[1] |
LU Lixia, ZOU Junzhong, GUO Yucheng, ZHANG Jian, WANG Bei.
Prediction of Knee Injury Based on Multimodal Fusion
[J]. Computer Engineering and Applications, 2021, 57(9): 225-232.
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[2] |
GAO Jin, ZHAO Yunpeng, Godfred Kim Mensah, LI Xinyun, LIU Zhifen, CHEN Junjie, GUO Hao.
Research on Spatial Dynamics Analysis and Classification of Resting-State Functional Brain Connections
[J]. Computer Engineering and Applications, 2021, 57(2): 150-155.
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[3] |
HU Yaping, KONG Weiwei, LI Meng, HUANG Cuiling.
Improved Panoramic Image Mosaic Algorithm for TV Image Denoising Model
[J]. Computer Engineering and Applications, 2021, 57(17): 203-209.
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[4] |
LU Xiaoling, WU Haifeng, ZENG Yu, KONG Lingxu, LUO Jinling.
3D Transfer Learning Network for Classification of Alzheimer’s Disease
[J]. Computer Engineering and Applications, 2021, 57(16): 253-262.
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[5] |
YANG Yong, GUO Ling, YE Yangdong.
Approach of Total Variation Flow Boundary Integrated with M2GGD for Natural Image Segmentation
[J]. Computer Engineering and Applications, 2021, 57(11): 202-210.
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[6] |
LIU Hongchen, LIU Zhaoxia, ZHANG Long.
Mixed [L2] and KL Fidelity Item Image Recovery Algorithm
[J]. Computer Engineering and Applications, 2020, 56(5): 214-221.
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[7] |
WANG Gongshu, REN Zunxiao, LI Dandan, XIANG Jie, WANG Bin.
Analysis and Application Research of Brain Activation Task Differentiation
[J]. Computer Engineering and Applications, 2020, 56(21): 272-278.
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[8] |
LIU Chengshi, ZHAO Zhigang, LI Qiang, LV Huixian, DONG Xiaochen, LI Jinxia.
Enhanced Low-Rank Representation Image Denoising Algorithm
[J]. Computer Engineering and Applications, 2020, 56(2): 216-225.
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[9] |
YAN Ding, LV Donghao, ZHANG Yong.
Research on Superposition Iterative Denoising Algorithm Based on Total Variation
[J]. Computer Engineering and Applications, 2020, 56(14): 226-230.
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[10] |
DU Xueying1,2, GONG Lun1,2, LIU Zhaobang1, ZHANG Cheng1, LIU Hanqiu3, DING Min4, ZHENG Jian1.
CT/PET Lung Registration Using Adaptive Thin Plate Spline-Based Total Variation Regularization
[J]. Computer Engineering and Applications, 2019, 55(3): 202-208.
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[11] |
ZHOU Qin1, ADU Jianhua1, YIN Lixue2, ZHANG Hongmei2, CUI Wei2, ZENG Qiang1.
Recent Advances and Prospects on Left Ventricular Segmentation Method Based on MRI
[J]. Computer Engineering and Applications, 2019, 55(2): 28-35.
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[12] |
LIU Xiaohui, ZHANG Xinyuan, LU Lijun, FENG Qianjin, CHEN Wufan.
Proximal iterative reconstruction algorithm for MR images based on primal-dual framework
[J]. Computer Engineering and Applications, 2018, 54(8): 28-35.
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[13] |
ZHAO Haifeng, XIA Guofeng, SONG Weiming, ZHANG Shaojie.
Brain MR image segmentation under strong noise interference
[J]. Computer Engineering and Applications, 2018, 54(6): 183-187.
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[14] |
ZHANG Fan, CHEN Junjie, GUO Hao.
Machine learning classification method combining multiple features of brain function hyper-network
[J]. Computer Engineering and Applications, 2018, 54(21): 120-127.
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[15] |
HUANG Jiqing, WANG Lihui, QIN Jin, CHENG Xinyu, ZHANG Jian, LI Zhi.
Improved image super resolution reconstruction method based on multiple regularizations
[J]. Computer Engineering and Applications, 2018, 54(15): 22-28.
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