
    View in: PubMed
    Score: 0.202
  29. Arimura H, Katsuragawa S, Li Q, Ishida T, Doi K. Development of a computerized method for identifying the posteroanterior and lateral views of chest radiographs by use of a template matching technique. Med Phys. 2002 Jul; 29(7):1556-61.
    View in: PubMed
    Score: 0.201
  30. 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: 0.199
  31. Li Q, Katsuragawa S, Doi K. Computer-aided diagnostic scheme for lung nodule detection in digital chest radiographs by use of a multiple-template matching technique. Med Phys. 2001 Oct; 28(10):2070-6.
    View in: PubMed
    Score: 0.191
  32. Morishita J, Katsuragawa S, Kondo K, Doi K. An automated patient recognition method based on an image-matching technique using previous chest radiographs in the picture archiving and communication system environment. Med Phys. 2001 Jun; 28(6):1093-7.
    View in: PubMed
    Score: 0.187
  33. Li Q, Katsuragawa S, Doi K. Improved contralateral subtraction images by use of elastic matching technique. Med Phys. 2000 Aug; 27(8):1934-42.
    View in: PubMed
    Score: 0.176
  34. Shiraishi J, Katsuragawa S, Ikezoe J, Matsumoto T, Kobayashi T, Komatsu K, Matsui M, Fujita H, Kodera Y, Doi K. Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. AJR Am J Roentgenol. 2000 Jan; 174(1):71-4.
    View in: PubMed
    Score: 0.169
  35. Li Q, Katsuragawa S, Ishida T, Yoshida H, Tsukuda S, MacMahon H, Doi K. Contralateral subtraction: a novel technique for detection of asymmetric abnormalities on digital chest radiographs. Med Phys. 2000 Jan; 27(1):47-55.
    View in: PubMed
    Score: 0.169
  36. Katsuragawa S, Tagashira H, Li Q, MacMahon H, Doi K. Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography. J Digit Imaging. 1999 Nov; 12(4):166-72.
    View in: PubMed
    Score: 0.167
  37. Doi K, MacMahon H, Katsuragawa S, Nishikawa RM, Jiang Y. Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol. 1999 Aug; 31(2):97-109.
    View in: PubMed
    Score: 0.164
  38. Ishida T, Katsuragawa S, Nakamura K, MacMahon H, Doi K. Iterative image warping technique for temporal subtraction of sequential chest radiographs to detect interval change. Med Phys. 1999 Jul; 26(7):1320-9.
    View in: PubMed
    Score: 0.163
  39. Ishida T, Ashizawa K, Engelmann R, Katsuragawa S, MacMahon H, Doi K. Application of temporal subtraction for detection of interval changes on chest radiographs: improvement of subtraction images using automated initial image matching. J Digit Imaging. 1999 May; 12(2):77-86.
    View in: PubMed
    Score: 0.161
  40. 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: 0.158
  41. Ishida T, Katsuragawa S, Ashizawa K, MacMahon H, Doi K. Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease. J Digit Imaging. 1998 Nov; 11(4):182-92.
    View in: PubMed
    Score: 0.156
  42. 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: 0.141
  43. 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: 0.138
  44. Xu XW, Doi K. Image feature analysis for computer-aided diagnosis: detection of right and left hemidiaphragm edges and delineation of lung field in chest radiographs. Med Phys. 1996 Sep; 23(9):1613-24.
    View in: PubMed
    Score: 0.134
  45. 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: 0.123
  46. Xu XW, Doi K. Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs. Med Phys. 1995 May; 22(5):617-26.
    View in: PubMed
    Score: 0.122
  47. Doi K, Giger ML, MacMahon H, Hoffmann KR, Nishikawa RM, Schmidt RA, Chua KG, Katsuragawa S, Nakamori N, Sanada S, et al. Computer-aided diagnosis: development of automated schemes for quantitative analysis of radiographic images. Semin Ultrasound CT MR. 1992 Apr; 13(2):140-52.
    View in: PubMed
    Score: 0.099
  48. 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: 0.099
  49. Li F, Engelmann R, Pesce LL, Doi K, Metz CE, Macmahon H. Small lung cancers: improved detection by use of bone suppression imaging--comparison with dual-energy subtraction chest radiography. Radiology. 2011 Dec; 261(3):937-49.
    View in: PubMed
    Score: 0.095
  50. MacMahon H, Doi K. Digital chest radiography. Clin Chest Med. 1991 Mar; 12(1):19-32.
    View in: PubMed
    Score: 0.092
  51. 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: 0.084
  52. 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: 0.081
  53. Lam KL, Chan HP, Doi K. Optical image processing with liquid-crystal display for image intensifier/television systems. Med Phys. 1988 Nov-Dec; 15(6):838-45.
    View in: PubMed
    Score: 0.078
  54. Li F, Engelmann R, Doi K, MacMahon H. Improved detection of small lung cancers with dual-energy subtraction chest radiography. AJR Am J Roentgenol. 2008 Apr; 190(4):886-91.
    View in: PubMed
    Score: 0.075
  55. Sakai S, Soeda H, Furuya A, Yabuuchi H, Okafuji T, Yamamoto K, Honda H, Doi K. Evaluation of the image quality of temporal subtraction images produced automatically in a PACS environment. J Digit Imaging. 2006 Dec; 19(4):383-90.
    View in: PubMed
    Score: 0.068
  56. Shiraishi J, Abe H, Li F, Engelmann R, MacMahon H, Doi K. 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: 0.067
  57. 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: 0.063
  58. Kakeda S, Moriya J, Sato H, Aoki T, Watanabe H, Nakata H, Oda N, Katsuragawa S, Yamamoto K, Doi K. Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. AJR Am J Roentgenol. 2004 Feb; 182(2):505-10.
    View in: PubMed
    Score: 0.056
  59. Li Q, Sone S, Doi K. Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. Med Phys. 2003 Aug; 30(8):2040-51.
    View in: PubMed
    Score: 0.054
  60. Beiden SV, Wagner RF, Doi K, Nishikawa RM, Freedman M, Lo SC, Xu XW. Independent versus sequential reading in ROC studies of computer-assist modalities: analysis of components of variance. Acad Radiol. 2002 Sep; 9(9):1036-43.
    View in: PubMed
    Score: 0.051
  61. Tsukuda S, Heshiki A, Katsuragawa S, Li Q, MacMahon H, Doi K. Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction technique. Radiology. 2002 Apr; 223(1):199-203.
    View in: PubMed
    Score: 0.049
  62. Abe H, Ashizawa K, Katsuragawa S, MacMahon H, Doi K. Use of an artificial neural network to determine the diagnostic value of specific clinical and radiologic parameters in the diagnosis of interstitial lung disease on chest radiographs. Acad Radiol. 2002 Jan; 9(1):13-7.
    View in: PubMed
    Score: 0.049
  63. Doi K, Toda G, Iliev II, Hayano M, Yano K. Clinical analysis of hypertrophic cardiomyopathy which evolved into dilated phase during long-term follow-up. Jpn Heart J. 1999 Sep; 40(5):579-87.
    View in: PubMed
    Score: 0.041
  64. Ashizawa K, MacMahon H, Ishida T, Nakamura K, Vyborny CJ, Katsuragawa S, Doi K. Effect of an artificial neural network on radiologists' performance in the differential diagnosis of interstitial lung disease using chest radiographs. AJR Am J Roentgenol. 1999 May; 172(5):1311-5.
    View in: PubMed
    Score: 0.040
  65. Xu XW, Doi K, Kobayashi T, MacMahon H, Giger ML. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images. Med Phys. 1997 Sep; 24(9):1395-403.
    View in: PubMed
    Score: 0.036
  66. 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: 0.036
  67. Katsuragawa S, Doi K, MacMahon H, Monnier-Cholley L, Morishita J, Ishida T. Quantitative analysis of geometric-pattern features of interstitial infiltrates in digital chest radiographs: preliminary results. J Digit Imaging. 1996 Aug; 9(3):137-44.
    View in: PubMed
    Score: 0.033
  68. Kobayashi T, Xu XW, MacMahon H, Metz CE, Doi K. Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. Radiology. 1996 Jun; 199(3):843-8.
    View in: PubMed
    Score: 0.033
  69. Morishita J, Doi K, Katsuragawa S, Monnier-Cholley L, MacMahon H. Computer-aided diagnosis for interstitial infiltrates in chest radiographs: optical-density dependence of texture measures. Med Phys. 1995 Sep; 22(9):1515-22.
    View in: PubMed
    Score: 0.031
  70. Wu YC, Doi K, Giger ML. Detection of lung nodules in digital chest radiographs using artificial neural networks: a pilot study. J Digit Imaging. 1995 May; 8(2):88-94.
    View in: PubMed
    Score: 0.031
  71. Doi K, Giger ML, Nishikawa RM, Hoffmann KR, MacMahon H, Schmidt RA. Potential usefulness of digital imaging in clinical diagnostic radiology: computer-aided diagnosis. J Digit Imaging. 1995 Feb; 8(1 Suppl 1):2-7.
    View in: PubMed
    Score: 0.030
  72. Wu YC, Doi K, Giger ML, Metz CE, Zhang W. Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme. J Digit Imaging. 1994 Nov; 7(4):196-207.
    View in: PubMed
    Score: 0.030
  73. Morishita J, MacMahon H, Doi K, Carlin M, Sukenobu Y. Evaluation of an asymmetric screen-film system for chest radiography. Med Phys. 1994 Nov; 21(11):1769-75.
    View in: PubMed
    Score: 0.030
  74. Hoffmann KR, Doi K, MacMahon H, Giger ML, Nishikawa RM, Xu XW, Yao L, Kano A, Carlin M. Development of a digital duplication system for portable chest radiographs. J Digit Imaging. 1994 Aug; 7(3):146-53.
    View in: PubMed
    Score: 0.029
  75. 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: 0.028
  76. Kano A, Doi K, MacMahon H, Hassell DD, Giger ML. Digital image subtraction of temporally sequential chest images for detection of interval change. Med Phys. 1994 Mar; 21(3):453-61.
    View in: PubMed
    Score: 0.028
  77. Hoffmann KR, MacMahon H, Doi K, Metz CE, Yao L, Abe K. Evaluation of an enhanced digital film-duplication system by receiver operating characteristic analysis. Invest Radiol. 1993 Dec; 28(12):1134-8.
    View in: PubMed
    Score: 0.028
  78. 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: 0.028
  79. Chen X, Doi K, Katsuragawa S, MacMahon H. Automated selection of regions of interest for quantitative analysis of lung textures in digital chest radiographs. Med Phys. 1993 Jul-Aug; 20(4):975-82.
    View in: PubMed
    Score: 0.027
  80. Sanada S, Doi K, MacMahon H. Image feature analysis and computer-aided diagnosis in digital radiography: automated detection of pneumothorax in chest images. Med Phys. 1992 Sep-Oct; 19(5):1153-60.
    View in: PubMed
    Score: 0.025
  81. Sanada S, Doi K, MacMahon H. Image feature analysis and computer-aided diagnosis in digital radiography: automated delineation of posterior ribs in chest images. Med Phys. 1991 Sep-Oct; 18(5):964-71.
    View in: PubMed
    Score: 0.024
  82. Nakamori N, Doi K, MacMahon H, Sasaki Y, Montner S. Effect of heart-size parameters computed from digital chest radiographs on detection of cardiomegaly. Potential usefulness for computer-aided diagnosis. Invest Radiol. 1991 Jun; 26(6):546-50.
    View in: PubMed
    Score: 0.023
  83. 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
  84. 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: 0.023
  85. Giger ML, Ahn N, Doi K, MacMahon H, Metz CE. Computerized detection of pulmonary nodules in digital chest images: use of morphological filters in reducing false-positive detections. Med Phys. 1990 Sep-Oct; 17(5):861-5.
    View in: PubMed
    Score: 0.022
  86. Nakamori N, Doi K, Sabeti V, MacMahon H. Image feature analysis and computer-aided diagnosis in digital radiography: automated analysis of sizes of heart and lung in chest images. Med Phys. 1990 May-Jun; 17(3):342-50.
    View in: PubMed
    Score: 0.022
  87. 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
  88. Katsuragawa S, Doi K, Nakamori N, MacMahon H. Image feature analysis and computer-aided diagnosis in digital radiography: effect of digital parameters on the accuracy of computerized analysis of interstitial disease in digital chest radiographs. Med Phys. 1990 Jan-Feb; 17(1):72-8.
    View in: PubMed
    Score: 0.021
  89. Fraser RG, Sanders C, Barnes GT, MacMahon H, Giger ML, Doi K, Templeton AW, Cox GG, Dwyer SJ, Merritt CR, et al. Digital imaging of the chest. Radiology. 1989 May; 171(2):297-307.
    View in: PubMed
    Score: 0.020
  90. Doi K. [Digital radiography: fundamentals and future potentials]. Nihon Igaku Hoshasen Gakkai Zasshi. 1989 Jan 25; 49(1):1-14.
    View in: PubMed
    Score: 0.020
  91. MacMahon H, Metz CE, Doi K, Kim T, Giger ML, Chan HP. Digital chest radiography: effect on diagnostic accuracy of hard copy, conventional video, and reversed gray scale video display formats. Radiology. 1988 Sep; 168(3):669-73.
    View in: PubMed
    Score: 0.019
  92. 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
  93. 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: 0.018
  94. Fujita H, Doi K, MacMahon H, Kume Y, Giger ML, Hoffmann KR, Katafuchi T, Ohara K, Chan HP. Basic imaging properties of a large image intensifier-TV digital chest radiographic system. Invest Radiol. 1987 Apr; 22(4):328-35.
    View in: PubMed
    Score: 0.017
  95. Doi K, Frank PH, Chan HP, Vyborny CJ, Makino S, Iida N, Carlin M. Physical and clinical evaluation of new high-strip-density radiographic grids. Radiology. 1983 May; 147(2):575-82.
    View in: PubMed
    Score: 0.013
  96. MacMahon H, Xu XW, Hoffmann KR, Giger ML, Yoshimura H, Doi K, Carlin M, Kano A, Yao L, Abe K, et al. Clinical experience with an advanced laser digitizer for cost-effective digital radiography. Radiographics. 1993 May; 13(3):635-45; discussion 645-6.
    View in: PubMed
    Score: 0.007
  97. 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
  98. Sanada S, Doi K, Xu XW, Yin FF, Giger ML, MacMahon H. Comparison of imaging properties of a computed radiography system and screen-film systems. Med Phys. 1991 May-Jun; 18(3):414-20.
    View in: PubMed
    Score: 0.006
  99. MacMahon H, Sanada S, Doi K, Giger M, Xu XW, Yin FF, Montner SM, Carlin M. Direct comparison of conventional and computed radiography with a dual-image recording technique. Radiographics. 1991 Mar; 11(2):259-68.
    View in: PubMed
    Score: 0.006
  100. 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: 0.005
  101. Higashida Y, Doi K, Lehr JL, MacMahon H. Dual-film cassette technique for studying the effect of radiographic image quality on diagnostic accuracy. Med Phys. 1984 Sep-Oct; 11(5):646-52.
    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.