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2019中国阿尔茨海默病论坛(中国脑病大会CCBD2019)

作者： Dan Jin Bo Zhou Ying Han Jiaji Ren Tong Han Bing Liu Jie Lu Chengyuan Song Pan Wang Dawei Wang Jian Xu Zhengyi Yang Hongxiang Yao Chunshui Yu Kun Zhao Xinqing Zhang Yuying Zhou Xi Zhang Tianzi Jiang Qing Wang Yong Liu Brainnetome Center&National Laboratory of Pattern Recognition Institute of AutomationChinese Academ Department of Neurology the Second Medical CentreNational Clinical Research Centre for Geriatric Di Department of Neurology Xuanwu Hospital of Capital Medical UniversityBeijingChina Center of Alzhei Department of Radiology Tianjin Huanhu HospitalTianjinChina Brainnetome Center&National Laboratory of Pattern Recognition Institute of AutomationChinese Academ Department of Radiology Xuanwu Hospital of Capital Medical UniversityBeijingChina Department of Neurology Qilu Hospital of Shandong UniversityJi'nanChina Department of Neurology Tianjin Huanhu HospitalTianjinChina Department of Radiology Qilu Hospital of Shandong UniversityJi'nanChina State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese A Department of Radiology Chinese PLA General HospitalBeijingChina Department of Radiology Tianjin Medical University General HospitalTianjinChina Brainnetome Center&National Laboratory of Pattern Recognition Institute of AutomationChinese Academ Department of Neurology Xuanwu Hospital of Capital Medical UniversityBeijingChina Alzheimer's Disease Neuroimaging Initiative Multi-Centre Alzheimer Disease Neuroimaging Working Group

Brain structural alterations are promising biomarkers for tracking disease progression and diagnosing Alzheimer's disease(AD).Deep learning methods have been increasingly used for computer-aided diagnosis of AD due to its learning ability to optimize feature representation and ***,a major limitation of the existing methods is the lack of availability of valuable spatial information which is isolated from subsequent feature optimization and classification processes.

关键词： Attention mechanism Alzheimer's disease Computer-aided diagnosis Structural magnetic resonance imaging Neurobiological basis

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Fast signal recovery from saturated measurements by linear loss and nonconvex penalties

arXiv

引用

arXiv 2018年

作者： He, Fan Huang, Xiaolin Liu, Yipeng Yan, Ming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University The MOE Key Laboratory of System Control and Information Processing Shanghai200240 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China The Department of Computational Mathematics Science and Engineering Michigan State University MI United States

Sign information is the key to overcoming the inevitable saturation error in compressive sensing systems, which causes information loss and results in bias. For sparse signal recovery from saturation, we propose to use a linear loss to improve the effectiveness from existing methods that utilize hard constraints/hinge loss for sign consistency. Due to the use of linear loss, an analytical solution in the update progress is obtained, and some nonconvex penalties are applicable, e.g., the minimax concave penalty, the 0 norm, and the sorted 1 norm. Theoretical analysis reveals that the estimation error can still be bounded. Generally, with linear loss and nonconvex penalties, the recovery performance is significantly improved, and the computational time is largely saved, which is verified by the numerical experiments. Copyright © 2018, The Authors. All rights reserved.

关键词： Compressed sensing

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Who will win practical artificial intelligence? AI engineerings in China

arXiv

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arXiv 2017年

作者： Wu, Huai-Yu Wang, Feiyue Pan, Chunhong National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

Currently, Artificial intelligence (AI) has won unprecedented attention and is becoming the increasingly popular focus in China. This change can be judged by the impressive record of academic publications, the amount of state-level investment and the presence of nationwide participation and devotion. In this paper, we place emphasis on discussing the progress of artificial intelligence engineerings in China. We first introduce the focus on AI in Chinese academia, including the supercomputing brain system, Cambrian Period supercomputer of neural networks, and biometric systems. Then, the development of AI in industrial circles and the latest layout of AI products in companies, such as Baidu, Tencent, and Alibaba, are introduced. Last, we bring in the opinions and arguments of the main intelligentsia of China about the future development of AI, including how to examine the relationship between humanity on one side and science and technology on the other. Copyright © 2017, The Authors. All rights reserved.

关键词： Artificial intelligence

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An Edge Detection Method Based on Information Fusion

An Edge Detection Method Based on Information Fusion

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： WEN JU JIAOLONG LIU GAOHUA CAI HONGQUAN YUN Pattern Recognition on National Key Laboratory of Science and Technology on Aerospace Intelligence Control Guidance Navigation and Control on National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (纸本)9781467383196

Image fusion is one of the main field of multi-source information *** is one of basic features of image,and extracting edges could give a strong support to target *** the edge detection problems,this paper proposes an improved edge detection method based on information ***,through constructing a target function and calculating the differential coefficient of the target function,the mass evaluation of the least target function can be gotten,then the grads matrix of the image is evaluated,and the final edge information can be obtained according to a certain *** algorithm improves the anti-noise quality of edge *** experimental result proves the applicability of the method.

关键词： image Sobel Image An Edge Detection Method Based on Information Fusion

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Nonconvex penalties with analytical solutions for one-bit compressive sensing

arXiv

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arXiv 2017年

作者： Huang, Xiaolin Yan, Ming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing Shanghai200240 China Department of Computational Mathematics Science and Engineering Department of Mathematics Michigan State University East LansingMI48824 United States

One-bit measurements widely exist in the real world and can be used to recover sparse signals. This task is known as one-bit compressive sensing (1bit-CS). In this paper, we propose novel algorithms based on both convex and nonconvex sparsity-inducing penalties for robust 1bit-CS. We consider the dual problem, which has only one variable and provides a sufficient condition to verify whether a solution is globally optimal or not. For positive homogeneous penalties, a globally optimal solution can be obtained in two steps: a proximal operator and a normalization step. For other penalties, we solve the dual problem, and it needs to evaluate the proximal operators for many times. Then we provide fast algorithms for finding analytical solutions for three penalties: minimax concave penalty (MCP), 0norm, and sorted 1penalty. Specifically, our algorithm is more than 200 times faster than the existing algorithm for MCP. Its efficiency is comparable to the algorithm for the 1penalty in time, while its performance is much better than 1. Among these penalties, sorted 1is most robust to noise in different settings. Copyright © 2017, The Authors. All rights reserved.

关键词： Compressed sensing

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Consensus control for Second-Order Multi-Agent with Time-Delay on Antagonistic Networks

Consensus Control for Second-Order Multi-Agent with Time-Del...

引用

第35届中国控制会议

作者： Penglin LI Yue LIU Yadong ZHAO Jie YANG Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University State Key Laboratory of Industrial Control Technology Institute of Industrial Process ControlCollege of Control Science and EngineeringZhejiang University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781509009107

In this paper,we discuss consensus problems for antagonistic networks with double integrator *** cases are analyzed:(1) undirected graphs with fixed topology on antagonistic networks;(2) undirected graphs with fixed topology and time-delay on antagonistic *** both cases,distributed consensus protocols are proposed,with sufficient and necessary conditions *** is proved that the largest tolerable time-delay is only related to the largest eigenvalue of the graph ***,simulations are provided to demonstrate the obtained theoretical results.

关键词： Consensus Fixed Topology Multi-agent Antagonistic Networks Time-delay

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Framelet-based sparse regularization for uneven intensity correction of remote sensing images in a retinex variational framework

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Optik 2016年第3期127卷 1184-1189页

作者： Xia Lan Zhiyong Zuo Huanfeng Shen Liangpei Zhang Jing Hu The 10th Institute of China Electronics Technology Group Corporation Chengdu 610036 China The School of Resource and Environmental Sciences Wuhan University Wuhan 430079 China The State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China National Key Laboratory of Science and Technology on Multispectral Information Processing Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

Correcting uneven intensity distribution from a single image has long been a challenging problem with remote sensing image. In this paper, an analysis-based sparse prior is employed in the retinex variational framework for the uneven intensity correction of remote sensing images. This sparse regularization model is used to adjust uneven intensity by regularizing the sparsity of the reflectance component under framelet transform. Furthermore, the alternating minimization algorithm and split Bregman method are adopted to solve the framelet-based sparse regularization model. The experiments, with both simulated images and real-life images, show that the proposed model can effectively correct the uneven intensity distribution.

关键词： Framelet Retinex Uneven intensity correction Remote sensing image Split Bregman algorithm

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Modeling plant plasticity from a biophysical model: Biomechanics

Modeling plant plasticity from a biophysical model: Biomecha...

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12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2013

作者： Wang, H.Y. Kang, M.Z. Hua, J. Wang, X.J. State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China National Laboratory for Pattern Recognition Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781450325905

A mechanical effect is one of the important reasons for plant diversity, whose phenotype is crooked branch. Parametric curve equation, or skeleton extraction from image or video, or interactive design is often used to simulate branch bending. These methods generally could not dynamically demonstrate the process of deformation caused by stress. Moreover, they seldom consider biophysical behaviors. In this paper, we integrated Bio-mechanical Model with Functional Structural Plant Model (FSPM), specifically GreenLab model, both of which are biologically-based methods. The combined model is able to simulate the morphological changes of dynamically developing plants constrained by external loads, such as gravity and wind. It could also mimic tropism, which is associated with maturation strains of reaction wood. Feedback between FSPM and Bio-mechanical Model is constructed by linking the bud break strategy to the architecture. Using the models based on the botanical and biological knowledge, we could generate plausible plants in accordance with reality. Meanwhile this study lays a good foundation for studying the optimization of plant's growth behaviors when considering biomechanics. © 2013 ACM.

关键词： Biomechanics

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Detection of wide linear structures by fusion of width and gray

Detection of wide linear structures by fusion of width and g...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Anna Zhu Guoyou Wang Ran Wang State Key Laboratory for Multispectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology China

ISBN: (纸本)9781479900145

Lines provide important information in images and line detection is crucial in many applications. Many line features can be used to detect line position while line width (i.e., thickness) is a more structured, higher-level feature compared to edge or other line features. Every point of the wide line structure has its own width in spite of the structure's asymmetry. In this paper, we use the parallel edges to get the line orientation and width. We do not need to know the actual width of the line, but rather recover it to get the region of interest (ROI). Then use a modified OTSU obtaining proper region threshold T to segment the wide line structures. By fusing feature of width and gray, a sequence of tests has been conducted on a variety of image samples obtained from simple natural scene and our experimental results demonstrate the practical and robust of the proposed method.

关键词： Image edge detection Estimation Detectors Feature extraction Image segmentation Transforms Roads

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A REVIEW ON ARTERY WALL SEGMENTATION TECHNIQUES AND INTIMA-MEDIA THICKNESS MEASUREMENT FOR CAROTID ULTRASOUND IMAGES

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Journal of Innovative Optical Health Sciences 2012年第1期5卷 75-84页

作者： XIN YANG WANJI HE KAITONG LI JIAOYING JIN XUMING ZHANG MING YUCHI MINGYUE DING State Key Laboratory for Multi-Spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence(IPRAI)Huazhong University of Science and Technology Wuhan 430074HubeiChina Image Processing and Intelligence Control Key Laboratory of Education Ministry of China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074HubeiChina

Stroke and heart attack,which could be led by a kind of cerebrovascular and cardiovascular disease named as atherosclerosis,would seriously cause human morbidity and *** is important for the early stage diagnosis and monitoring medical intervention of the *** stenosis is a classical atherosclerotic lesion with vessel wall narrowing down and accumulating plaques *** carotid artery of intima-media thickness(IMT)is a key indicator to the *** the development of computer assisted diagnosis technology,the imaging techniques,segmentation algorithms,measurement methods,and evaluation tools have made considerable *** imaging,being real-time,economic,reliable,and safe,now seems to become a standard in vascular assessment methodology especially for the measurement of *** review firstly attempts to discuss the clinical relevance of measurements in clinical practice at first,and then followed by the challenges that one has to face when approaching the segmentation of ultrasound ***,the commonly used methods for the IMT segmentation and measurement are ***,discussion and evaluation of different segmentation techniques are *** overview of summary and future perspectives is given finally.

关键词： Ultrasound(US)images carotid artery intima-media thickness(IMT) atherosclerosis image segmentation computer assisted diagnosis(CAD)

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