ISSN 1004-4140
CN 11-3017/P

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1
X射线成像和深度学习的交叉融合
2022, 31(1): 1-12. doi: 10.15953/j.ctta.2021.053
Abstract(1277) HTML PDF(251)
2
Advances in Research on Low-dose CT Imaging Algorithm Based on Deep Learning
HAN Zefang, SHANGGUAN Hong, ZHANG Xiong, HAN Xinglong, GUI Zhiguo, CUI Xueying, ZHANG Pengcheng
2022, 31(1): 117-134. doi: 10.15953/j.1004-4140.2022.31.01.14
3
A Feasibility Study of Knee Joint Semantic Segmentation on 3D MR Images
SHEN Le, LU Qian, TANG Hu, WU Sha, YI Yi, SUN Yunda, QIU Qian, ZHANG Li, ZHENG Zhuozhao, CAI Xu
2022, 31(5): 531-542. doi: 10.15953/j.ctta.2022.091
4
Segmentation of Liver Tumors Based on Bottleneck Residual Attention Mechanism U-net
DONG Xiaoying, CHEN Ping
2021, 30(6): 661-670. doi: 10.15953/j.1004-4140.2021.30.06.01
Abstract(345) PDF(74)
5
Industrial CT Rotation Center Calibration Method Based on Weighted Average
LV Zhentao, GUI Zhiguo, LIU Yi, ZHANG Pengcheng
2021, 30(5): 539-546. doi: 10.15953/j.1004-4140.2021.30.05.01
Abstract(336) PDF(71)
6
Low-dose CT Reconstruction Based on Deep Energy Models
ZHU Yuanzheng, LV Qiwen, GUAN Yu, LIU Qiegen
2022, 31(6): 709-720. doi: 10.15953/j.ctta.2021.077
7
Progress on Analytical CT Reconstruction Methods:From Circular Trajectory Scanning to Multi-source Linear Trajectory Scanning Imaging
CHEN Changyu, GAO Hewei, ZHANG Tao, XING Yuxiang, ZHANG Li, CHEN Zhiqiang
2021, 30(2): 263-277. doi: 10.15953/j.1004-4140.2021.30.02.14
Abstract(431) PDF(68)
8
Application of Lame Parameter Direct Inversion in Hydrocarbon Detection of Low-porosity and Low-permeability Reservoirs in N Structure in East China Sea Basin
ZHANG Yan, QIN Denwen, HUANG Jun
2022, 31(3): 305-316. doi: 10.15953/j.ctta.2021.088
9
Research on Material Decomposition of Dual-energy CT Image Based on Iterative Residual Network
WANG Chongxu, CHEN Ping, PAN Jinxiao, LIU Bin
2022, 31(1): 47-54. doi: 10.15953/j.1004-4140.2022.31.01.05
10
Comprehensive Disease Identification and 3D Geological Modeling of Rock Mass Based on Elastic Wave CT and GPR
WANG Dunxian, ZHANG Xiangxiang, CHEN Wenxue, LIU Keqiang, LU Jiayu, SONG Zhaocun, SONG Lei
2022, 31(2): 149-162. doi: 10.15953/j.1004-4140.2022.31.02.02
11
Polar1DMLP: A Coronary Artery Lumen Segmentation Network in CCTA
SHEN Yunpeng, GAO Yufeng, ZHANG Pinzheng, WU Wenxue, ZHOU Shoujun, LI Baosheng, ZHU Jian, CHEN Yang
2020, 29(6): 631-642. doi: 10.15953/j.1004-4140.2020.29.06.01
Abstract(305) PDF(57)
12
Coded Aperture Computed Tomography Via Generative Adversarial U-net
WANG Zhiteng, MAO Tianyi, ZHANG Xin, ZHU Shujin, ZHU Jianjian, DAI Xiubin
2022, 31(3): 317-327. doi: 10.15953/j.ctta.2021.070
13
Sparse CT Reconstruction Based on Adversarial Residual Dense Deep Neural Network
DU Congcong, QIAO Zhiwei
2022, 31(2): 163-172. doi: 10.15953/j.ctta.2021.032
14
Nuclear TV Multi-channel Image Reconstruction Algorithm Based on Chambolle-pock Framework
MA Jingyi, QIAO Zhiwei
2022, 31(6): 731-747. doi: 10.15953/j.ctta.2022.111
15
Analysis of Spiral CT Phenotypes and Features of Primary Intestinal Lymphoma
YU Ming, HU Jiayuan, SONG Yan, LI Saying
2022, 31(4): 449-458. doi: 10.15953/j.ctta.2022.090
16
Research on High Resolution Seismic Date Processing Method Based on Adaptive VMD
DUAN Chengxiang, LIANG Yuan, FAN Xiaohui, ZHANG Fanchang, WU Jun
2022, 31(2): 135-148. doi: 10.15953/j.1004-4140.2022.31.02.01
17
CT Intelligent Solution for Real-time Inspection and Release of Baggage and Cargo
LI Xinbin, ZHANG Li, CHEN Zhiqiang, SUN Yunda, TANG Hu
2022, 31(5): 597-615. doi: 10.15953/j.ctta.2022.124
18
Combined Boundary of CPML and Feature Analysis within Frequency-Space Domain
LI Guihua, WANG Shulin, ZHANG Wenbo, XU Ziyu
2022, 31(3): 269-279. doi: 10.15953/j.ctta.2021.075
19
Application of Double Width Seismic Data to Channel Sand Body Prediction of X Gas Field in the East China Sea
HU Wei, QIN Dewen, LI Qin, YU Weizhe, HUANG Jun
2022, 31(3): 293-304. doi: 10.15953/j.ctta.2021.017
20
Application of Deep Learning Reconstruction Algorithm in Upper Abdomen CT
WEN Deying, YANG Jieyin, WANG Qin, LI Zhen, WANG Hanxiao, WANG Aijie, DENG Qiao, TANG Lu, WU Xi, YAO Jin, LU Chunyan, SUN Jiayu
2022, 31(3): 329-336. doi: 10.15953/j.ctta.2021.005
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