Xian-Hua Han
Xian-Hua Han
Yamaguchi University, Faculty of Science
Verified email at yamaguchi-u.ac.jp
TitleCited byYear
Segmentation of liver and spleen based on computational anatomy models
C Dong, Y Chen, AH Foruzan, L Lin, X Han, T Tateyama, X Wu, G Xu, ...
Computers in biology and medicine 67, 146-160, 2015
High-order statistics of weber local descriptors for image representation
XH Han, YW Chen, G Xu
IEEE transactions on cybernetics 45 (6), 1180-1193, 2014
Multilinear supervised neighborhood embedding of a local descriptor tensor for scene/object recognition
XH Han, YW Chen, X Ruan
IEEE Transactions on Image Processing 21 (3), 1314-1326, 2011
Computer-aided diagnosis and quantification of cirrhotic livers based on morphological analysis and machine learning
YW Chen, J Luo, C Dong, X Han, T Tateyama, A Furukawa, S Kanasaki
Computational and mathematical methods in medicine 2013, 2013
Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images
Y Xu, L Lin, H Hu, D Wang, W Zhu, J Wang, XH Han, YW Chen
International journal of computer assisted radiology and surgery 13 (1), 151-164, 2018
High-order statistics of microtexton for hep-2 staining pattern classification
XH Han, J Wang, G Xu, YW Chen
IEEE Transactions on Biomedical Engineering 61 (8), 2223-2234, 2014
An ICA-based method for Poisson noise reduction
XH Han, YW Chen, Z Nakao
International Conference on Knowledge-Based and Intelligent Information and …, 2003
HEp-2 cell classification using K-support spatial pooling in deep CNNs
XH Han, J Lei, YW Chen
Deep Learning and Data Labeling for Medical Applications, 3-11, 2016
Color independent components based SIFT descriptors for object/scene classification
D Ai, X Han, X Ruan, Y Chen
IEICE transactions on information and systems 93 (9), 2577-2586, 2010
An ICA-domain shrinkage based poisson-noise reduction algorithm and its application to penumbral imaging
XH Han, Z Nakao, YW Chen, R Kodama
IEICE transactions on information and systems 88 (4), 750-757, 2005
Super-resolution of MR volumetric images using sparse representation and self-similarity
Y Iwamoto, XH Han, S Sasatani, K Taniguchi, W Xiong, YW Chen
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
Robust edge detection by independent component analysis in noisy images
XH Han, YW Chen, Z Nakao
IEICE transactions on information and systems 87 (9), 2204-2211, 2004
Simultaneous segmentation of multiple organs using random walks
C Dong, YW Chen, L Lin, H Hu, C Jin, H Yu, XH Han, T Tateyama
Journal of Information Processing 24 (2), 320-329, 2016
Enhancement and detection of lung nodules with multiscale filters in CT images
S Takemura, X Han, YW Chen, K Ito, I Nishikwa, M Ito
2008 International Conference on Intelligent Information Hiding and …, 2008
Combining convolutional and recurrent neural networks for classification of focal liver lesions in multi-phase CT images
D Liang, L Lin, H Hu, Q Zhang, Q Chen, X Han, YW Chen
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains
T Kitrungrotsakul, XH Han, YW Chen
2015 IEEE International Conference on Image Processing (ICIP), 3368-3371, 2015
Detection of liver tumor candidates from CT images using deep convolutional neural networks
Y Todoroki, XH Han, Y Iwamoto, L Lin, H Hu, YW Chen
International Conference on Innovation in Medicine and Healthcare, 140-145, 2017
Example-based super-resolution using locally linear embedding
K Taniguchi, M Ohashi, XH Han, Y Iwamoto, S Sasatani, YW Chen
2011 6th International Conference on Computer Sciences and Convergence …, 2011
Biomedical imaging modality classification using combined visual features and textual terms
XH Han, YW Chen
International journal of biomedical imaging 2011, 2011
Adaptive color independent components based sift descriptors for image classification
D Ai, X Han, X Ruan, YW Chen
2010 20th International Conference on Pattern Recognition, 2436-2439, 2010
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