[1] |
Dai Junlong, He Cong, Wu Jie, Bian Yun.
Pancreatic Cystic Neoplasms Segmentation Network Combining Dual Decoding and Global Attention Upsampling Modules
[J]. Chinese Journal of Magnetic Resonance, 2024, 41(2): 151-161.
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[2] |
CHANG Bo, SUN Haoyun, GAO Qingyu, WANG Lijia.
Research Progress on Cardiac Segmentation in Different Modal Medical Images by Traditional Methods and Deep Learning
[J]. Chinese Journal of Magnetic Resonance, 2024, 41(2): 224-244.
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[3] |
REN Hongjin, MA Yan, XIAO Liang.
Knee Joint Model Construction and Local Specific Absorption Rate Estimation Based on Generative Adversarial Networks
[J]. Chinese Journal of Magnetic Resonance, 2023, 40(4): 410-422.
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[4] |
WANG Hui, WANG Tiantian, WANG Lijia.
Squeeze-and-excitation Residual U-shaped Network for Left Myocardium Segmentation Based on Cine Cardiac Magnetic Resonance Images
[J]. Chinese Journal of Magnetic Resonance, 2023, 40(4): 435-447.
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[5] |
ZHANG Jiajun, LU Yucheng, BAO Yifang, LI Yuxin, GENG Chen, HU Fuyuan, DAI Yakang.
An Automatic Segmentation Method of Cerebral Arterial Tree in TOF-MRA Based on DBCNet
[J]. Chinese Journal of Magnetic Resonance, 2023, 40(3): 320-331.
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[6] |
ZHAO Xin, ZHANG Xin, LI Xinjie, WANG Hongkai.
Multimodal Glioma Segmentation with Fusion of Multiple Self-attention and Deformable Convolutions
[J]. Chinese Journal of Magnetic Resonance, 2023, 40(3): 280-292.
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[7] |
Lan DENG,Yuan-jun WANG.
DTI Brain Template Construction Based on Gaussian Averaging
[J]. Chinese Journal of Magnetic Resonance, 2022, 39(4): 413-427.
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[8] |
Ying-shan WANG, Ao-qi DENG, Jin-ling MAO, Zhong-qi ZHU, Jie SHI, Guang YANG, Wei-wei MA, Qing LU, Hong-zhi WANG.
Automatic Segmentation of Knee Joint Synovial Magnetic Resonance Images Based on 3D VNetTrans
[J]. Chinese Journal of Magnetic Resonance, 2022, 39(3): 303-315.
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[9] |
Zhen-yu WANG, Ying-shan WANG, Jin-ling MAO, Wei-wei MA, Qing LU, Jie SHI, Hong-zhi WANG.
Magnetic Resonance Images Segmentation of Synovium Based on Dense-UNet++
[J]. Chinese Journal of Magnetic Resonance, 2022, 39(2): 208-219.
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[10] |
Yue QIU, Sheng-dong NIE, Long WEI.
Segmentation of Breast Tumors Based on Fully Convolutional Network and Dynamic Contrast Enhanced Magnetic Resonance Image
[J]. Chinese Journal of Magnetic Resonance, 2022, 39(2): 196-207.
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[11] |
Ying LIU,Yi-yun GUO,Jing-cong CHEN,Hao-wei ZHANG.
Automatic Precise Segmentation of Cerebellopontine Angle Tumor Based on Faster-RCNN and Level-Set Method
[J]. Chinese Journal of Magnetic Resonance, 2021, 38(3): 381-391.
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[12] |
Lu HUO,Xiao-xin HU,Qin XIAO,Ya-jia GU,Xu CHU,Luan JIANG.
Automatic Segmentation of Breast and Fibroglandular Tissues in DCE-MR Images Based on nnU-Net
[J]. Chinese Journal of Magnetic Resonance, 2021, 38(3): 367-380.
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[13] |
Shi-ju YAN,Yong-sen HAN,Guang-yu TANG.
An Improved Level Set Algorithm for Prostate Region Segmentation
[J]. Chinese Journal of Magnetic Resonance, 2021, 38(3): 356-366.
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[14] |
Qin-yi SHI,Fang YAN,Yang YANG,Yue-fu CHEN,Xiao-lang LIN,Yuan-jun WANG.
Image Segmentation of Tooth and Alveolar Bone with the Level Set Model
[J]. Chinese Journal of Magnetic Resonance, 2021, 38(2): 182-193.
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[15] |
YUE Qing, WANG Yuan-jun.
A Fiber Tracking Algorithm Based on Non-Local Constrained Spherical Deconvolution
[J]. Chinese Journal of Magnetic Resonance, 2020, 37(4): 422-433.
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