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Mass Image Synthesis in Mammogram with Contextual Information Based on GANs 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 202, 期号: 2021, 页码: 9
作者:  Shen, Tianyu;  Hao, Kunkun;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：309/51  |  提交时间：2021/05/17
medical image synthesis  generative adversarial network  mammogram  mass detection  
Joint image-to-image translation with denoising using enhanced generative adversarial networks 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2021, 卷号: 91, 页码: 9
作者:  Yan, Lan;  Zheng, Wenbo;  Wang, Fei-Yue;  Gou, Chao
Adobe PDF(4437Kb)  |  收藏  |  浏览/下载：287/43  |  提交时间：2021/03/01
Image-to-image translation  Generative adversarial networks  Image enhancement  Image denoising  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：362/65  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 8, 页码: 3049-3058
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Xiao;  Li, Lingxi;  Wang, Fei-Yue
Adobe PDF(2273Kb)  |  收藏  |  浏览/下载：420/105  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：357/153  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network