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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：414/67  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation  
Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 8, 页码: 0-0
作者:  Bo,Wang;  Wei,Wei;  Shuang,Qiu;  Shengpei,Wang;  Huiguang,He
Adobe PDF(23227Kb)  |  收藏  |  浏览/下载：344/42  |  提交时间：2021/06/21
Retinal layers segmentation  Boundary detection  OCT  BAU-Net  Topology guarantee loss  
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 4, 页码: 1128-1138
作者:  Bo,Wang;  Shengpei,Wang;  Shuang,Qiu;  Wei,Wei;  Haibao,Wang;  Huiguang,He
Adobe PDF(6892Kb)  |  收藏  |  浏览/下载：319/51  |  提交时间：2021/06/21
Fundus images  blood vessel segmentation  CSU-Net  feature fusion  structure loss  
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 4, 页码: 1279-1289
作者:  Yao, Dongren;  Sui, Jing;  Wang, Mingliang;  Yang, Erkun;  Jiaerken, Yeerfan;  Luo, Na;  Yap, Pew-Thian;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：462/88  |  提交时间：2021/05/17
Functional magnetic resonance imaging  Convolution  Diseases  Fuses  Brain modeling  Neuroimaging  White matter  Brain connectivity  graph convolutional network  triplet  classification  
Sparse self-attention aggregation networks for neural sequence slice interpolation 期刊论文
BioData Mining, 2021, 卷号: 14, 期号: 1, 页码: 19
作者:  Wang, Zejin;  Liu, Jing;  Chen, Xi;  Li, Guoqing;  Han, Hua
Adobe PDF(5022Kb)  |  收藏  |  浏览/下载：331/48  |  提交时间：2021/02/18
Slice interpolation  Biological tissue recovery  EM images  Sparse self-attention network  Adaptive style-balance loss