检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

202 篇 会议
77 篇 期刊文献

馆藏范围

279 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

130 篇 工学
- 77 篇 计算机科学与技术...
- 67 篇 软件工程
- 60 篇 光学工程
- 58 篇 生物医学工程（可授...
- 37 篇 电气工程
- 31 篇 生物工程
- 28 篇 电子科学与技术（可...
- 16 篇 信息与通信工程
- 13 篇 仪器科学与技术
- 10 篇 控制科学与工程
- 7 篇 机械工程
- 6 篇 土木工程
- 5 篇 建筑学
- 4 篇 材料科学与工程（可...
- 3 篇 安全科学与工程
88 篇 理学
- 46 篇 物理学
- 35 篇 生物学
- 32 篇 数学
- 13 篇 统计学（可授理学、...
- 4 篇 地球物理学
31 篇 医学
- 30 篇 临床医学
- 27 篇 基础医学(可授医学...
- 19 篇 药学(可授医学、理...
- 5 篇 公共卫生与预防医...
- 4 篇 医学技术（可授医学...
- 3 篇 中西医结合
25 篇 管理学
- 13 篇 管理科学与工程(可...
- 12 篇 图书情报与档案管...
- 4 篇 工商管理
6 篇 艺术学
- 6 篇 设计学（可授艺术学...
3 篇 教育学
2 篇 法学

主题

36 篇 image segmentati...
32 篇 magnetic resonan...
32 篇 computer vision
31 篇 image analysis
29 篇 laboratories
25 篇 shape
20 篇 clustering algor...
19 篇 image processing
18 篇 biomedical imagi...
17 篇 image reconstruc...
14 篇 data mining
14 篇 computed tomogra...
13 篇 neural networks
11 篇 brain modeling
11 篇 humans
10 篇 cameras
10 篇 algorithm design...
10 篇 feature extracti...
9 篇 pixel
9 篇 epilepsy

机构

19 篇 control and inte...
10 篇 image analysis a...
9 篇 radiology image ...
8 篇 department of qu...
8 篇 image analysis l...
8 篇 computer vision ...
8 篇 department of ra...
8 篇 department of el...
6 篇 centre for medic...
6 篇 computer vision ...
6 篇 computer vision ...
6 篇 control and inte...
6 篇 heidelberg
5 篇 image analysis l...
5 篇 department of co...
5 篇 university of pe...
5 篇 control and inte...
5 篇 department of in...
4 篇 electrical engin...
4 篇 department of ne...

作者

28 篇 hamid soltanian-...
16 篇 soltanian-zadeh ...
15 篇 s. mitra
12 篇 h. soltanian-zad...
12 篇 aly a. farag
10 篇 a.a. farag
9 篇 j. goutsias
8 篇 bakas spyridon
8 篇 kofler florian
7 篇 menze bjoern
7 篇 j.l. prince
6 篇 kozubek michal
6 篇 müller henning
5 篇 rajpoot nasir
5 篇 prince jerry l.
5 篇 galdran adrian
5 篇 reinke annika
5 篇 cohen-adad julie...
5 篇 glocker ben
5 篇 ma jun

语言

267 篇 英文
11 篇 其他
1 篇 中文

检索条件"机构=Computer Vision and Image Analysis Laboratory Department of Electrical Engineering"

共 279 条记录，以下是141-150 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Sparse differential connectivity graph of scalp EEG for epileptic patients

Sparse differential connectivity graph of scalp EEG for epil...

引用

17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2009

作者： Amini, L. Achard, S. Jutten, C. Soltanian-Zadeh, H. Hossein-Zadeh, G.A. David, O. Vercueil, L. INPG Domaine universitaire- BP 46 F-38402 Grenoble Cedex France Electrical and Computer Engineering Department University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI 48202 United States U836 38043 Grenoble France

ISBN: (纸本)2930307099

The aim of the work is to integrate the information modulation of the inter-relations between EEG scalp measurements of two brain states in a connectivity graph. We present a sparse differential connectivity graph (SDCG) to distinguish the effectively modulated connections between epileptiform and non-epileptiform states of the brain from all the common connections created by noise, artifact, unwanted background activities and their related volume conduction effect. The proposed method is applied on real epileptic EEG data. Clustering the extracted features from SDCG may present valuable information about the epileptiform focus and their relations.

关键词： Brain

来源：评论

学校读者我要写书评

暂无评论

Gait Recognition Using Wavelet Packet Silhouette Representation and Transductive Support Vector Machines

Gait Recognition Using Wavelet Packet Silhouette Representat...

引用

Congress on image and Signal Processing, CISP

作者： Farzin Dadashi Babak N. Araabi Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Hospital Detroit MI USA

Gait is an idiosyncratic biometric that can be used for human identification at a distance and as a result gained growing interest in intelligent visual surveillance. In this paper, an efficient gait recognition method based on describing subject outer body contour deformations using wavelet packets is proposed. With the use of matching pursuit algorithm, k bases of wavelet packet tree that have maximum similarity to the signal are selected and corresponding coefficients are used as features. Finally, transductive support vector machine (TSVM) classification is utilized on computed eigengait space for semi-supervised identification. The proposed method of selecting features which uses a complete orthogonal or near orthogonal basis from a wavelet packet library of bases and investigating the correlational structure of gait features for each individual using TSVM, result in encouraging identification performance.

关键词： Wavelet packets Support vector machines Matching pursuit algorithms Biometrics Humans Machine intelligence Surveillance Pursuit algorithms Support vector machine classification Libraries

来源：评论

学校读者我要写书评

暂无评论

A variational framework for 3D colonic polyp visualization in virtual colonoscopy

A variational framework for 3D colonic polyp visualization i...

引用

IEEE International Conference on image Processing

作者： Dongqing Chen Aly A. Farag Robert L. Falk Gerald W. Dryden Computer Vision & Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Jewish Hospital Louisville KY USA Division of Gastroenterology/Hepatology University of Louisville Louisville KY USA

Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual colonoscopy, image pre-processing, is important for colonic polyp detection/ diagnosis, feature extraction and classification. This paper introduces a general variational approach based framework for a computer aided diagnosis system for colorectal cancer. It includes techniques for 3D colon segmentation, 3D colon object reconstruction by iso-surface generation, and 3D centerline extraction. The proposed framework has been validated on 22 real CT colonography datasets.

关键词： Colonic polyps Visualization Virtual colonoscopy Cancer Colon Colonography image segmentation Optical computing Computed tomography image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Accurate and fast 3D colon segmentation in CT colonography

Accurate and fast 3D colon segmentation in CT colonography

引用

IEEE International Symposium on Biomedical Imaging

作者： Dongqing Chen Rachid Fahmi Aly A. Farag Robert L. Falk Gerald W. Dryden Computer Vision & Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Department of Medical Imaging Jewish Hospital and Saint Marys Healthcare Louisville KY USA Division of Gastroenterology/Hepatology Department of Medicine University of Louisville Louisville KY USA

ISBN: (纸本)9781424439317

This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liquid is removed by a threshold value. The closed contours are propagated toward the desired 3D region boundaries through the iterative evolution of the adaptive level sets function. The proposed method has been tested on 22 real CT colonography datasets with various pathologies, and the segmentation accuracy has achieved 98.40%.

关键词： Colonography Colon Virtual colonoscopy Cancer image segmentation Colonic polyps Level set Deformable models Computed tomography Visualization

来源：评论

学校读者我要写书评

暂无评论

MR artifact reduction in the simultaneous acquisition of EEG and fMRI of epileptic patients

MR artifact reduction in the simultaneous acquisition of EEG...

引用

16th European Signal Processing Conference, EUSIPCO 2008

作者： Amini, L. Sameni, R. Jutten, C. Hossein-Zadeh, G.A. Soltanian-Zadeh, H. GIPSA-LAB INPG 46 Avenue Félix Viallet 38031 Grenoble cedex France Electrical and Computer Engineering Department College of Engineering University of Tehran Tehran Iran School of Electrical Engineering Sharif University of Technology Tehran Iran Radiology Image Analysis Laboratory Henry Ford Hospital Detroit MI 48202 United States

Integrating high spatial resolution of functional magnetic resonance imaging (fMRI) and high temporal resolution of electroencephalogram (EEG) is promising in simultaneous EEG and fMRI analysis, especially for epileptic patients. The EEG recorded inside an MR scanner is interfered with MR artifacts. In this article, we propose new artifact reduction approaches and compare them with the conventional artifact reduction methods. Our proposed approaches are based on generalized eigenvalue decomposition (GEVD) and median filtering. The proposed methods are applied on experimental simultaneous EEG and fMRI recordings of an epileptic patient. The results show significant improvement over conventional MR artifact reduction methods. copyright by EURASIP.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Voxel-Based Morphometric Study of Brain Regions from Magnetic Resonance images in Temporal Lobe Epilepsy

Voxel-Based Morphometric Study of Brain Regions from Magneti...

引用

IEEE Southwest Symposium on image analysis and Interpretation

作者： Matineh Shaker Hamid Soltanian-Zadeh Department of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Hospital Detroit MI USA

ISBN: (纸本)9781424422968;1424422965

The aim of this study was to analyze the brain structures in temporal lobe epilepsy (TLE) using 3D T1-weighed magnetic resonance images (MRI). We used a method of voxel-based morphometry (VBM) with the unified segmentation framework to examine the effects of TLE on specific brain structures in 22 patients. Also, 18 healthy control subjects were included in this study for group comparison. We accomplished GM segmentation, spatial normalization, and intensity non-uniformity correction in the same model. Besides, removal of nonbrain voxels and compensation of spatial normalization effects were performed in this study. Student's t-test statistical models of differences between gray matter concentration (GMC) of patients and controls were obtained using a general linear model (GLM). Compared to controls, TLE presented GMC reduction in hippocampus, amygdala, and entorhinal cortex. Comparison of abnormal areas detected by VBM method and manual delineation of these structures confirms the obtained results.

关键词： Magnetic resonance Temporal lobe Epilepsy image segmentation Magnetic resonance imaging Hippocampus image analysis Magnetic analysis Brain modeling Diseases

来源：评论

学校读者我要写书评

暂无评论

Non-ideal iris segmentation using graph cuts

Non-ideal iris segmentation using graph cuts

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Shrinivas J. Pundlik Damon L. Woodard Stanley T. Birchfield Electrical and Computer Engineering Department Clemson University Clemson SC USA School of Computing Image and Video Analysis Laboratory Clemson SC USA

A non-ideal iris segmentation approach using graph cuts is presented. Unlike many existing algorithms for iris localization which extensively utilize eye geometry, the proposed approach is predominantly based on image intensities. In a step-wise procedure, first eyelashes are segmented from the input images using image texture, then the iris is segmented using grayscale information, followed by a post-processing step that utilizes eye geometry to refine the results. A preprocessing step removes specular reflections in the iris, and image gradients in a pixel neighborhood are used to compute texture. The image is modeled as a Markov random field, and a graph cut based energy minimization algorithm [2] is used to separate textured and untextured regions for eyelash segmentation, as well as to segment the pupil, iris, and background using pixel intensity values. The algorithm is automatic, unsupervised, and efficient at producing smooth segmentation regions on many non-ideal iris images. A comparison of the estimated iris region parameters with the ground truth data is provided.

关键词： Iris image segmentation Eyelashes Pixel image texture Gray-scale Information geometry Reflection Markov random fields Minimization methods

来源：评论

学校读者我要写书评

暂无评论

A kidney segmentation approach from DCE-MRI using level sets

A kidney segmentation approach from DCE-MRI using level sets

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： H. Abdelmunim Aly A. Farag W. Miller Mohamed AboelGhar Department of Computer Science Computational Biomedicine Laboratory University of Houston Houston TX USA Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering University of Louisville Louisville KY USA Medical School Mansoura University Mansoura Egypt

Acute rejection is the most common reason of graft failure after kidney transplantation, and early detection is crucial to survive the transplanted kidney function. Automatic classification of normal and acute rejection transplants from dynamic contrast enhanced magnetic resonance imaging (DCEMRI), is of great importance. Kidney segmentation is the first step for such classification. The image intensity inside the kidney is used as an indication of failure/success. Differentiating between different cases cases is implemented by comparing subsequential kidney scans signals. So, this process is mainly dependent on segmentation. This paper introduces a new shape-based segmentation approach based on level sets. Training shapes are collected from different real data sets to represent the shape variations. Signed distance functions are used to represent these shapes. The methodology incorporates image and shape prior information in a variational framework. The shape registration is considered the backbone of the approach where more general transformations can be used to handle the process. We introduce a novel shape dissimilarity measure that enables the use of different (inhomogeneous) scales. The approach gives successful results compared with other techniques restricted to transformations with homogeneous scales. Results for segmenting kidney images will be illustrated and compared with other approaches to show the efficiency of the proposed technique.

关键词： Level set image segmentation computer vision Magnetic resonance imaging Shape measurement Biopsy Biomedical computing computer science image processing Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

MR artifact reduction in the simultaneous acquisition of EEG and FMRI of epileptic patients

MR artifact reduction in the simultaneous acquisition of EEG...

引用

European Signal Processing Conference (EUSIPCO)

作者： L. Amini R. Sameni C. Jutten G.A. Hossein-Zadeh H. Soltanian-Zadeh GIPSA-LAB INPG Grenoble France Electrical and Computer Engineering Department University of Tehran Tehran Iran School of Electrical Engineering Sharif University of Technology Tehran Iran Radiology Image Analysis-Laboratory Henry Ford Hospital Detroit MI USA

关键词： Electroencephalography Magnetic resonance imaging Pollution measurement Eigenvalues and eigenfunctions Signal processing Covariance matrices Brain modeling

来源：评论

学校读者我要写书评

暂无评论

4D wavelet noise suppression of MR diffusion tensor data

4D wavelet noise suppression of MR diffusion tensor data

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Hesamoddin Jahanian Azadeh Yazdan-Shahmorad Hamid Soltanian-Zadeh Department of Radiology Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA Department of Biomedical Engineering University of Michigan Ann Arbor MI USA Controll and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Diffusion tensor imaging (DTI) is known to be promising for providing anatomical information about white-matter fiber bundles that cannot be obtained by other non-invasive in vivo imaging methods. However, its application is limited because of its low signal-to-noise ratio and significant imaging artifacts. To improve the accuracy of tissue structural and architectural characterization with diffusion tensor imaging 4D wavelet denoising technique is used to improve the signal to noise ratio (SNR) of diffusion tensor images. To evaluate the proposed method, a high SNR data set is built by repeating and averaging the data acquisition several times and is compared to the denoised data. Our results revealed that wavelets would effectively reduce the noise in DTI data with less blurring of tissue types, especially in the white matter. It would suggest that by using the 4D wavelet noise suppression, one could decrease the acquisition time and still have an acceptable SNR.

关键词： Tensile stress Diffusion tensor imaging Signal to noise ratio Noise reduction Magnetic noise Anisotropic magnetoresistance Eigenvalues and eigenfunctions In vivo Magnetic resonance imaging Wavelet analysis

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共28页 << < 11 12 13 14 15 16 17 18 19 20 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：