Katsuragawa S - Search Results

1

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: katsuragawa s. Acad Radiol. 2002 Jan;9(1):13-7. doi: 10.1016/s1076-6332(03)80291-x. Acad Radiol. 2002. PMID: 11918354

2

Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction technique.

Tsukuda S, Heshiki A, Katsuragawa S, Li Q, MacMahon H, Doi K. Tsukuda S, et al. Among authors: katsuragawa s. Radiology. 2002 Apr;223(1):199-203. doi: 10.1148/radiol.2231010344. Radiology. 2002. PMID: 11930067

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: katsuragawa s. 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: katsuragawa s. Radiographics. 2003 Jan-Feb;23(1):255-65. doi: 10.1148/rg.231025129. Radiographics. 2003. PMID: 12533660

5

Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography.

Uchiyama Y, Katsuragawa S, Abe H, Shiraishi J, Li F, Li Q, Zhang CT, Suzuki K, Doi K. Uchiyama Y, et al. Among authors: katsuragawa s. Med Phys. 2003 Sep;30(9):2440-54. doi: 10.1118/1.1597431. Med Phys. 2003. PMID: 14528966

6

Improved detection of lung cancer arising in diffuse lung diseases on chest radiographs using temporal subtraction.

Okazaki H, Nakamura K, Watanabe H, Matsuki Y, Uozumi T, Kakeda S, Kamada K, Oda N, Nakata H, Katsuragawa S, Doi K. Okazaki H, et al. Among authors: katsuragawa s. Acad Radiol. 2004 May;11(5):498-505. doi: 10.1016/S1076-6332(03)00820-1. Acad Radiol. 2004. PMID: 15147614

7

Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening.

Arimura H, Katsuragawa S, Suzuki K, Li F, Shiraishi J, Sone S, Doi K. Arimura H, et al. Among authors: katsuragawa s. Acad Radiol. 2004 Jun;11(6):617-29. doi: 10.1016/j.acra.2004.02.009. Acad Radiol. 2004. PMID: 15172364

8

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: katsuragawa s. Acad Radiol. 2004 Dec;11(12):1337-43. doi: 10.1016/j.acra.2004.08.010. Acad Radiol. 2004. PMID: 15596371

9

Usefulness of artificial neural network for differential diagnosis of hepatic masses on CT images.

Matake K, Yoshimitsu K, Kumazawa S, Higashida Y, Irie H, Asayama Y, Nakayama T, Kakihara D, Katsuragawa S, Doi K, Honda H. Matake K, et al. Among authors: katsuragawa s. Acad Radiol. 2006 Aug;13(8):951-62. doi: 10.1016/j.acra.2006.04.009. Acad Radiol. 2006. PMID: 16843847

10

Differentiation of common large sellar-suprasellar masses effect of artificial neural network on radiologists' diagnosis performance.

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. Kitajima M, et al. Among authors: katsuragawa s. Acad Radiol. 2009 Mar;16(3):313-20. doi: 10.1016/j.acra.2008.09.015. Acad Radiol. 2009. PMID: 19201360

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