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Blind image quality assessment via learnable attention-based pooling 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 91, 页码: 332-344
Authors:  Gu, Jie;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
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Image quality assessment  Perceptual image quality  Visual attention  Convolutional neural network  Learnable pooling  
Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2665-2679
Authors:  Wang, Yunbo;  Liang, Jian;  Cao, Dong;  Sun, Zhenan
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Image retrieval  deep hashing  similarity-preserving  local structures  Hamming-isometric  
基于磁共振成像的个体化脑功能和行为预测研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  吴东亚
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脑结构连接  脑功能  人类行为  个体化预测  磁共振成像  
无权访问的条目 学位论文
Authors:  周小虎
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融合结构和功能影像研究阿尔茨海默病脑网络异常 学位论文
, 北京: 中国科学院大学, 2019
Authors:  窦雪娇
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阿尔茨海默病,弥散张量成像,功能磁共振成像,白质纤维束,默认网络  
基于光学多模分子影像技术的抗肝肿瘤药物疗效评估 学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  梁倩
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光学多模分子影像,自发荧光断层重建,药效评估,阿帕替尼,索拉菲尼,肝癌  
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study 期刊论文
GUT, 2019, 卷号: 68, 期号: 4, 页码: 729-741
Authors:  Wang, Kun;  Lu, Xue;  Zhou, Hui;  Gao, Yongyan;  Zheng, Jian;  Tong, Minghui;  Wu, Changjun;  Liu, Changzhu;  Huang, Liping;  Jiang, Tian'an;  Meng, Fankun;  Lu, Yongping;  Ai, Hong;  Xie, Xiao-Yan;  Yin, Li-Ping;  Liang, Ping;  Tian, Jie;  Zheng, Rongqin
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Bioluminescence Tomography Based on Bilateral Weight Laplace method for In vivo Morphological Imaging of Glioma 会议论文
, San Francisco, USA, 2019.02.01
Authors:  Gao, Yuan;  Wang, Kun;  Meng, Hui;  An, Yu;  Jiang, Shixin;  Tian, Jie
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Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation 会议论文
, USA, 2019
Authors:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
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Domain Adaptation  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
Authors:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
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Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion