Doi K - Search Results

1

Computer-aided diagnosis in chest radiology.

Abe H, Macmahon H, Shiraishi J, Li Q, Engelmann R, Doi K. Abe H, et al. Among authors: doi k. Semin Ultrasound CT MR. 2004 Oct;25(5):432-7. doi: 10.1053/j.sult.2004.02.004. Semin Ultrasound CT MR. 2004. PMID: 15559126 Review.

2

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.

Abe H, Ashizawa K, Katsuragawa S, MacMahon H, Doi K. Abe H, et al. Among authors: doi k. Acad Radiol. 2002 Jan;9(1):13-7. doi: 10.1016/s1076-6332(03)80291-x. Acad Radiol. 2002. PMID: 11918354

3

Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images.

Aoyama M, Li Q, Katsuragawa S, MacMahon H, Doi K. Aoyama M, et al. Among authors: doi k. Med Phys. 2002 May;29(5):701-8. doi: 10.1118/1.1469630. Med Phys. 2002. PMID: 12033565

4

Computer-aided diagnosis in chest radiography: results of large-scale observer tests at the 1996-2001 RSNA scientific assemblies.

Abe H, MacMahon H, Engelmann R, Li Q, Shiraishi J, Katsuragawa S, Aoyama M, Ishida T, Ashizawa K, Metz CE, Doi K. Abe H, et al. Among authors: doi k. Radiographics. 2003 Jan-Feb;23(1):255-65. doi: 10.1148/rg.231025129. Radiographics. 2003. PMID: 12533660

5

Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience.

Shiraishi J, Abe H, Engelmann R, Aoyama M, MacMahon H, Doi K. Shiraishi J, et al. Among authors: doi k. Radiology. 2003 May;227(2):469-74. doi: 10.1148/radiol.2272020498. Radiology. 2003. PMID: 12732700

6

Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules.

Li Q, Li F, Shiraishi J, Katsuragawa S, Sone S, Doi K. Li Q, et al. Among authors: doi k. Med Phys. 2003 Oct;30(10):2584-93. doi: 10.1118/1.1605351. Med Phys. 2003. PMID: 14596294

7

Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules in chest radiographs: observer performance study.

Shiraishi J, Abe H, Engelmann R, Doi K. Shiraishi J, et al. Among authors: doi k. Acad Radiol. 2003 Nov;10(11):1302-11. doi: 10.1016/s1076-6332(03)00463-x. Acad Radiol. 2003. PMID: 14626305

8

Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical cases.

Abe H, Ashizawa K, Li F, Matsuyama N, Fukushima A, Shiraishi J, MacMahon H, Doi K. Abe H, et al. Among authors: doi k. Acad Radiol. 2004 Jan;11(1):29-37. doi: 10.1016/s1076-6332(03)00572-5. Acad Radiol. 2004. PMID: 14746399

9

Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy.

Li F, Aoyama M, Shiraishi J, Abe H, Li Q, Suzuki K, Engelmann R, Sone S, Macmahon H, Doi K. Li F, et al. Among authors: doi k. AJR Am J Roentgenol. 2004 Nov;183(5):1209-15. doi: 10.2214/ajr.183.5.1831209. AJR Am J Roentgenol. 2004. PMID: 15505279

10

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.

Abe H, Ishida T, Shiraishi J, Li F, Katsuragawa S, Sone S, Macmahon H, Doi K. Abe H, et al. Among authors: doi k. Acad Radiol. 2004 Dec;11(12):1337-43. doi: 10.1016/j.acra.2004.08.010. Acad Radiol. 2004. PMID: 15596371

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