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XAI-enabled neural network analysis of metabolite spatial distributions 期刊论文
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2023, 页码: 12
作者:  Ma, Wenwu;  Luo, Lanfang;  Liang, Kun;  Liu, Taoyan;  Su, Jiali;  Wang, Yuefan;  Li, Jun;  Zhou, S. Kevin;  Shyh-Chang, Ng
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Mass spectrometry imaging  Deep neural networks  Feature extraction  Pathway analysis  Aging  
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography 期刊论文
MEDICAL IMAGE ANALYSIS, 2022, 卷号: 75, 页码: 10
作者:  Zhou, Bo;  Chen, Xiongchao;  Zhou, S. Kevin;  Duncan, James S.;  Liu, Chi
收藏  |  浏览/下载：24/0  |  提交时间：2022/06/21
Sparse view  Metal artifact  Computed tomography  Recurrent network  Dual-domain network  Data consistency  
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 7, 页码: 1792-1804
作者:  Zhou, Bo;  Zhou, S. Kevin;  Duncan, James S.;  Liu, Chi
收藏  |  浏览/下载：31/0  |  提交时间：2021/12/01
Tomographic reconstruction  cascaded network  projection data fidelity layer  RedSCAN  limited angle  sparse view  
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2021, 页码: 8
作者:  Liu, Pengbo;  Han, Hu;  Du, Yuanqi;  Zhu, Heqin;  Li, Yinhao;  Gu, Feng;  Xiao, Honghu;  Li, Jun;  Zhao, Chunpeng;  Xiao, Li;  Wu, Xinbao;  Zhou, S. Kevin
收藏  |  浏览/下载：42/0  |  提交时间：2021/12/01
CT dataset  Pelvic segmentation  Deep learning  SDF post-processing  
Semi-Supervised Natural Face De-Occlusion 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 1044-1057
作者:  Cai, Jiancheng;  Han, Hu;  Cui, Jiyun;  Chen, Jie;  Liu, Li;  Zhou, S. Kevin
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Faces  Face recognition  Generators  Training  Task analysis  Shape  Annotations  Natural face de-occlusion  occlusion-aware  generative adversarial networks  alternating training