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Kunio Doi to Observer Variation

This is a "connection" page, showing publications Kunio Doi has written about Observer Variation.

 
Connection Strength
 
 
 
3.198
 
  1. Doi K. [Quantitative evaluation of observer performance studies: importance and usefulness of psychophysical experiments]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2010 Nov 20; 66(11):1497-501.
    View in: PubMed
    Score: 0.366
  2. 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: 0.273
  3. 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: 0.193
  4. Muramatsu C, Schmidt RA, Shiraishi J, Endo T, Fujita H, Doi K. Usefulness of presentation of similar images in the diagnosis of breast masses on mammograms: comparison of observer performances in Japan and the USA. Radiol Phys Technol. 2013 Jan; 6(1):70-7.
    View in: PubMed
    Score: 0.103
  5. 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: 0.094
  6. Muramatsu C, Schmidt RA, Shiraishi J, Li Q, Doi K. Presentation of similar images as a reference for distinction between benign and malignant masses on mammograms: analysis of initial observer study. J Digit Imaging. 2010 Oct; 23(5):592-602.
    View in: PubMed
    Score: 0.086
  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: 0.082
  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: 0.081
  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: 0.081
  10. Muramatsu C, Li Q, Schmidt R, Shiraishi J, Doi K. 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: 0.080
  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: 0.078
  12. Shiraishi J, Appelbaum D, Pu Y, Li Q, Pesce L, Doi K. Usefulness of temporal subtraction images for identification of interval changes in successive whole-body bone scans: JAFROC analysis of radiologists' performance. Acad Radiol. 2007 Aug; 14(8):959-66.
    View in: PubMed
    Score: 0.073
  13. 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: 0.070
  14. 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: 0.070
  15. Li F, Li Q, Engelmann R, Aoyama M, Sone S, MacMahon H, Doi K. Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT. Acad Radiol. 2006 Aug; 13(8):943-50.
    View in: PubMed
    Score: 0.068
  16. 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: 0.068
  17. 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: 0.065
  18. Hirai T, Korogi Y, Arimura H, Katsuragawa S, Kitajima M, Yamura M, Yamashita Y, Doi K. Intracranial aneurysms at MR angiography: effect of computer-aided diagnosis on radiologists' detection performance. Radiology. 2005 Nov; 237(2):605-10.
    View in: PubMed
    Score: 0.064
  19. 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: 0.063
  20. 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: 0.063
  21. Abe H, Ishida T, Shiraishi J, Li F, Katsuragawa S, Sone S, Macmahon H, Doi K. 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: 0.061
  22. Li F, Aoyama M, Shiraishi J, Abe H, Li Q, Suzuki K, Engelmann R, Sone S, Macmahon H, Doi K. 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: 0.060
  23. Abe H, Ashizawa K, Li F, Matsuyama N, Fukushima A, Shiraishi J, MacMahon H, Doi K. Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical cases. Acad Radiol. 2004 Jan; 11(1):29-37.
    View in: PubMed
    Score: 0.057
  24. 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: 0.056
  25. 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: 0.056
  26. 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: 0.056
  27. 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: 0.055
  28. 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: 0.053
  29. 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: 0.052
  30. 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: 0.051
  31. 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: 0.050
  32. Matsuki Y, Nakamura K, Watanabe H, Aoki T, Nakata H, Katsuragawa S, Doi K. Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis. AJR Am J Roentgenol. 2002 Mar; 178(3):657-63.
    View in: PubMed
    Score: 0.050
  33. Uozumi T, Nakamura K, Watanabe H, Nakata H, Katsuragawa S, Doi K. ROC analysis of detection of metastatic pulmonary nodules on digital chest radiographs with temporal subtraction. Acad Radiol. 2001 Sep; 8(9):871-8.
    View in: PubMed
    Score: 0.048
  34. MacMahon H, Engelmann R, Behlen FM, Hoffmann KR, Ishida T, Roe C, Metz CE, Doi K. Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test. Radiology. 1999 Dec; 213(3):723-6.
    View in: PubMed
    Score: 0.043
  35. 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: 0.042
  36. 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: 0.041
  37. 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: 0.040
  38. 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: 0.039
  39. 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: 0.034
  40. Muramatsu C, Nishimura K, Endo T, Oiwa M, Shiraiwa M, Doi K, Fujita H. Representation of lesion similarity by use of multidimensional scaling for breast masses on mammograms. J Digit Imaging. 2013 Aug; 26(4):740-7.
    View in: PubMed
    Score: 0.028
  41. 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: 0.021
  42. 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: 0.019
  43. Matake K, Yoshimitsu K, Kumazawa S, Higashida Y, Irie H, Asayama Y, Nakayama T, Kakihara D, Katsuragawa S, Doi K, Honda H. Usefulness of artificial neural network for differential diagnosis of hepatic masses on CT images. Acad Radiol. 2006 Aug; 13(8):951-62.
    View in: PubMed
    Score: 0.017
  44. Samara Y, Fiebich M, Dachman AH, Kuniyoshi JK, Doi K, Hoffmann KR. Automated calculation of the centerline of the human colon on CT images. Acad Radiol. 1999 Jun; 6(6):352-9.
    View in: PubMed
    Score: 0.010
  45. 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: 0.007
  46. 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: 0.007
  47. 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: 0.007
  48. 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
  49. Chan HP, Doi K, Vyborny CJ, Schmidt RA, Metz CE, Lam KL, Ogura T, Wu YZ, MacMahon H. Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis. Invest Radiol. 1990 Oct; 25(10):1102-10.
    View in: PubMed
    Score: 0.006
  50. Giger ML, Doi K, MacMahon H, Metz CE, Yin FF. Pulmonary nodules: computer-aided detection in digital chest images. Radiographics. 1990 Jan; 10(1):41-51.
    View in: PubMed
    Score: 0.005
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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.