Aoyama M - Search Results

1

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. Med Phys. 2002 May;29(5):701-8. doi: 10.1118/1.1469630. Med Phys. 2002. PMID: 12033565

2

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

3

Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images.

Aoyama M, Li Q, Katsuragawa S, Li F, Sone S, Doi K. Aoyama M, et al. Med Phys. 2003 Mar;30(3):387-94. doi: 10.1118/1.1543575. Med Phys. 2003. PMID: 12674239

4

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: aoyama m. Radiology. 2003 May;227(2):469-74. doi: 10.1148/radiol.2272020498. Radiology. 2003. PMID: 12732700

5

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: aoyama m. AJR Am J Roentgenol. 2004 Nov;183(5):1209-15. doi: 10.2214/ajr.183.5.1831209. AJR Am J Roentgenol. 2004. PMID: 15505279

6

Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT.

Li F, Li Q, Engelmann R, Aoyama M, Sone S, MacMahon H, Doi K. Li F, et al. Among authors: aoyama m. Acad Radiol. 2006 Aug;13(8):943-50. doi: 10.1016/j.acra.2006.04.010. Acad Radiol. 2006. PMID: 16843846

7

[Development of an image processing scheme for chest radiographs using a dot printer].

Shimosegawa M, Aoyama M, Li Q, Abe H, Li F, Shiraishi J, Doi K. Shimosegawa M, et al. Among authors: aoyama m. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Sep;58(9):1268-77. doi: 10.6009/jjrt.kj00001364807. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002. PMID: 12520223 Japanese.

8

[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].

Shimosegawa M, Aoyama M, Li Q, Abe H, Li F, Shiraishi J, Doi K. Shimosegawa M, et al. Among authors: aoyama m. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2003 May;59(5):619-20. doi: 10.6009/jjrt.kj00000921799. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2003. PMID: 12881690 Japanese. No abstract available.

9

A simple method for accurate liver volume estimation by use of curve-fitting: a pilot study.

Aoyama M, Nakayama Y, Awai K, Inomata Y, Yamashita Y. Aoyama M, et al. Radiol Phys Technol. 2013 Jan;6(1):180-6. doi: 10.1007/s12194-012-0186-x. Epub 2012 Nov 11. Radiol Phys Technol. 2013. PMID: 23143712

10

Low-dose contrast protocol using the test bolus technique for 64-detector computed tomography coronary angiography.

Nakaura T, Awai K, Yanaga Y, Namimoto T, Utsunomiya D, Hirai T, Sugiyama S, Ogawa H, Aoyama M, Yamashita Y. Nakaura T, et al. Among authors: aoyama m. Jpn J Radiol. 2011 Aug;29(7):457-65. doi: 10.1007/s11604-011-0579-5. Epub 2011 Sep 1. Jpn J Radiol. 2011. PMID: 21882087 Clinical Trial.

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