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ORCIDNeurocomputing, Volume 229
Volume 229, March 2017
- Yuanjie Zheng, Shaoting Zhang
, Junzhou Huang, Weidong Cai:
Guest Editorial: Special issue on advances in computing techniques for big medical image data. 1-2 - Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen:
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. 3-12 - Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina C. Sanelli:
TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion. 13-22 - Fei Jiang, Huating Li, Xuhong Hou, Bin Sheng, Ruimin Shen, Xiao-Yang Liu, Weiping Jia, Ping Li, Ruogu Fang:
Abdominal adipose tissues extraction using multi-scale deep neural network. 23-33 - Tao Wan, Jiajia Cao, Jianhui Chen, Zengchang Qin:
Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features. 34-44 - Yan Xu, Fumin Shen, Xing Xu, Lianli Gao, Yuan Wang, Xiao Tan:
Large-scale image retrieval with supervised sparse hashing. 45-53 - Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu:
Scalable joint segmentation and registration framework for infant brain images. 54-62 - Chaowei Tan, Kang Li, Zhennan Yan, Jingru Yi, Pengxiang Wu, Hui Jing Yu, Klaus Engelke, Dimitris N. Metaxas:
Towards large-scale MR thigh image analysis via an integrated quantification framework. 63-76 - Honghan Chen, Xiao Wu, Tao Gan, Qiang Peng:
Automatic content understanding with cascaded spatial-temporal deep framework for capsule endoscopy videos. 77-87 - Xipeng Pan, Lingqiao Li, Hui-Hua Yang, Zhenbing Liu, Jinxin Yang, Lingling Zhao, Yong-Xian Fan:
Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks. 88-99 - Soheil Ghafurian, Ilker Hacihaliloglu, Dimitris N. Metaxas, Virak Tan, Kang Li:
A computationally efficient 3D/2D registration method based on image gradient direction probability density function. 100-108
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