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Kunio Doi to Algorithms

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

 
Connection Strength
 
 
 
2.954
 
  1. 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: 0.203
  2. 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: 0.203
  3. 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: 0.193
  4. 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: 0.165
  5. 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: 0.159
  6. 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: 0.158
  7. 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: 0.157
  8. 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: 0.144
  9. 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: 0.138
  10. 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: 0.136
  11. 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: 0.133
  12. Muramatsu S, Sato K, Yamashiro T, Doi K. Quantitative measurements of emphysema in ultra-high resolution computed tomography using model-based iterative reconstruction in comparison to that using hybrid iterative reconstruction. Phys Eng Sci Med. 2022 Mar; 45(1):115-124.
    View in: PubMed
    Score: 0.123
  13. 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: 0.098
  14. Bick U, Giger ML, Schmidt RA, Nishikawa RM, Wolverton DE, Doi K. Automated segmentation of digitized mammograms. Acad Radiol. 1995 Jan; 2(1):1-9.
    View in: PubMed
    Score: 0.076
  15. 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: 0.068
  16. 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: 0.063
  17. Shiraishi J, Li Q, Appelbaum D, Doi K. Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med. 2011 Nov; 41(6):449-62.
    View in: PubMed
    Score: 0.061
  18. 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: 0.060
  19. 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: 0.053
  20. 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: 0.051
  21. 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: 0.050
  22. 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: 0.044
  23. Li Q, Doi K. Comparison of typical evaluation methods for computer-aided diagnostic schemes: Monte Carlo simulation study. Med Phys. 2007 Mar; 34(3):871-6.
    View in: PubMed
    Score: 0.044
  24. 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: 0.043
  25. 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: 0.043
  26. 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: 0.041
  27. 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: 0.034
  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: 0.033
  29. 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: 0.031
  30. 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: 0.030
  31. 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: 0.028
  32. Doi K, Imai H. Sequencing by hybridization in the presence of hybridization errors. Genome Inform Ser Workshop Genome Inform. 2000; 11:53-62.
    View in: PubMed
    Score: 0.027
  33. 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: 0.025
  34. Bick U, Giger ML, Schmidt RA, Nishikawa RM, Doi K. Density correction of peripheral breast tissue on digital mammograms. Radiographics. 1996 Nov; 16(6):1403-11.
    View in: PubMed
    Score: 0.021
  35. 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: 0.011
  36. Armato SG, Giger ML, Moran CJ, Blackburn JT, Doi K, MacMahon H. Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999 Sep-Oct; 19(5):1303-11.
    View in: PubMed
    Score: 0.007
  37. Chan HP, Doi K, Galhotra S, Vyborny CJ, MacMahon H, Jokich PM. Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography. Med Phys. 1987 Jul-Aug; 14(4):538-48.
    View in: PubMed
    Score: 0.003
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.