Xuejun Zhang

发表

Application of an artificial neural network to the computer-aided differentiation of focal liver disease in MR imaging

H. Fujita, Xuejun Zhang, M. Kanematsu, 2009, Radiological physics and technology.

Staging hepatic fibrosis: Computer‐aided analysis of hepatic contours on gadolinium ethoxybenzyl diethylenetriaminepentaacetic acid‐enhanced hepatocyte‐phase magnetic resonance imaging

H. Fujita, Xuejun Zhang, M. Kanematsu, 2012, Hepatology.

Computer-aided diagnosis of hepatic fibrosis: preliminary evaluation of MRI texture analysis using the finite difference method and an artificial neural network.

H. Fujita, Xuejun Zhang, M. Kanematsu, 2007, AJR. American journal of roentgenology.

Image diagnosis based on morphological and architectural change: CAD scheme for cerebral and liver diseases on magnetic resonance imaging

H. Fujita, Xuejun Zhang, Y. Uchiyama, 2011 .

Automatic Segmentation of Hepatic Tissue and 3D Volume Analysis of Cirrhosis in Multi-Detector Row CT Scans and MR Imaging

Xiangrong Zhou, Hiroshi Fujita, Wenguang Li, 2004, IEICE Trans. Inf. Syst..

Differentiation of cirrhosis by using 3D hepatic volume ratio of LTW in multi-detector row CT scans and MR imaging

H. Fujita, Xuejun Zhang, M. Kanematsu, 2005 .

Development of an automated method for detection of lacunar infarct regions on brain MR images

Xiangrong Zhou, Hiroshi Fujita, Takeshi Hara, 2005 .

Improving the Detection of Microcalcifications in Masses by Artificial Neural Networks

Hiroshi Fujita, Xuejun Zhang, Takeshi Hara, 2000 .

An atlas-driven approach for automated recognition of liver structure in non-contrasted torso CT images

Xiangrong Zhou, Hiroshi Fujita, Takeshi Hara, 2007 .

Quantitative measurement of fibrosis by morphological features

H. Fujita, Xuejun Zhang, Xiangrong Zhou, 2013 .

An I ntroduction and Survey of Computer-aided D etection / D iagnosis ( CAD )

H. Fujita, Xuejun Zhang, Xiangrong Zhou, 2011 .

A Novel Method for Mass Measurement by Quantitative Image Deformation

Xuejun Zhang, Chan Liang, Huan Lao, 2020 .

Effect of Training Artificial Neural Networks on 2D Image: An Example Study on Mammography

Hiroshi Fujita, Xuejun Zhang, Jing Chen, 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?

Wen Yan, Hiroshi Fujita, Xin Gao, 2015, Comput. Medical Imaging Graph..

Non-rigid registration of multi-phase liver CT data using fully automated landmark detection and TPS deformation

Xiangrong Zhou, Hiroshi Fujita, Xin Gao, 2018, Cluster Computing.

CAD on Liver Using CT and MRI

Xiangrong Zhou, Hiroshi Fujita, Tuanfa Qin, 2007, MIMI.

Automated segmentation of hepatic vessels in non-contrast X-ray CT images

Xiangrong Zhou, Hiroshi Fujita, Takeshi Hara, 2008, Radiological physics and technology.

Development of an Automated Method for the Detection of Chronic Lacunar Infarct Regions in Brain MR Images

Xiangrong Zhou, Hiroshi Fujita, Takeshi Hara, 2007, IEICE Trans. Inf. Syst..

Detection of metastatic liver tumor in multi-phase CT images by using a spherical gray-level differentiation searching filter

Xiangrong Zhou, Hiroshi Fujita, Takeshi Hara, 2011, Medical Imaging.

Staging hepatic fibrosis: Computer‐aided analysis of hepatic contours on gadolinium ethoxybenzyl diethylenetriaminepentaacetic acid‐enhanced hepatocyte‐phase magnetic resonance imaging

H. Fujita, Xuejun Zhang, M. Kanematsu, 2012, Hepatology.

Online system for staging hepatic fibrosis

Huan Lao, Binmei Liang, Dongbo Wu, 2021, Other Conferences.

Non-Invasive Assessment of Hepatic Fibrosis by Elastic Measurement of Liver Using Magnetic Resonance Tagging Images

Hiroshi Fujita, Takeshi Hara, Xiangrong Zhou, 2018 .

Constructing a Probabilistic Model for Automated Liver Region Segmentation Using Non-contrast X-Ray Torso CT images

Xiangrong Zhou, Hiroshi Fujita, Takeshi Hara, 2006, MICCAI.