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Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins 期刊论文
FORESTS, 2023, 卷号: 14, 期号: 12, 页码: 28
作者:  Zhang, Jiaxiu;  Yang, Meng;  Xi, Benye;  Duan, Jie;  Huang, Qingqing;  Meng, Weiliang
Adobe PDF(10070Kb)  |  收藏  |  浏览/下载：73/10  |  提交时间：2024/02/22
clustering  catkin modeling  wind field simulation  catkin control  
CGFormer: ViT-Based Network for Identifying Computer-Generated Images With Token Labeling 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 235-250
作者:  Quan, Weize;  Deng, Pengfei;  Wang, Kai;  Yan, Dong-Ming
Adobe PDF(2517Kb)  |  收藏  |  浏览/下载：74/3  |  提交时间：2024/02/22
CG image forensics  transformer  token labeling  generalization  robustness  
Exploring the Representativity of Art Paintings 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2794-2805
作者:  Deng, Yingying;  Tang, Fan;  Dong, Weiming;  Ma, Chongyang;  Huang, Feiyue;  Deussen, Oliver;  Xu, Changsheng
Adobe PDF(5313Kb)  |  收藏  |  浏览/下载：281/41  |  提交时间：2021/11/03
Painting  Art  Image color analysis  Feature extraction  Task analysis  Engineering profession  Electronic mail  Representativity  style enhancement  feature representation  artwork evaluation  
Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 期号: 10.1016/j.radonc.2021.06.024, 页码: 230-240
作者:  Yang, Ruijie;  Yang, Xueying;  Wang, Le;  Li, Dingjie;  Guo, Yuexin;  Li, Ying;  Guan, Yumin;  Wu, Xiangyang;  Xu, Shouping;  Zhang, Shuming;  Chan, Maria F.;  Geng, Lisheng;  Sui, Jing
Adobe PDF(2840Kb)  |  收藏  |  浏览/下载：397/63  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation  
Macro-micro mutual learning inside compositional model for human pose estimation 期刊论文
Neurocomputing, 2021, 卷号: 449, 期号: 449, 页码: 176-188
作者:  Zhou Lu;  Chen Yingying;  Cao Congqi;  Chu Yakui;  Wang Jinqiao;  Lu Hanqing
Adobe PDF(3325Kb)  |  收藏  |  浏览/下载：242/55  |  提交时间：2021/06/21
Mutual learning  Macro-micro  BMMSE  Human pose estimation  
Hepatic differentiation of human embryonic stem cells by coupling substrate stiffness and microtopography 期刊论文
BIOMATERIALS SCIENCE, 2021, 页码: 15
作者:  Luo, Chunhua;  Lu, Dongyuan;  Zheng, Lu;  Zhang, Fan;  Zhang, Xiao;  Lu, Shouqin;  Zhang, Chen;  Jia, Xiaohua;  Shu, Xinyu;  Li, Peiwen;  Li, Zhan;  Long, Mian
Adobe PDF(7505Kb)  |  收藏  |  浏览/下载：214/2  |  提交时间：2021/05/17
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：351/61  |  提交时间：2021/05/17
medical image synthesis  generative adversarial network  mammogram  mass detection  
3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point 期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 期号: 2021, 页码: 94-103
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Wang, Fei-Yue
Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：317/41  |  提交时间：2021/03/29
3D object reconstruction  Encoder-decoder network  Machine learning  Point prediction network  
Multi-task autoencoder based classification-regression model for patient-specific VMAT QA 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 23, 页码: 12
作者:  Wang, Le;  Li, Jiaqi;  Zhang, Shuming;  Zhang, Xile;  Zhang, Qilin;  Chan, Maria F.;  Yang, Ruijie;  Sui, Jing
Adobe PDF(926Kb)  |  收藏  |  浏览/下载：455/94  |  提交时间：2021/01/06
VMAT QA  patient-specific QA  deep learning  radiotherapy  
Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Adaptive Fractal and Network Analysis: A Clinical Perspective 期刊论文
FRONTIERS IN PHYSIOLOGY, 2020, 卷号: 11, 页码: 15
作者:  Li, Qiong;  Gao, Jianbo;  Zhang, Ziwen;  Huang, Qi;  Wu, Yuan;  Xu, Bo
收藏  |  浏览/下载：178/0  |  提交时间：2020/09/28
EEG  epileptiform discharges  adaptive fractal analysis  Hurst parameter  singular value decomposition  brain network