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Toward a Cluttered Environment for Learning-Based Multi-Scale Overhead Ground Wire Recognition 期刊论文
NEURAL PROCESSING LETTERS, 2018, 卷号: 48, 期号: 3, 页码: 1789-1800
作者:  Chang, Wenkai;  Yang, Guodong;  Li, En;  Liang, Zize
Adobe PDF(1641Kb)  |  收藏  |  浏览/下载：312/67  |  提交时间：2019/07/12
Power line recognition  Conditional generative adversarial nets  Power line inspection  Hybrid robot  
Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9, 期号: 1688, 页码: 1-17
作者:  Kang, Mengzhen;  Hua, Jing;  Wang, Xiujuan;  de Reffye, Philippe;  Jaeger, Marc;  Akaffou, Selastique
Adobe PDF(3548Kb)  |  收藏  |  浏览/下载：342/56  |  提交时间：2019/07/12
greenlab  inverse method  source-sink parameters  functional-structural plant model  stochastic development  parameter estimation  
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:  Han, Yuqi;  Xie, Zhen;  Zang, Yali;  Zhang, Shuaitong;  Gu, Dongsheng;  Zhou, Mu;  Gevaert, Olivier;  Wei, Jingwei;  Li, Chao;  Chen, Hongyan;  Du, Jiang;  Liu, Zhenyu;  Dong, Di;  Tian, Jie;  Zhou, Dabiao
Adobe PDF(2365Kb)  |  收藏  |  浏览/下载：496/148  |  提交时间：2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
LGE-CMR-derived texture features reflect poor prognosis in hypertrophic cardiomyopathy patients with systolic dysfunction: preliminary results 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 11, 页码: 4615-4624
作者:  Cheng, Sainan;  Fang, Mengjie;  Cui, Chen;  Chen, Xiuyu;  Yin, Gang;  Prasad, Sanjay K.;  Dong, Di;  Tian, Jie;  Zhao, Shihua
Adobe PDF(1121Kb)  |  收藏  |  浏览/下载：305/29  |  提交时间：2019/12/16
Hypertrophic cardiomyopathy  Cardiac magnetic resonance  Late gadolinium enhancement  Texture features  Event-free survival  
Machine learning in major depression: From classification to treatment outcome prediction 期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2018, 卷号: 24, 期号: 11, 页码: 1037-1052
作者:  Gao, Shuang;  Calhoun, Vince D.;  Sui, Jing
浏览  |  Adobe PDF(1954Kb)  |  收藏  |  浏览/下载：312/59  |  提交时间：2019/01/08
classification  machine learning  magnetic resonance imaging  major depressive disorder  review  
A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review 期刊论文
IEEE SENSORS JOURNAL, 2018, 卷号: 18, 期号: 21, 页码: 8631-8641
作者:  Yang, Lei;  Li, En;  Long, Teng;  Fan, Junfeng;  Liang, Zize
Adobe PDF(2552Kb)  |  收藏  |  浏览/下载：248/22  |  提交时间：2019/12/16
Seam extraction  structured light vision  target tracking  KCF  
Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 卷号: 13, 期号: 11, 页码: 2772-2787
作者:  Quan, Weize;  Wang, Kai;  Yan, Dong-Ming;  Zhang, Xiaopeng
浏览  |  Adobe PDF(8950Kb)  |  收藏  |  浏览/下载：453/143  |  提交时间：2018/10/01
Image forensics  natural image  computer-generated image  convolutional neural network  robustness  local-to-global strategy  visualization  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：444/116  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
A novel estrogen receptor α-targeted near-infrared fluorescent probe for in vivo detection of breast tumor 期刊论文
Molecular Pharmaceutics, 2018, 卷号: 15, 期号: 10, 页码: 4702-4709
作者:  Tang Chu;  Du Yang;  Liang Qian;  Cheng Zhen;  Tian Jie
浏览  |  Adobe PDF(1175Kb)  |  收藏  |  浏览/下载：252/76  |  提交时间：2019/02/18
Breast Cancer, Nir Fluorescent Probe, Era-targeted ImagIng, In Vivo Detection  
Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 10, 页码: 2693-2705
作者:  Jiao,Yifan;  Li,Zhetao;  Huang,Shucheng;  Yang,Xiaoshan;  Liu,Bin;  Zhang,Tianzhu
浏览  |  Adobe PDF(4692Kb)  |  收藏  |  浏览/下载：512/183  |  提交时间：2018/10/10
Video Highlight Detection  Attention Model  Deep Ranking