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A method for obtaining the fraction of absorbed energy of material based on laser shock processing experiment and simulation 期刊论文
International Journal of Advanced Manufacturing Technology, 2022, 卷号: 118, 期号: 1-2, 页码: 23-31
Authors:  Wu JJ(吴嘉俊);  Zhao JB(赵吉宾);  Qiao HC(乔红超);  Hu XL(胡宪亮);  Yang YQ(杨玉奇);  Huang Z(黄钲)
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Laser shock processing  Ni-based superalloy GH4169  Finite element simulation  Fraction of absorbed energy  Residual stress  
AMF-Net: An adaptive multisequence fusing neural network for multi-modality brain tumor diagnosis 期刊论文
Biomedical Signal Processing and Control, 2022, 卷号: 72, 页码: 1-10
Authors:  Huang Z(黄钲);  Zhao YW(赵忆文);  Liu YH(刘云会);  Song GL(宋国立)
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Brain tumor diagnosis  Multisequence fusing neural network  Magnetic resonance imaging  Feature fusion  
基于深度学习的颅内肿瘤辅助分析方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2021
Authors:  黄钲
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深度学习  颅内肿瘤  辅助诊断  医学图像分析  
Mechanical properties prediction of superalloy FGH4095 treated by laser shock processing based on machine learning 期刊论文
Materials Letters, 2021, 卷号: 297, 页码: 1-4
Authors:  Wu JJ(吴嘉俊);  Xu ZH(徐子恒);  Qiao HC(乔红超);  Zhao JB(赵吉宾);  Huang Z(黄钲)
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Laser shock processing  Superalloy FGH4095  Residual stress  Micro-hardness  Ultimate tensile strength  Machine learning  
DUDA-Net: a double U-shaped dilated attention network for automatic infection area segmentation in COVID-19 lung CT images 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2021, 卷号: 16, 期号: 9, 页码: 1425-1434
Authors:  Xie, Feng;  Huang Z(黄钲);  Shi, Zhengjin;  Wang TY(王天宇);  Song GL(宋国立);  Wang, Bolun;  Liu, Zihong
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Medical image analysis  Deep learning  Lesion segmentation  U-Net  Attention mechanism  
Artificial neural network approach for mechanical properties prediction of TC4 titanium alloy treated by laser shock processing 期刊论文
Optics and Laser Technology, 2021, 卷号: 143, 页码: 1-9
Authors:  Wu JJ(吴嘉俊);  Huang Z(黄钲);  Qiao HC(乔红超);  Zhao YJ(赵永杰);  Li JF(李竟锋);  Zhao JB(赵吉宾)
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Laser shock processing  TC4 titanium alloy  Residual stress  Micro-hardness  Artificial neural network  
Automatic recognition of surface defects for hot-rolled steel strip based on deep attention residual convolutional neural network 期刊论文
Materials Letters, 2021, 卷号: 293, 页码: 1-4
Authors:  Huang Z(黄钲);  Wu JJ(吴嘉俊);  Xie, Feng
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Hot-rolled steel strip  Artificial intelligence  Deep attention residual convolutional  neural network  Surface defect recognition  
GCAUNet: A group cross-channel attention residual UNet for slice based brain tumor segmentation 期刊论文
Biomedical Signal Processing and Control, 2021, 卷号: 70, 页码: 1-12
Authors:  Huang Z(黄钲);  Zhao YW(赵忆文);  Liu YH(刘云会);  Song GL(宋国立)
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Brain tumor segmentation  Cross-channel attention  Residual Unet  2000 MSC  41A05  41A10  65D05  65D17  
Automatic surface defect segmentation for hot-rolled steel strip using depth-wise separable U-shape network 期刊论文
Materials Letters, 2021, 卷号: 301, 页码: 1-4
Authors:  Huang Z(黄钲);  Wu JJ(吴嘉俊);  Xie, Feng
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Surface defect segmentation  Depth-wise separable U-shape network  Hot-rolled steel strip  
GammaNet: An intensity-invariance deep neural network for computer-aided brain tumor segmentation 期刊论文
Optik, 2021, 卷号: 243, 页码: 1-9
Authors:  Huang Z(黄钲);  Liu YH(刘云会);  Song GL(宋国立);  Zhao YW(赵忆文)
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Adaptive gamma correction  Attention  Brain tumor segmentation  GammaNet  Intensity invariance