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

856 篇 会议
21 篇 期刊文献
16 册 图书

馆藏范围

893 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

328 篇 工学
- 237 篇 计算机科学与技术...
- 171 篇 生物医学工程（可授...
- 165 篇 软件工程
- 95 篇 生物工程
- 90 篇 光学工程
- 68 篇 电气工程
- 38 篇 电子科学与技术（可...
- 32 篇 控制科学与工程
- 31 篇 信息与通信工程
- 27 篇 仪器科学与技术
- 20 篇 机械工程
- 12 篇 力学（可授工学、理...
- 9 篇 建筑学
- 9 篇 土木工程
- 9 篇 化学工程与技术
186 篇 理学
- 106 篇 物理学
- 97 篇 生物学
- 61 篇 数学
- 11 篇 统计学（可授理学、...
- 10 篇 系统科学
- 8 篇 化学
95 篇 医学
- 67 篇 临床医学
- 56 篇 基础医学(可授医学...
- 44 篇 药学(可授医学、理...
- 14 篇 特种医学
- 13 篇 公共卫生与预防医...
- 13 篇 医学技术（可授医学...
49 篇 管理学
- 26 篇 图书情报与档案管...
- 23 篇 管理科学与工程(可...
- 9 篇 工商管理
5 篇 农学
3 篇 教育学
2 篇 经济学
2 篇 文学
2 篇 艺术学
1 篇 法学

主题

325 篇 visualization
254 篇 biomedical imagi...
176 篇 data visualizati...
69 篇 image segmentati...
66 篇 magnetic resonan...
56 篇 biomedical monit...
53 篇 computed tomogra...
50 篇 rendering (compu...
48 篇 biomedical engin...
45 篇 computational mo...
42 篇 medical diagnost...
40 篇 biomedical compu...
40 篇 image reconstruc...
39 篇 medical services
39 篇 humans
38 篇 feature extracti...
38 篇 accuracy
37 篇 image analysis
35 篇 monitoring
30 篇 real-time system...

机构

8 篇 department of bi...
6 篇 laboratorio di t...
5 篇 school of comput...
4 篇 department of co...
4 篇 medical image di...
4 篇 saveetha school ...
3 篇 school of comput...
3 篇 medical image pr...
3 篇 ibm thomas j. wa...
3 篇 shanghai univers...
3 篇 institute of bio...
3 篇 computing resear...
3 篇 school of comput...
3 篇 department of el...
3 篇 comput sci dept ...
2 篇 school of comput...
2 篇 school of comput...
2 篇 school of automa...
2 篇 biocomputing com...
2 篇 univ utah sci co...

作者

7 篇 tianyuan xiao
7 篇 lin zhang
6 篇 g.j. clapworthy
5 篇 s. murugan
5 篇 s.m. pizer
5 篇 m. viceconti
4 篇 peters terry m.
4 篇 satoshi tanaka
4 篇 n.f. ezquerra
4 篇 mullick r.
4 篇 j.k. udupa
4 篇 shiwei ma
4 篇 ezquerra n.f.
4 篇 prabhishek singh
4 篇 guang-zhong yang
4 篇 s. laxminarayan
3 篇 m.s. atkins
3 篇 akinori kimura
3 篇 j.m. coggins
3 篇 cooke c.d.

语言

879 篇 英文
10 篇 其他
4 篇 中文
1 篇 西班牙文
1 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=Conference on Visualization in Biomedical Computing"

共 893 条记录，以下是1-10 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：

Australian wildfire visualization 5th

Australian wildfire visualization

引用

5th International conference on Advances in AI for biomedical Instrumentation, Electronics and computing, ICABEC 2023

作者： Kaur, Manjinder Lal, Roop Pandey, Ankur Singh, Anurag Rajbhar, Dipak Chandigarh University India

ISBN: (纸本)9781032642987

In Australia, wildfires have grown to be a major problem, with disastrous effects on both human populations and ecosystems. Technology developments and improvements in data visualization have made it possible to track, comprehend, and communicate the effects of these fires in recent years. For instance, with an estimated 18.6 million hectares of land burned and 34 fatalities, the 2019-2020 Australian bushfire season was one of the worst in the nation’s history. Geographic information systems (GIS) and satellite imagery were heavily utilized during this time to track the fires and aid in emergency response. © 2024 The Author(s).

关键词： Satellite imagery

来源：评论

学校读者我要写书评

暂无评论

Voxelization: Multi-target Optimization for biomedical Volume Rendering 16th

Voxelization: Multi-target Optimization for Biomedical Volum...

引用

Mediterranean conference on Medical and Biological Engineering and computing (MEDICON) and International conference on Medical and Biological Engineering (CMBEBIH)

作者： Denisova, Elena Manetti, Leonardo Bocchi, Leonardo Iadanza, Ernesto Univ Florence Dept Informat Engn Via S Marta 3 I-50139 Florence Italy Univ Siena Dept Med Biotechnol Via Banchi Sotto 55 I-53100 Siena Italy Epica Imaginalis Via Rodolfo Morandi 13-15 I-50019 Sesto Fiorentino Italy Eidolab Florence Italy

ISBN: (纸本)9783031490613;9783031490620

Almost all existing software for visualization of biomedical volumes provides three-dimensional (3D) rendering. The most common techniques for 3D rendering of volume data are maximum intensity projection (MIP) and direct volume rendering (DVR). Recently, rendering algorithms based on Monte-Carlo path tracing (MCPT) have also been considered. Depending on the algorithm, level of detail, volume size, and transfer function, rendering can be quite slow. In this paper, we present a simple and intuitive voxelization method for biomedical volume rendering optimization. The main advantage of the proposed method, besides the fast structure construction and traversal, is its straightforward application to MIP, DVR and MCPT rendering techniques (multi-target optimization). The same single structure (voxel grid) can be used for empty space skipping, optimized maximum intensity calculation and advanced Woodcock tracking. The performance improvement results suggest the use of the proposed method especially in cases where different rendering techniques are combined.

关键词： Rendering optimization Voxelization biomedical volumes visualization

来源：评论

学校读者我要写书评

暂无评论

Interactive visualization of biomedical Data

Interactive Visualization of BioMedical Data

引用

2024 IEEE International conference on Big Data, BigData 2024

作者： Islam, Mohammad Shafiqul Ibn Rafiq, Rahat Tusch, Guenter Grand Valley State University College of Computing MI United States

ISBN: (纸本)9798350362480

Public databases such as the NCBI Gene Expression Omnibus (GEO) house millions of experimental gene expression datasets invaluable for transcriptome meta-analysis, enabling researchers to identify genes, pathways, and biomarkers with enhanced accuracy. However, while these datasets offer great potential, finding relevant biological pathways in disease-related contexts remains challenging. To address this, we introduce a web-based visualization tool that utilizes PubMed abstracts to extract key biomedical entities, such as genes, pathways, diseases, species, and chemicals, and represent their relationships through an interactive graph. By leveraging PubMed's annotated MeSH terms, our tool allows users to explore the literature more intuitively, bypassing traditional dataset search limitations and focusing on published results. The tool transforms complex query outputs into a graph-based network, providing a visual interface for navigating connections between biological entities. This interactive approach helps researchers to analyze relationships within large-scale biomedical data and uncover potential pathways for drug repurposing and disease understanding. We discuss the tool's design using ***, its application in biomedical research, and the challenges faced when visualizing large datasets, offering new insights for improved data interpretation and exploration. © 2024 IEEE.

关键词： BioInformatics biomedical Data visualization PubMed

来源：评论

学校读者我要写书评

暂无评论

An Intelligent visualization Method for Classic and Famous Prescriptions Based on Big Data 3

An Intelligent Visualization Method for Classic and Famous P...

引用

3rd IEEE International conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Yan, Xiangzhu Yu, Bing Changchun Humanities And Sciences College Center Of Well-being Training Changchun China

ISBN: (纸本)9798350318609

Relationships extraction using sMIL algorithm requires a set of classic and famous prescriptions data which is a data source that contains relational objects. The document data in this paper is the literature summary retrieved from the literature database such as PubMed. Therefore, in order to dig out the genetic data of the target syndrome of coronary heart in the literature as much as possible to improve the accuracy of excavation, data mining model where network decomposition and symptom combination are combined is proposed in this paper to mine the NEI gene data of the literature related to target syndrome in coronary heart disease with the help of a large number of previous literature research and previous research of the research group. Then final conclusion will be reached through comprehensively considering the mining results of these two methods. Data source of this paper is a large number of biomedical literatures containing classic and famous prescriptions in some disease. © 2024 IEEE.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

AR²T: Advanced Realistic Rendering Technique for biomedical Volumes 26th

AR<SUP>2</SUP>T: Advanced Realistic Rendering Technique for ...

引用

26th International conference on Medical Image computing and Computer-Assisted Intervention (MICCAI)

作者： Denisova, Elena Manetti, Leonardo Bocchi, Leonardo Iadanza, Ernesto Univ Florence Dept Informat Engn I-50139 Florence Italy Univ Siena Dept Med Biotechnol I-53100 Siena Italy Imaginalis Srl I-50019 Sesto Fiorentino Italy Eidolab Florence Italy

ISBN: (纸本)9783031439865;9783031439872

Three-dimensional (3D) rendering of biomedical volumes can be used to illustrate the diagnosis to patients, train inexperienced clinicians, or facilitate surgery planning for experts. The most realistic visualization can be achieved by theMonte-Carlo path tracing (MCPT) rendering technique which is based on the physical transport of light. However, this technique applied to biomedical volumes has received relatively little attention, because, naively implemented, it does not allow to interact with the data. In this paper, we present our application of MCPT to the biomedical volume rendering-Advanced Realistic Rendering Technique (AR(2)T), in an attempt to achieve more realism and increase the level of detail in data representation. The main result of our research is a practical framework that includes different visualization techniques: iso-surface rendering, direct volume rendering (DVR) combined with local and global illumination, maximum intensity projection (MIP), and AR(2)T. The framework allows interaction with the data in high quality for the deterministic algorithms, and in low quality for the stochastic AR(2)T. A high-quality AR(2)T image can be generated on user request;the quality improves in real-time, and the process is stopped automatically on the algorithm convergence, or by user, when the desired quality is achieved. The framework enables direct comparison of different rendering algorithms, i.e., utilizing the same view/light position and transfer functions. It therefore can be used by medical experts for immediate one-to-one visual comparison between different data representations in order to collect feedback about the usefulness of the realistic 3D visualization in clinical environment.

关键词： Monte-Carlo Path Tracing Realistic Rendering biomedical Volumes visualization

来源：评论

学校读者我要写书评

暂无评论

GUI Toolkit for Pulmonologists: Age-Gender Specific Lung Sound Analysis and Disease Identification Using Sequence Modeling 10

GUI Toolkit for Pulmonologists: Age-Gender Specific Lung Sou...

引用

10th International conference on Advanced computing and Communication Systems, ICACCS 2024

作者： Amose, John Manimegalai, P. Pavithra, S. Susmitha, B. Ruth, S. Priyanga, S. Karunya Institute of Technology and Sciences Department of Biomedical Engineering Coimbatore India Kpr Institute of Engineering and Technology Department of Biomedical Engineering Coimbatore India

ISBN: (纸本)9798350384369

The objective diagnosis of respiratory diseases, by observing pathological sounds is a promising area of research in respiratory health. A GUI-based toolkit to aid a pulmonologist in decision-making is presented in this paper. Age and Gender-specificmachine learning models are trained and analyzed in this work for the classification of wheeze and crackle. Sequence models like LSTM, GRU, and Transformer were implemented, demonstrating high accuracy in classifying intricate lung sound features for diagnosing various respiratory diseases. In this work, MATLAB is used to enable user-friendly visualization, featuring filtered spectrograms and time- domain lung sound signals. In experimental evaluations, age and gender-specific models (child, adult, female) outperformed general models in the classification of wheeze and crackle. GRU and LSTM models achieved 69% accuracy, while the Transformer model outperformed with 750%. © 2024 IEEE.

关键词： Spectrographs

来源：评论

学校读者我要写书评

暂无评论

2024 13th Mediterranean conference on Embedded computing, MECO 2024

2024 13th Mediterranean Conference on Embedded Computing, ME...

引用

13th Mediterranean conference on Embedded computing, MECO 2024

ISBN: (纸本)9798350387568

The proceedings contain 114 papers. The topics discussed include: application of artificial neural networks for processing some biomedical data;distinguishing between AI images and real images with hybrid image classification methods;securing Durres Port's digital transformation: cybersecurity strategy for maritime industry;linguistic encryption for underwater communication;a toolset for blood pressure visualization and measurement in time, frequency and time-frequency domains;using a shape from polarization to determine the 3D surface of objects with thermal radiation;on the influence of cell libraries and other parameters to SCA resistance of crypto IP cores;integration of PXROS-HR with micro-ROS in robotic systems;and traffic-aware video streaming topology reconfiguration for smart city applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

7th Joint International Workshop on computing and visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the 3rd International Workshop on Large-Scale Annotation of biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018

7th Joint International Workshop on Computing and Visualizat...

引用

7th Joint International Workshop on computing and visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the 3rd International Workshop on Large-Scale Annotation of biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018

ISBN: (纸本)9783030013639

The proceedings contain 21 papers. The special focus in this conference is on computing and visualization for Intravascular Imaging and Computer Assisted Stenting. The topics include: Deep learning retinal vessel segmentation from a single annotated example: An application of cyclic generative adversarial neural networks;an efficient and comprehensive labeling tool for large-scale annotation of fundus images;crowd disagreement about medical images is informative;imperfect segmentation labels: How much do they matter?;crowdsourcing annotation of surgical instruments in videos of cataract surgery;Four-dimensional ASL MR angiography phantoms with noise learned by neural styling;Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans;capsule networks against medical imaging data challenges;fully automatic segmentation of coronary arteries based on deep neural network in intravascular ultrasound images;weakly-supervised learning for tool localization in laparoscopic videos;Automated quantification of blood flow velocity from time-resolved CT angiography;Radiology objects in COntext (ROCO): A multimodal image dataset;Improving out-of-sample prediction of quality of MRIQC;multiple device segmentation for fluoroscopic imaging using multi-task learning;segmentation of the aorta using active contours with histogram-based descriptors;layer separation in X-ray angiograms for vessel enhancement with fully convolutional network;Generation of a HER2 breast cancer gold-standard using supervised learning from multiple experts;Deep learning-based detection and segmentation for bvs struts in IVOCT images;towards automatic measurement of type B aortic dissection parameters: Methods, applications and perspective;Prediction of FFR from IVUS images using machine learning.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Fiber-optic probe-based Raman imaging approach in combination with AR/MR visualization 3

A Fiber-optic probe-based Raman imaging approach in combinat...

引用

3rd International computing Imaging conference, CITA 2023

作者： Yang, Wei Liu, Qian Schie, Iwan W. Key Laboratory of Biomedical Engineering of Hainan Province School of Biomedical Engineering Hainan University Renmin Avenue 58 Haikou570228 China Leibniz Institute of Photonic Technology Jena Albert-Einstein-Strasse 9 Jena07745 Germany

ISBN: (纸本)9781510671409

In this paper, we summarize our previous relevant works and demonstrate various approaches to overcome the common drawbacks of applying Raman probes for many applications. A handheld fiber-optic Raman probe with an autofocus unit was presented to overcome the problem arising from using fixed-focus lenses, by using a liquid lens as the objective lens, which allows dynamical adjustment of the focal length of the probe. An implementation of a computer vision-based positional tracking to co-register the regular Raman spectroscopic measurements with the spatial location enables fast recording of a Raman image from a large tissue sample by combining positional tracking of the laser spot through brightfield images. The visualization of the Raman image has been extended to augmented and mixed reality and combined with a 3D reconstruction method and projector-based visualization to offer an intuitive and easily understandable way of presenting the Raman image. All these advances are substantial and highly beneficial to further drive the clinical translation of Raman spectroscopy as potential image-guided instrumentation. © 2023 SPIE.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Promoting Physical Exercise Adherence and Safety in Virtual Reality Using IoT Architecture 15

Promoting Physical Exercise Adherence and Safety in Virtual ...

引用

15th IEEE Annual computing and Communication Workshop and conference, CCWC 2025

作者： Tsai, Te-Yi Smiley, Aref Finkelstein, Joseph University of Utah School of Medicine Dept. Biomedical Informatics Salt Lake CityUT United States

ISBN: (纸本)9798331507695

Immersive virtual reality (VR) can enhance the cycling exercise experience and promote adherence to daily physical activity. The goal of this project was to facilitate exercise adherence and safety by implementing real-time visualization of cycling trajectory and oxygen saturation within a three-dimensional space generated by an interactive VR app. Our implementation included an Oculus headset and a Metaverse application for a racetrack game, leveraging IoT infrastructure to collect and process real-time data from a portable exercise bike and wireless pulse oximeter. The IoT interface facilitated transmission, storage, and visualization of exercise bike speed within the VR environment. The system wirelessly interfaced with a portable bike and pulse oximeter, enabling real-time monitoring of exercise intensity, heart rate, and oxygen saturation. These parameters were continuously displayed on the VR dashboard during the exercise. A dedicated web portal supported individualized exercise program prescriptions and adjustments based on patient performance. Real-time alerts based on personalized thresholds ensured adherence to exercise prescriptions and patient safety. Our prototype demonstrated the potential of Metaverse applications using IoT infrastructure for cost-effective home-based telerehabilitation. Future enhancements include wireless physiological sensors, vital sign monitors, and remote communication with clinical rehabilitation teams. A randomized clinical trial will evaluate system efficacy. © 2025 IEEE.

关键词： Oximeters

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90页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：