Okada T - Search Results

1

Quantitative imaging: quantification of liver shape on CT using the statistical shape model to evaluate hepatic fibrosis.

Hori M, Okada T, Higashiura K, Sato Y, Chen YW, Kim T, Onishi H, Eguchi H, Nagano H, Umeshita K, Wakasa K, Tomiyama N. Hori M, et al. Among authors: okada t. Acad Radiol. 2015 Mar;22(3):303-9. doi: 10.1016/j.acra.2014.10.001. Epub 2014 Dec 6. Acad Radiol. 2015. PMID: 25491738

2

Automated segmentation of the liver from 3D CT images using probabilistic atlas and multi-level statistical shape model.

Okada T, Shimada R, Sato Y, Hori M, Yokota K, Nakamoto M, Chen YW, Nakamura H, Tamura S. Okada T, et al. Med Image Comput Comput Assist Interv. 2007;10(Pt 1):86-93. doi: 10.1007/978-3-540-75757-3_11. Med Image Comput Comput Assist Interv. 2007. PMID: 18051047

3

Automated segmentation of the liver from 3D CT images using probabilistic atlas and multilevel statistical shape model.

Okada T, Shimada R, Hori M, Nakamoto M, Chen YW, Nakamura H, Sato Y. Okada T, et al. Acad Radiol. 2008 Nov;15(11):1390-403. doi: 10.1016/j.acra.2008.07.008. Acad Radiol. 2008. PMID: 18995190

4

Utilizing disease-specific organ shape components for disease discrimination: application to discrimination of chronic liver disease from CT data.

Mukherjee DP, Higashiura K, Okada T, Hori M, Chen YW, Tomiyama N, Sato Y. Mukherjee DP, et al. Among authors: okada t. Med Image Comput Comput Assist Interv. 2013;16(Pt 1):235-42. doi: 10.1007/978-3-642-40811-3_30. Med Image Comput Comput Assist Interv. 2013. PMID: 24505671

5

Construction of hierarchical multi-organ statistical atlases and their application to multi-organ segmentation from CT images.

Okada T, Yokota K, Hori M, Nakamoto M, Nakamura H, Sato Y. Okada T, et al. Med Image Comput Comput Assist Interv. 2008;11(Pt 1):502-9. doi: 10.1007/978-3-540-85988-8_60. Med Image Comput Comput Assist Interv. 2008. PMID: 18979784

6

Computer-assisted preoperative planning for reduction of proximal femoral fracture using 3-D-CT data.

Okada T, Iwasaki Y, Koyama T, Sugano N, Chen YW, Yonenobu K, Sato Y. Okada T, et al. IEEE Trans Biomed Eng. 2009 Mar;56(3):749-59. doi: 10.1109/TBME.2008.2005970. IEEE Trans Biomed Eng. 2009. PMID: 19389685

7

Multi-organ segmentation in abdominal CT images.

Okada T, Linguraru MG, Hori M, Suzuki Y, Summers RM, Tomiyama N, Sato Y. Okada T, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3986-9. doi: 10.1109/EMBC.2012.6346840. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366801 Free PMC article.

8

Abdominal multi-organ CT segmentation using organ correlation graph and prediction-based shape and location priors.

Okada T, Linguraru MG, Hori M, Summers RM, Tomiyama N, Sato Y. Okada T, et al. Med Image Comput Comput Assist Interv. 2013;16(Pt 3):275-82. doi: 10.1007/978-3-642-40760-4_35. Med Image Comput Comput Assist Interv. 2013. PMID: 24505771

9

Automated CT segmentation of diseased hip using hierarchical and conditional statistical shape models.

Yokota F, Okada T, Takao M, Sugano N, Tada Y, Tomiyama N, Sato Y. Yokota F, et al. Among authors: okada t. Med Image Comput Comput Assist Interv. 2013;16(Pt 2):190-7. doi: 10.1007/978-3-642-40763-5_24. Med Image Comput Comput Assist Interv. 2013. PMID: 24579140

10

Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.

Okada T, Linguraru MG, Hori M, Summers RM, Tomiyama N, Sato Y. Okada T, et al. Med Image Anal. 2015 Dec;26(1):1-18. doi: 10.1016/j.media.2015.06.009. Epub 2015 Jul 4. Med Image Anal. 2015. PMID: 26277022 Free PMC article.

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