咨询与建议

限定检索结果

文献类型

  • 973 篇 会议
  • 418 篇 期刊文献
  • 5 册 图书

馆藏范围

  • 1,396 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 910 篇 工学
    • 534 篇 计算机科学与技术...
    • 468 篇 软件工程
    • 211 篇 信息与通信工程
    • 154 篇 光学工程
    • 121 篇 控制科学与工程
    • 114 篇 生物医学工程(可授...
    • 108 篇 生物工程
    • 97 篇 机械工程
    • 85 篇 电子科学与技术(可...
    • 64 篇 电气工程
    • 51 篇 仪器科学与技术
    • 48 篇 化学工程与技术
    • 24 篇 交通运输工程
    • 22 篇 航空宇航科学与技...
    • 20 篇 土木工程
    • 18 篇 建筑学
    • 16 篇 力学(可授工学、理...
    • 14 篇 材料科学与工程(可...
  • 526 篇 理学
    • 319 篇 数学
    • 175 篇 物理学
    • 123 篇 生物学
    • 93 篇 统计学(可授理学、...
    • 46 篇 化学
    • 33 篇 系统科学
  • 165 篇 管理学
    • 88 篇 管理科学与工程(可...
    • 86 篇 图书情报与档案管...
    • 17 篇 工商管理
  • 68 篇 医学
    • 61 篇 临床医学
    • 51 篇 基础医学(可授医学...
    • 43 篇 药学(可授医学、理...
  • 14 篇 法学
  • 11 篇 艺术学
  • 10 篇 农学
  • 7 篇 经济学
  • 7 篇 教育学
  • 5 篇 文学
  • 5 篇 军事学
  • 1 篇 哲学

主题

  • 144 篇 pattern recognit...
  • 136 篇 image processing
  • 91 篇 image segmentati...
  • 80 篇 feature extracti...
  • 59 篇 shape
  • 54 篇 image reconstruc...
  • 45 篇 support vector m...
  • 45 篇 cameras
  • 45 篇 computer vision
  • 37 篇 image analysis
  • 37 篇 robustness
  • 36 篇 face recognition
  • 35 篇 image edge detec...
  • 32 篇 humans
  • 29 篇 image recognitio...
  • 29 篇 principal compon...
  • 28 篇 data mining
  • 27 篇 pixel
  • 26 篇 object detection
  • 26 篇 target tracking

机构

  • 237 篇 institute of ima...
  • 214 篇 institute of ima...
  • 37 篇 institute of ima...
  • 34 篇 institute of ima...
  • 24 篇 image processing...
  • 23 篇 institute of med...
  • 21 篇 institute of ima...
  • 21 篇 institute of ima...
  • 19 篇 institute for pa...
  • 17 篇 institute of ima...
  • 16 篇 state key labora...
  • 13 篇 department of au...
  • 13 篇 school of comput...
  • 12 篇 college of compu...
  • 11 篇 the institute of...
  • 11 篇 university of ch...
  • 10 篇 key laboratory o...
  • 9 篇 institute of ima...
  • 9 篇 institute of pat...
  • 9 篇 laboratory of im...

作者

  • 177 篇 yang jie
  • 114 篇 jie yang
  • 53 篇 yuncai liu
  • 53 篇 huang xiaolin
  • 40 篇 pengfei shi
  • 34 篇 zhang tianxu
  • 24 篇 ping guo
  • 22 篇 zhou yue
  • 21 篇 liu yuncai
  • 21 篇 shi pengfei
  • 19 篇 mou xuanqin
  • 19 篇 jian liu
  • 18 篇 wang lisheng
  • 17 篇 xuanqin mou
  • 17 篇 ding mingyue
  • 17 篇 hong-bin shen
  • 17 篇 gu yun
  • 16 篇 guo ping
  • 16 篇 yue zhou
  • 16 篇 xiangjian he

语言

  • 1,330 篇 英文
  • 44 篇 中文
  • 25 篇 其他
检索条件"机构=Institute of Image Processing and Pattern Recognition North China University of Technology"
1396 条 记 录,以下是281-290 订阅
排序:
COVID-MTL: Multitask learning with shift3D and random-weighted loss for automated diagnosis and severity assessment of COVID-19
arXiv
收藏 引用
arXiv 2020年
作者: Bao, Guoqing Chen, Huai Liu, Tongliang Gong, Guanzhong Yin, Yong Wang, Lisheng Wang, Xiuying School of Computer Science The University of Sydney J12/1 Cleveland St Darlington SydneyNSW2008 Australia Department of Automation Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Department of Radiation Oncology Shandong Cancer Hospital and Institute Shandong First Medical University Shandong Academy of Medical Sciences Jinan250117 China
There is an urgent need for automated methods to assist accurate and effective assessment of COVID-19. Radiology and nucleic acid test (NAT) are complementary COVID-19 diagnosis methods. In this paper, we present an e... 详细信息
来源: 评论
Mitosis domain generalization in histopathology images - The MIDOG challenge
arXiv
收藏 引用
arXiv 2022年
作者: Aubreville, Marc Stathonikos, Nikolas Bertram, Christof A. Klopfleisch, Robert ter Hoeve, Natalie Ciompi, Francesco Wilm, Frauke Marzahl, Christian Donovan, Taryn A. Maier, Andreas Breen, Jack Ravikumar, Nishant Chung, Youjin Park, Jinah Nateghi, Ramin Pourakpour, Fattaneh Fick, Rutger H.J. Hadj, Saima Ben Jahanifar, Mostafa Rajpoot, Nasir Dexl, Jakob Wittenberg, Thomas Kondo, Satoshi Lafarge, Maxime W. Koelzer, Viktor H. Liang, Jingtang Wang, Yubo Long, Xi Liu, Jingxin Razavi, Salar Khademi, April Yang, Sen Wang, Xiyue Veta, Mitko Breininger, Katharina Technische Hochschule Ingolstadt Ingolstadt Germany Pathology Department UMC Utrecht Netherlands Institute of Pathology University of Veterinary Medicine Vienna Austria Institute of Veterinary Pathology Freie Universität Berlin Berlin Germany Computational Pathology Group Radboud UMC Nijmegen Netherlands Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Germany Department of Anatomic Pathology Schwarzman Animal Medical Center New York United States CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine School of Computing University of Leeds United Kingdom Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Electrical and Electronics Engineering Department Shiraz University of Technology Shiraz Iran Tehran Iran Tribun Health Paris France Tissue Image Analytics Centre Department of Computer Science University of Warwick United Kingdom Fraunhofer-Institute for Integrated Circuits IIS Erlangen Germany Muroran Institute of Technology Hokkaido Japan Department of Pathology and Molecular Pathology University Hospital University of Zurich Zurich Switzerland School of Life Science and Technology Xidian University Shannxi China Histo Pathology Diagnostic Center Shanghai China Xi'an Jiaotong-Liverpool University Suzhou China Electrical Computer and Biomedical Engineering Ryerson University TorontoON Canada Tencent AI Lab Shenzhen518057 China College of Computer Science Sichuan University Chengdu610065 China Medical Image Analysis Group TU Eindhoven Netherlands Department of Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
The density of mitotic figures within tumor tissue is known to be highly correlated with tumor proliferation and thus is an important marker in tumor grading. recognition of mitotic figures by pathologists is known to... 详细信息
来源: 评论
NTIRE 2021 Challenge on image Deblurring
arXiv
收藏 引用
arXiv 2021年
作者: Nah, Seungjun Son, Sanghyun Lee, Suyoung Timofte, Radu Lee, Kyoung Mu Chen, Liangyu Zhang, Jie Lu, Xin Chu, Xiaojie Chen, Chengpeng Xiong, Zhiwei Xu, Ruikang Xiao, Zeyu Huang, Jie Zhang, Yueyi Xi, Si Wei, Jia Bai, Haoran Cheng, Songsheng Wei, Hao Sun, Long Tang, Jinhui Pan, Jinshan Lee, Donghyeon Lee, Chulhee Kim, Taesung Wang, Xiaobing Zhang, Dafeng Pan, Zhihong Lin, Tianwei Wu, Wenhao He, Dongliang Li, Baopu Li, Boyun Xi, Teng Zhang, Gang Liu, Jingtuo Han, Junyu Ding, Errui Tao, Guangpin Chu, Wenqing Cao, Yun Luo, Donghao Tai, Ying Lu, Tong Wang, Chengjie Li, Jilin Huang, Feiyue Chen, Hanting Chen, Shuaijun Guo, Tianyu Wang, Yunhe Zamir, Syed Waqas Arora, Aditya Khan, Salman Hayat, Munawar Khan, Fahad Shahbaz Shao, Ling Zuo, Yushen Ou, Yimin Chai, Yuanjun Shi, Lei Liu, Shuai Lei, Lei Feng, Chaoyu Zeng, Kai Yao, Yuying Liu, Xinran Zhang, Zhizhou Huang, Huacheng Zhang, Yunchen Jiang, Mingchao Zou, Wenbin Miao, Si Kim, Yangwoo Sun, Yuejin Deng, Senyou Ren, Wenqi Cao, Xiaochun Wang, Tao Suin, Maitreya Rajagopalan, A.N. Duong, Vinh Van Nguyen, Thuc Huu Yim, Jonghoon Jeon, Byeungwoo Li, Ru Xie, Junwei Han, Jong-Wook Choi, Jun-Ho Kim, Jun-Hyuk Lee, Jong-Seok Zhang, Jiaxin Peng, Fan Svitov, David Pakulich, Dmitry Kim, Jaeyeob Jeong, Jechang Department of ECE ASRI SNU Korea Republic of Computer Vision Lab ETH Zurich Switzerland University of Science and Technology of China China Megvii China Fudan University China Peking University China Netease Games AI Lab Nanjing University of Science and Technology China Guilin University of Electronic Technology China Samsung Electronics Co. Ltd Sunmoon University Asan Korea Republic of Samsung Research China Beijing China Baidu Research United States Department of Computer Vision Technology Baidu Inc China Fudan University China Megvii China Nanjing University China Tencent Noah's Ark Lab Huawei Technologies Co. Ltd Inception Institute of Artificial Intelligence Tsinghua University Beijing China North China University of Technology China Xiaomi South China University of Technology China Lab of Image Science and Technology Southeast University China China Design Group Co. Ltd China JOYY AI GROUP Fujian Normal University China Shanghai Advanced Research Institute Chinese Academy of Sciences China Institute of Information Engineering Chinese Academy of Sciences China Huawei Noah's Ark Lab Indian Institute of Technology Madras India Department of ECE Sungkyunkwan University Korea Republic of Fuzhou University China Imperial Vision Co. Ltd School of Integrated Technology Yonsei University Korea Republic of Expasoft LLC Institute of Automation and Electrometry The SB RAS Image Communication & Signal Processing Laboratory Hanyang University Korea Republic of
Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on image Deblurring. In this challenge... 详细信息
来源: 评论
Tasks integrated networks: Joint detection and retrieval for image search
arXiv
收藏 引用
arXiv 2020年
作者: Zhang, Lei He, Zhenwei Yang, Yi Wang, Liang Gao, Xinbo School of Microelectronics and Communication Engineering Chongqing University Chongqing400044 China Center for Artificial Intelligence University of Technology Sydney Australia National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications Chongqing400065 China
The traditional object (person) retrieval (re-identification) task aims to learn a discriminative feature representation with intra-similarity and inter-dissimilarity, which supposes that the objects in an image are m... 详细信息
来源: 评论
Learning tubule-sensitive CNNs for pulmonary airway and artery-vein segmentation in CT
arXiv
收藏 引用
arXiv 2020年
作者: Qin, Yulei Zheng, Hao Gu, Yun Huang, Xiaolin Yang, Jie Wang, Lihui Yao, Feng Zhu, Yue-Min Yang, Guang-Zhong Institute of Image Processing and Pattern Recognition Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province School of Computer Science and Technology Guizhou University Guiyang China Department of Thoracic Surgery Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai China Université de Lyon INSA Lyon CREATIS CNRS INSERM UMR 5220 VilleurbanneU1206 France Institute of Medical Robotics School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China
Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imbalance between tubular targets and ba... 详细信息
来源: 评论
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks
The Effect of Data Augmentation on Classification of Atrial ...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal processing
作者: Faezeh Nejati Hatamian Nishant Ravikumar Sulaiman Vesal Felix P. Kemeth Matthias Struck Andreas Maier Department of Image Processing and Medical Technology Fraunhofer Institute for Integrated Circuits IIS Erlangen Germany Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) School of Computing LICAMM Leeds Institute of Cardiovascular and Metabolic Medicine School of Medicine University of Leeds United Kingdom Pattern Recognition Lab Friedrich-Alexander University Erlangen-Nürnberg Erlangen Germany
Cardiovascular diseases are the most common cause of mortality worldwide. Detection of atrial fibrillation (AF) in the asymptomatic stage can help prevent strokes. It also improves clinical decision making through the...
来源: 评论
Alleviating class-wise gradient imbalance for pulmonary airway segmentation
arXiv
收藏 引用
arXiv 2020年
作者: Zheng, Hao Qin, Yulei Gu, Yun Xie, Fangfang Yang, Jie Sun, Jiayuan Yang, Guang-Zhong Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong Univeristy Shanghai China School of Biomedical Engineering Shanghai Jiao Tong Univeristy Shanghai China Department of Respiratory and Critical Care Medicine Department of Respiratory Endoscopy Shanghai Chest Hospital Shanghai Engineering Research Center of Respiratory Endoscopy Shanghai China
— Automated airway segmentation is a prerequisite for pre-operative diagnosis and intra-operative navigation for pulmonary intervention. Due to the small size and scattered spatial distribution of peripheral bronchi,... 详细信息
来源: 评论
Prediction of σ54 promoters in prokaryotes based on SVM–Adaboost
Prediction of σ54 promoters in prokaryotes based on SVM–Ad...
收藏 引用
Chinese Automation Congress (CAC)
作者: Yongxian Fan Qingqi Zhu Chengwei Lv Xianyong Pan School of Computer and Information Security Guilin University of Electronic Technology Guilin Guangxi Key Laboratory of System Control and Information Processing Ministry of Education of China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
σ 54 promoters are responsible for transcriptional carbon and nitrogen in prokaryotes. However, it is costly and difficult by experimental identification of them, especially in the postgenomic era with avalanche of ... 详细信息
来源: 评论
S2PAD: Secure self-certified public auditing for data integrity in cloud storage and its extension
收藏 引用
International Journal of Information and Communication technology 2018年 第1-2期12卷 113-130页
作者: Zhang, Jianhong Zhao, Xubing Zhen, Weina College of Sciences North China University of Technology Beijing100144 China ISN Key State Lab Xidian University Xi’an Shaanxi710071 China Institute of Image Process and Pattern Recognize North China University of Technology Beijing100144 China
Cloud storage is an important service of cloud computing, it can offer services for data owners in a pay-as-you-go fashion. In cloud storage, after data files are outsourced, data owner no longer has physical controls... 详细信息
来源: 评论
Sparse generalized canonical correlation analysis: Distributed alternating iteration based approach
arXiv
收藏 引用
arXiv 2020年
作者: Cai, Jia Lv, Kexin Huo, Junyi Huang, Xiaolin Yang, Jie School of Statistics and Mathematics Guangdong University of Finance & Economics Big Data and Educational Statistics Application Laboratory 21 Chisha Road Guangzhou Guangdong510320 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing 800 Dongchuan Road Shanghai200240 China School of Electronics and Computer Science University of Southampton University Road SouthamptonSO17 1BJ United Kingdom
Sparse canonical correlation analysis (CCA) is a useful statistical tool to detect latent information with sparse structures. However, sparse CCA works only for two datasets, i.e., there are only two views or two dist... 详细信息
来源: 评论