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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  
Automated measurement network for accurate segmentation and parameter modification in fetal head ultrasound images 期刊论文
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2020, 卷号: 58, 期号: 11, 页码: 2879-2892
Authors:  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  
Adversarial networks for scale feature-attention spectral image reconstruction from a single RGB 期刊论文
SENSORS, 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  
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  
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)
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Artificial intelligence  ultrasonic imaging  
Input limited Wasserstein GAN 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, August 28-30, 2019
Authors:  Cao FD(曹飞道);  Zhao HC(赵怀慈);  Liu PF(刘鹏飞);  Li PX(李培玄)
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WGAN  stability  domain constrain layer  
析因-粒子群算法及其在海上运动目标搜寻中的应用 期刊论文
控制与决策, 2018, 卷号: 33, 期号: 11, 页码: 1983-1989
Authors:  吕进锋;  赵怀慈
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析因  粒子群  群智能  优化  海上搜寻  运动目标  
自适应权值的跨尺度立体匹配算法 期刊论文
光学学报, 2018, 卷号: 38, 期号: 12, 页码: 1-6
Authors:  李培玄;  刘鹏飞;  曹飞道;  赵怀慈
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机器视觉  立体匹配  跨尺度代价聚合  图像信息熵  自适应权值  
Research on Optimization Method of Deep Neural Network 会议论文
Proceedings SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, Changchun, China, July 23-25, 2017
Authors:  Liu PF(刘鹏飞);  Zhao HC(赵怀慈);  Cao FD(曹飞道)
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Deep Neural Network  Object Classification  Over-fitting  Loss Function