Min Zhang
Min Zhang
Kyoto Univ., Japan
Verified email at mailst.xjtu.edu.cn
Title
Cited by
Cited by
Year
Blind image quality assessment using the joint statistics of generalized local binary pattern
M Zhang, C Muramatsu, X Zhou, T Hara, H Fujita
IEEE Signal Processing Letters 22 (2), 207-210, 2014
972014
Non-shift edge based ratio (NSER): An image quality assessment metric based on early vision features
M Zhang, X Mou, L Zhang
IEEE Signal Processing Letters 18 (5), 315-318, 2011
572011
No reference image quality assessment based on local binary pattern statistics
M Zhang, J Xie, X Zhou, H Fujita
2013 Visual Communications and Image Processing (VCIP), 1-6, 2013
262013
Reduced reference image quality assessment based on statistics of edge
M Zhang, W Xue, X Mou
Digital Photography VII 7876, 787611, 2011
262011
A psychovisual image quality metric based on multi-scale structure similarity
M Zhang, X Mou
2008 15th IEEE International Conference on Image Processing, 381-384, 2008
182008
Nonlinear multi-scale contrast enhancement for x-ray chest radiography
M Zhang, X Mou
Journal of Xi'an Jiaotong University 44 (6), 83-87, 2010
162010
Image quality assessment based on edge
X Mou, M Zhang, W Xue, L Zhang
Digital Photography VII 7876, 78760N, 2011
142011
A technique for extending dynamic range of medical x-ray image
Y Yang, X Mou, M Zhang, W HONG
Journal of Xi’an Jiaotong University 42 (12), 1468-1471, 2008
122008
一种多尺度 X 射线胸片图像增强算法
张敏, 牟轩沁
西安交通大学学报 44 (6), 83-87, 2010
102010
Local binary pattern statistics feature for reduced reference image quality assessment
M Zhang, X Mou, H Fujita, L Zhang, X Zhou, W Xue
Digital Photography IX 8660, 86600L, 2013
92013
Nonlinear multi-scale contrast enhancement for chest radiograph
X Mou, M Zhang
2008 15th IEEE International Conference on Image Processing, 3184-3187, 2008
92008
A novel contrast equalization method for chest radiograph
M Zhang, X Mou, Y Long
Medical Imaging 2006: Image Processing 6144, 61446R, 2006
92006
Pulmonary emphysema classification based on an improved texton learning model by sparse representation
M Zhang, X Zhou, S Goshima, H Chen, C Muramatsu, T Hara, ...
Medical Imaging 2013: Computer-Aided Diagnosis 8670, 86700F, 2013
72013
一种医学 X 射线图像动态范围扩展方法
杨莹, 牟轩沁, 张敏, 洪伟
西安交通大学学报 42 (12), 1468-1471, 2008
72008
Classification of cirrhotic liver on MR images using texture analysis
G Lee, X Zhang, M Kanematsu, X Zhou, T Hara, H Kato, H Kondo, H Fujita, ...
20th International Congress and Exhibition, Computer Assisted Radiology and …, 2006
72006
An automatic early stage alveolar-bone-resorption evaluation method on digital dental panoramic radiographs
M Zhang, A Katsumata, C Muramatsu, T Hara, H Suzuki, H Fujita
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 90353G, 2014
62014
Model construction for computational anatomy: progress overview FY2009-FY2013
H Fujita, T Hara, X Zhou, C Muramatsu, N Kamiya, M Zhang, D Fukuoka, ...
Proc. of the Fifth International Symposium on the Project “Computational …, 2014
62014
A01-3 Model construction for computational anatomy: Progress overview FY2010
H Fujita, T Hara, X Zhou, X Zhang, T Hayashi, N Kamiya, H Chen, H Hoshi
Proc. of the Second International Symposium on the Project “Computational …, 2013
52013
An application to pulmonary emphysema classification based on model of texton learning by sparse representation
M Zhang, X Zhou, S Goshima, H Chen, C Muramatsu, T Hara, ...
Medical Imaging 2012: Computer-Aided Diagnosis 8315, 831534, 2012
42012
Artificial neural network method for differentiation of focal liver disease in MR imaging
N Kako, X Zhang, W Li, M Kanematsu, H Fujita, T Hara
Radiology 225, 646-646, 2002
42002
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Articles 1–20