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Automated measurement network for accurate segmentation and parameter modification in fetal head ultrasound images 期刊论文
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2020, 页码: 1-14
Authors:  Li PX(李培玄);  Zhao HC(赵怀慈);  Liu PF(刘鹏飞);  Cao FD(曹飞道);  Li PX(李培玄);  Zhao HC(赵怀慈);  Liu PF(刘鹏飞);  Cao FD(曹飞道)
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Fetal head measurement  Ultrasound image segmentation  Fully convolutional networks  Feature pyramid  ROI pooling  
对抗网络实现单幅RGB重建高光谱图像 期刊论文
红外与激光工程, 2020, 卷号: 49, 期号: S1, 页码: 1-8
Authors:  刘鹏飞;  赵怀慈;  李培玄
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高光谱成像  特征金字塔  生成对抗网络  注意力机制  
Adversarial networks for scale feature-attention spectral image reconstruction from a single RGB 期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 8, 页码: 1-17
Authors:  Liu PF(刘鹏飞);  Zhao HC(赵怀慈)
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hyperspectral imaging  generative adversarial network  attention mechanism  feature pyramid  boundary supervision  
一种大场景环境下烟雾建模方法 专利
专利类型: 发明, 专利号: CN109977431A, 公开日期: 2019-07-05,
Inventors:  赵怀慈;  郝明国;  王立勇;  刘明第;  曹飞道;  吕进锋;  刘鹏飞;  赵洋
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一种基于改进粒子群的海上静止目标搜寻方案生成方法 专利
专利类型: 发明, 专利号: CN109961129A, 公开日期: 2019-07-02,
Inventors:  赵怀慈;  郝明国;  刘明第;  吕进锋;  刘鹏飞
Adobe PDF(424Kb)  |  Favorite  |  View/Download:48/7  |  Submit date:2019/07/09
一种基于卷积神经网络的图像超分辨率重建方法 专利
专利类型: 发明, 专利号: CN109961396A, 公开日期: 2019-07-02,
Inventors:  赵怀慈;  刘明第;  郝明国;  王立勇;  刘鹏飞;  赵洋
Adobe PDF(359Kb)  |  Favorite  |  View/Download:61/14  |  Submit date:2019/07/09
多尺度卷积神经网络的噪声模糊图像盲复原 期刊论文
红外与激光工程, 2019, 卷号: 48, 期号: 4, 页码: 1-9
Authors:  刘鹏飞;  赵怀慈;  曹飞道
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多尺度卷积神经网络  多重损失函数  生成式对抗网络  噪声模糊图像  
基于卷积神经网络的图像超分辨率重建 期刊论文
计算机工程与应用, 2019, 卷号: 55, 期号: 9, 页码: 197-202
Authors:  刘鹏飞;  赵怀慈;  刘明第
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图像超分辨率  深度学习  卷积神经网络  特征转移  
Automated classification and measurement of fetal ultrasound images with attention feature pyramid network 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, August 28-30, 2019
Authors:  Liu PF(刘鹏飞);  Zhao HC(赵怀慈);  Li PX(李培玄);  Cao FD(曹飞道)
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Fetal biometric measurement  ultrasound image segmentation  attention mechanism  deep supervision  
Review on the intelligent measurement technology of fetal ultrasound image 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, August 28-30, 2019
Authors:  Liu MD(刘明第);  Zhao HC(赵怀慈)
Adobe PDF(281Kb)  |  Favorite  |  View/Download:30/6  |  Submit date:2020/03/22
Artificial intelligence  ultrasonic imaging