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Shigeru Nawano
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Publications
- 2017
- [j15]Atsushi Saito, Seiji Yamamoto, Shigeru Nawano, Akinobu Shimizu:
Automated liver segmentation from a postmortem CT scan based on a statistical shape model. Int. J. Comput. Assist. Radiol. Surg. 12(2): 205-221 (2017) - [j14]Atsushi Saito, Shigeru Nawano, Akinobu Shimizu:
Fast approximation for joint optimization of segmentation, shape, and location priors, and its application in gallbladder segmentation. Int. J. Comput. Assist. Radiol. Surg. 12(5): 743-756 (2017) - 2016
- [j13]Atsushi Saito, Shigeru Nawano, Akinobu Shimizu:
Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs. Medical Image Anal. 28: 46-65 (2016) - 2014
- [j12]Atsushi Saito, Akinobu Shimizu, Hidefumi Watanabe, Seiji Yamamoto, Shigeru Nawano, Hidefumi Kobatake:
Statistical shape model of a liver for autopsy imaging. Int. J. Comput. Assist. Radiol. Surg. 9(2): 269-281 (2014) - [j11]Shun Umetsu, Akinobu Shimizu, Hidefumi Watanabe, Hidefumi Kobatake, Shigeru Nawano:
An Automated Segmentation Algorithm for CT Volumes of Livers with Atypical Shapes and Large Pathological Lesions. IEICE Trans. Inf. Syst. 97-D(4): 951-963 (2014) - [j10]Sho Tomoshige, Elco Oost, Akinobu Shimizu, Hidefumi Watanabe, Shigeru Nawano:
A conditional statistical shape model with integrated error estimation of the conditions; Application to liver segmentation in non-contrast CT images. Medical Image Anal. 18(1): 130-143 (2014) - 2013
- [j9]Akinobu Shimizu, Takuya Narihira, Hidefumi Kobatake, Daisuke Furukawa, Shigeru Nawano, Kenji Shinozaki:
Ensemble Learning Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography. IEICE Trans. Inf. Syst. 96-D(4): 864-868 (2013) - [c32]Reito Oshima, Atsushi Saito, Hidefumi Watanabe, Akinobu Shimizu, Shigeru Nawano:
Relaxed Conditional Hierarchical Statistical Shape Model of Multiple Organs. CANDAR 2013: 288-293 - [c29]Atsushi Saito, Misaki Nakada, Elco Oost, Akinobu Shimizu, Hidefumi Watanabe, Shigeru Nawano:
A Statistical Shape Model for Multiple Organs Based on Synthesized-Based Learning. Abdominal Imaging 2013: 280-289 - 2012
- [c26]Sho Tomoshige, Elco Oost, Akinobu Shimizu, Hidefumi Watanabe, Hidefumi Kobatake, Shigeru Nawano:
Relaxed Conditional Statistical Shape Models and Their Application to Non-contrast Liver Segmentation. Abdominal Imaging 2012: 126-136 - 2010
- [j8]Akinobu Shimizu, Tatsuya Kimoto, Hidefumi Kobatake, Shigeru Nawano, Kenji Shinozaki:
Automated pancreas segmentation from three-dimensional contrast-enhanced computed tomography. Int. J. Comput. Assist. Radiol. Surg. 5(1): 85-98 (2010) - [c22]Akinobu Shimizu, Keita Nakagomi, Takuya Narihira, Hidefumi Kobatake, Shigeru Nawano, Kenji Shinozaki, Koichi Ishizu, Kaori Togashi:
Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts. MCV 2010: 214-223 - 2009
- [j7]Mitsutaka Nemoto, Soshi Honmura, Akinobu Shimizu, Daisuke Furukawa, Hidefumi Kobatake, Shigeru Nawano:
A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows. Int. J. Comput. Assist. Radiol. Surg. 4(1): 27-36 (2009) - 2008
- [j6]Ludvík Tesar, Akinobu Shimizu, Daniel Smutek, Hidefumi Kobatake, Shigeru Nawano:
Medical image analysis of 3D CT images based on extension of Haralick texture features. Comput. Medical Imaging Graph. 32(6): 513-520 (2008) - 2007
- [j5]Akinobu Shimizu, Rena Ohno, Takaya Ikegami, Hidefumi Kobatake, Shigeru Nawano, Daniel Smutek:
Segmentation of multiple organs in non-contrast 3D abdominal CT images. Int. J. Comput. Assist. Radiol. Surg. 2(3-4): 135-142 (2007) - 2006
- [j4]Mitsutaka Nemoto, Akinobu Shimizu, Yoshihiro Hagihara, Hidefumi Kobatake, Shigeru Nawano:
Improvement of tumor detection performance in mammograms by feature selection from a large number of features and proposal of fast feature selection method. Syst. Comput. Jpn. 37(12): 56-68 (2006) - [c13]Daniel Smutek, Akinobu Shimizu, Ludvík Tesar, Hidefumi Kobatake, Shigeru Nawano, Stepán Svacina:
Automatic Internal Medicine Diagnostics Using Statistical Imaging Methods. CBMS 2006: 405-412 - [c11]Mitsutaka Nemoto, Akinobu Shimizu, Hidefumi Kobatake, Hideya Takeo, Shigeru Nawano:
Study on Cascade Classification in Abnormal Shadow Detection for Mammograms. Digital Mammography / IWDM 2006: 324-331 - [c10]Daniel Smutek, Akinobu Shimizu, Ludvík Tesar, Hidefumi Kobatake, Shigeru Nawano:
Artificial Intelligence Methods Application in Liver Diseases Classification from CT Images. PRIS 2006: 146-155 - [c9]Daniel Smutek, Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano, Ludvík Tesar:
Texture Analysis of Hepatocellular Carcinoma and Liver Cysts in CT Images. SPPRA 2006: 56-59 - 2004
- [j3]Xuebin Hu, Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano:
ICA Mixture Analysis of Four-Phase Abdominal CT Images. IEICE Trans. Inf. Syst. 87-D(11): 2521-2525 (2004) - [j2]Sachiko Furuya, Jun Wei, Yoshihiro Hagihara, Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano:
Improvement of performance to discriminate malignant tumors from normal tissue on mammograms by feature selection and evaluation of feature selection criteria. Syst. Comput. Jpn. 35(7): 72-84 (2004) - [c8]Akinobu Shimizu, Shigeru Nawano:
Preliminary report of competition for liver region extraction algorithms from three-dimensional CT images. CARS 2004: 1361 - [c7]Xuebin Hu, Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano:
Applying ICA Mixture Analysis for Segmenting Liver from Multi-phase Abdominal CT Images. MIAR 2004: 54-61 - [c6]Xuebin Hu, Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano:
Independent Component Analysis of Four-Phase Abdominal CT Images. MICCAI (2) 2004: 916-924
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last updated on 2023-09-27 22:48 CEST by the dblp team
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