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Fine-grained neural decoding with distributed word representations 期刊论文
INFORMATION SCIENCES, 2020, 卷号: 507, 页码: 256-272
Authors:  Wang, Shaonan;  Zhang, Jiajun;  Wang, Haiyan;  Lin, Nan;  Zong, Chengqing
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Neural decoding  fMRI word decoding  Word class  Stimuli paradigm  Word embedding models  Informative voxels  
Multiview, Few-Labeled Object Categorization by Predicting Labels With View Consistency 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 3834-3843
Authors:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
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Few-labeled images  multiview classification  object categorization  view consistency  
Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959) 期刊论文
BMC Medicine, 2019, 卷号: 17, 期号: 1
Authors:  Dong,Di;  Zhang,Fan;  Zhong,Lian-Zhen;  Fang,Meng-Jie;  Huang,Cheng-Long;  Yao,Ji-Jin;  Sun,Ying;  Tian,Jie;  Ma,Jun;  Tang,Ling-Long
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Individualized imaging biomarker  Induction chemotherapy  Survival benefit  Treatment decision  Locoregionally advanced nasopharyngeal cancer  
Unsupervised and Semi-Supervised Image Classification With Weak Semantic Consistency 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2482-2491
Authors:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
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Semi-supervised classification  unsupervised classification  weak semantic representation  semantic consistency  
ScaleNet_ a convolutional network to extract multi-scale and fine-grained visual features 期刊论文
IEEE Access, 2019, 期号: 7, 页码: 147560-147570
Authors:  Zhang Jinpeng;  Zhang Jinming;  Hu Guyue;  Cheng Yang;  Yu Shan
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Image Classification  Convolutional Neural Networks  Resnet  Deconvolution  
Edge Heuristic GAN for Non-Uniform Blind Deblurring 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2019, 卷号: 26, 期号: 10, 页码: 1546-1550
Authors:  Zheng, Shuai;  Zhu, Zhenfeng;  Cheng, Jian;  Guo, Yandong;  Zhao, Yao
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Blind image deblurring  generative adversarial network  edge heuristic  
Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma 期刊论文
CLINICAL RADIOLOGY, 2019, 卷号: 74, 期号: 10, 页码: 9
Authors:  Kong, Z.;  Li, J.;  Liu, Zehua;  Liu, Zhenyu;  Zhao, D.;  Cheng, X.;  Li, L.;  Lin, Y.;  Wang, Y.;  Tian, J.;  Ma, W.
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Diffusion induced graph representation learning 期刊论文
NEUROCOMPUTING, 2019, 卷号: 360, 页码: 220-229
Authors:  Li, Fuzhen;  Zhu, Zhenfeng;  Zhang, Xingxing;  Cheng, Jian;  Zhao, Yao
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Graph representation learning  Graph embedding  Diffusion model  Auto-encoder  Deep learning  
18F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma 期刊论文
Cancer Imaging, 2019, 卷号: 19, 期号: 1
Authors:  Kong,Ziren;  Lin,Yusong;  Jiang,Chendan;  Li,Longfei;  Liu,Zehua;  Wang,Yuekun;  Dai,Congxin;  Liu,Delin;  Qin,Xuying;  Wang,Yu;  Liu,Zhenyu;  Cheng,Xin;  Tian,Jie;  Ma,Wenbin
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Radiomics  FDG PET  MGMT promoter methylation  Glioma  Prognosis  
F-18-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma 期刊论文
CANCER IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 10
Authors:  Kong, Ziren;  Lin, Yusong;  Jiang, Chendan;  Li, Longfei;  Liu, Zehua;  Wang, Yuekun;  Dai, Congxin;  Liu, Delin;  Qin, Xuying;  Wang, Yu;  Liu, Zhenyu;  Cheng, Xin;  Tian, Jie;  Ma, Wenbin
Favorite  |  View/Download:4/0  |  Submit date:2019/12/16
Radiomics  FDG PET  MGMT promoter methylation  Glioma  Prognosis