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

13,890 篇 会议
856 篇 期刊文献
31 册 图书
29 篇 学位论文
3 篇 专利

馆藏范围

14,808 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,807 篇 工学
- 4,071 篇 计算机科学与技术...
- 2,274 篇 电气工程
- 2,009 篇 软件工程
- 1,274 篇 生物医学工程（可授...
- 1,054 篇 信息与通信工程
- 991 篇 光学工程
- 659 篇 控制科学与工程
- 640 篇 仪器科学与技术
- 626 篇 核科学与技术
- 571 篇 机械工程
- 440 篇 电子科学与技术（可...
- 401 篇 生物工程
- 238 篇 测绘科学与技术
- 156 篇 材料科学与工程（可...
- 116 篇 航空宇航科学与技...
- 113 篇 建筑学
- 113 篇 土木工程
3,763 篇 理学
- 2,655 篇 物理学
- 1,105 篇 数学
- 469 篇 生物学
- 316 篇 统计学（可授理学、...
- 184 篇 化学
- 165 篇 系统科学
2,631 篇 医学
- 1,608 篇 临床医学
- 1,261 篇 特种医学
- 265 篇 基础医学(可授医学...
- 114 篇 医学技术（可授医学...
- 108 篇 药学(可授医学、理...
393 篇 管理学
- 271 篇 管理科学与工程(可...
- 137 篇 图书情报与档案管...
72 篇 农学
37 篇 艺术学
35 篇 法学
22 篇 经济学
21 篇 教育学
21 篇 文学
13 篇 军事学
3 篇 历史学

主题

7,686 篇 image reconstruc...
1,032 篇 cameras
874 篇 three-dimensiona...
784 篇 computed tomogra...
714 篇 image segmentati...
621 篇 reconstruction a...
611 篇 positron emissio...
561 篇 surface reconstr...
547 篇 shape
516 篇 image resolution
466 篇 training
464 篇 magnetic resonan...
456 篇 data mining
375 篇 imaging phantoms
363 篇 detectors
359 篇 deep learning
355 篇 image coding
348 篇 solid modeling
333 篇 attenuation
333 篇 compressed sensi...

机构

91 篇 univ chicago dep...
33 篇 department of ra...
32 篇 tsinghua univ de...
29 篇 department of ra...
28 篇 department of ra...
24 篇 suny stony brook...
22 篇 dartmouth coll t...
21 篇 microsoft resear...
20 篇 univ chinese aca...
20 篇 department of en...
18 篇 univ chicago dep...
17 篇 washington univ ...
16 篇 shanghai jiao to...
15 篇 university of sc...
15 篇 institute of nuc...
15 篇 university of ch...
14 篇 department of ra...
14 篇 tsinghua univ mi...
14 篇 department of ra...
13 篇 tsinghua univers...

作者

84 篇 pan xiaochuan
33 篇 xia dan
26 篇 emil y. sidky
25 篇 kudo hiroyuki
25 篇 liang zhengrong
24 篇 m. defrise
23 篇 li zhang
23 篇 m.a. king
20 篇 zhengrong liang
20 篇 maier andreas
20 篇 ma jianhua
19 篇 kris thielemans
18 篇 yuxiang xing
18 篇 j.a. fessler
18 篇 g.t. gullberg
17 篇 grant t. gullber...
17 篇 liu yan
17 篇 chen guang-hong
16 篇 hutton brian f.
16 篇 chen buxin

语言

14,473 篇 英文
204 篇 其他
122 篇 中文
11 篇 土耳其文
2 篇 俄文
1 篇 德文
1 篇 日文
1 篇 泰文
1 篇 乌克兰文

检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data"

共 14809 条记录，以下是661-670 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：

A Novel Self-Learning Network Integrating Contrastive Learning, Perceptual Learning and Masked image Modelling 15

A Novel Self-Learning Network Integrating Contrastive Learni...

引用

15th International conference on Graphics and image Processing, ICGIP 2023

作者： Chen, Yingxian Yang, Rui Lan, Rushi Guangxi Key Laboratory Image and Graphic Intelligent Processing Guilin University of Electronic Technology China

ISBN: (纸本)9781510675018

Unsupervised learning methods in computer vision have achieved remarkable success, exceeding the performance of supervised learning methods. It is noteworthy that current unsupervised learning methods share certain similarities, particularly in their data augmentation techniques. Masking, a type of data augmentation, can be utilized for both contrastive learning and masked image modelling. This paper presents a novel deep learning approach on visual unsupervised learning. It integrates previous methods such as contrastive learning, perceptual learning, self-distillation and masked image modelling. In our method, we treat the network that handles the original images as the teacher network, and the network that handles the masked images as the student network. The student network employs the representations extracted by the projection head for contrastive learning, while the features generated by the decoder are employed for masked image modeling. The process of self-knowledge distillation is facilitated by perceptual learning between the teacher and student networks. This model aligns with the main idea of contrastive learning, which aims to pull similar images closer while pushing dissimilar images further apart. Simultaneously, it reflects the main idea of masked image modelling, which enables the extraction of semantic information from large scale masked pixel reconstruction tasks. Additionally, we compare the effect of self-supervised methods to the performance of the model. Our results show that with only 75 epochs of fine-tuning, our 29M-parameter model achieves 78.5% top-1 accuracy on the imageNet-1k dataset. © 2024 SPIE. All rights reserved.

关键词： Unsupervised learning

来源：评论

学校读者我要写书评

暂无评论

MMCBE: Multi-Modality dataset for Crop Biomass Estimation and Beyond 25

MMCBE: Multi-Modality Dataset for Crop Biomass Estimation an...

引用

25th International conference on Digital image Computing: Techniques and Applications, DICTA 2024

作者： Li, Xuesong Hayder, Zeeshan Zia, Ali Cassidy, Connor Liu, Shiming Stiller, Warwick Stone, Eric Conaty, Warren Petersson, Lars Rolland, Vivien Csiro Agriculture and Food Australia Csiro Data61 Australia Australian National University Australia

ISBN: (纸本)9798350379037

Crop biomass, a critical indicator of plant growth, health, and productivity, is invaluable for crop breeding programs and agronomic research. However, the accurate and scalable quantification of crop biomass remains inaccessible due to limitations in existing measurement methods. One of the obstacles impeding the advancement of current crop biomass prediction methodologies is the scarcity of publicly available datasets. Addressing this gap, we introduce a new dataset in this domain, i.e. multi-modality dataset for crop biomass estimation (MMCBE). Comprising 216 sets of multi-view drone images, coupled with LiDAR point clouds, and hand-labelled ground truth, MMCBE represents the first multi-modality one in the field. This dataset aims to establish benchmark methods for crop biomass quantification and foster the development of vision-based approaches. We have rigorously evaluated state-of-the-art crop biomass estimation methods using MMCBE and ventured into additional potential applications, such as 3D crop reconstruction from drone imagery and novel-view rendering. With this publication, we are making our comprehensive dataset available to the broader community. © 2024 IEEE.

关键词： 3D reconstruction biomass prediction dataset

来源：评论

学校读者我要写书评

暂无评论

Research on parameterized modeling and generation of Chinese Chainmail pattern 4

Research on parameterized modeling and generation of Chinese...

引用

4th International conference on Computer Graphics, image, and Virtualization, ICCGIV 2024

作者： Wang, Zhen Zhang, Pengsong Zhu, Siyuan Lei, Qian Sun, Shunyao Institute of Interdisciplinary Studies Hunan Normal University Changsha410023 China College of Engineering and Design Hunan Normal University Changsha410023 China

ISBN: (纸本)9781510683242

The Chinese chainmail pattern has a rich historical lineage, constituting a mathematically precise and aesthetically ordered geometric manifestation originating from ancient chainmail armor. It stands as an exemplar among the traditional Chinese patterns. However, contemporary research on the Chinese chainmail pattern confronts challenges associated with its insufficient cultural connotation, deficient parameter expression methods, and a notable absence of modern design transformation and innovation. In the era of booming digitization and the Internet, the integration of computer technology into the inventive redesign of geometric traditional patterns, with the Chinese chainmail pattern being a striking example, has the potential to breathe life into these ancient patterns within the framework of modern design. This not only revitalizes traditional patterns but also makes them more prolific and easy to communication and application. This article positions the developmental trajectory of the Chinese chainmail pattern as its inception point. By methodically enhancing its reconstruction and iterating digitally using parametric techniques, this study attempts to amalgamate the traditional Chinese chainmail pattern with contemporary design paradigms. This amalgamation is subsequently applied to the field of modern product design, thus offering novel perspectives and innovative approaches for the transformation of modern design. © 2024 SPIE.

关键词： Design Visualization Mathematical modeling Modeling data modeling Product engineering reconstruction algorithms Chemical elements Engineering Reflection

来源：评论

学校读者我要写书评

暂无评论

Graph-Based Compression of incomplete 3D Photoacoustic data 25th

Graph-Based Compression of Incomplete 3D Photoacoustic Data

引用

25th International conference on Medical image Computing and Computer Assisted Intervention (MICCAI)

作者： Liao, Weihang Zheng, Yinqiang Kajita, Hiroki Kishi, Kazuo Sato, Imari Tokyo Inst Technol Tokyo Japan Univ Tokyo Tokyo Japan Keio Univ Tokyo Japan Natl Inst Informat Tokyo Japan

ISBN: (纸本)9783031164460;9783031164453

Photoacoustic imaging (PAI) is a newly emerging bimodal imaging technology based on the photoacoustic effect;specifically, it uses sound waves caused by light absorption in a material to obtain 3D structure data noninvasively. PAI has attracted attention as a promising measurement technology for comprehensive clinical application and medical diagnosis. Because it requires exhaustively scanning an entire object and recording ultrasonic waves from various locations, it encounters two problems: a long imaging time and a huge data size. To reduce the imaging time, a common solution is to apply compressive sensing (CS) theory. CS can effectively accelerate the imaging process by reducing the number of measurements, but the data size is still large, and efficient compression of such incomplete data remains a problem. In this paper, we present the first attempt at direct compression of incomplete 3D PA observations, which simultaneously reduces the data acquisition time and alleviates the data size issue. Specifically, we first use a graph model to represent the incomplete observations. Then, we propose three coding modes and a reliability-aware rate-distortion optimization (RDO) to adaptively compress the data into sparse coefficients. Finally, we obtain a coded bit stream through entropy coding. We demonstrate the effectiveness of our proposed framework through both objective evaluation and subjective visual checking of real medical PA data captured from patients.

关键词： Photoacoustic Compression Graph signal processing

来源：评论

学校读者我要写书评

暂无评论

Development of 3D image reconstruction Method for Beam Online PET Using Irradiation Log data

Development of 3D Image Reconstruction Method for Beam Onlin...

引用

2022 IEEE Nuclear Science Symposium, Medical Imaging conference, and Room Temperature Semiconductor Detector conference, IEEE NSS MIC RTSD 2022

作者： Yamaguchi, Takashi Sumitomo Heavy Industries Ltd Industrial Equipment Division Yokosuka Japan

ISBN: (纸本)9781665488723

In radiation therapy, confirming that the dose distribution has been formed as planned is necessary. The proton dose distribution cannot be measured since it forms the Bragg peak and stops inside the body. The beam online positron emission tomography (PET) onboard the proton therapy device is used to measure the deposited dose distribution by the proton beam. In this study, it is described that the 3D image reconstruction method from an opposed detector data of OnlinePET using the irradiated log data as time-of-flight (TOF) information. This method was confirmed by Monte Carlo simulation using Geant4. In the image obtained by projecting the 3D reconstructed image, it is possible to discriminate between the irradiated and non-irradiated areas. This study demonstrated the possibility of estimating dose distribution from 3D images reconstructed by OnlinePET data. © 2022 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

data reduction pipeline for the METIS integral field spectrograph 8

Data reduction pipeline for the METIS integral field spectro...

引用

conference on Software and Cyberinfrastructure for Astronomy VIII

作者： Balaz, Martin Czoske, Oliver Leschinski, Kieran Buddelmeijer, Hugo Otten, Gilles P. P. L. Karr, Jennifer Yan, Chi-Hung Kausch, Wolfgang Univ Wien Turkenschanzstr 17 Vienna Austria Acad Sinica Inst Astron & Astrophys Roosevelt Rd Taipei 10617 Taiwan Univ Innsbruck Inst Astro & Teilchenphys Technikerstr 25-8 A-6020 Innsbruck Austria

ISBN: (纸本)9781510675261;9781510675254

We present the integral field unit part of the data reduction pipeline for METIS (Mid-infrared ELT imager and Spectrograph), a first-generation infrared instrument that will be installed on the Extremely Large Telescope. The described software covers the entire process of correcting the instrumental effects and reconstructing the hyperspectral image. Apart from standard correction procedures common to virtually all digital imagers, the pipeline includes methods for distortion calibration, wavelength and flux calibration, correction of telluric absorption, reconstruction of the spectral cube with special emphasis on resampling the data only once, and finally algorithms for spatial and spectral dithering of multiple exposures taken at different field orientations and shifts, possibly taken many months apart. The pipeline has already passed the final design review and its implementation is underway.

关键词： integral field spectrograph pipeline ELT

来源：评论

学校读者我要写书评

暂无评论

3D channel detection workflow using spectral decomposition for colorized image segmentation 4

3D channel detection workflow using spectral decomposition f...

引用

4th EAGE Digitalization conference and Exhibition

作者： Boillot, L. Shreif, M. TotalEnergies France

ISBN: (纸本)9789462824850

Channels can form complex geological features, especially when they are discontinuous or eroded. Relying on grayscale-images coming from single seismic attribute computation to detect such channelized systems is challenging, even with artificial intelligence. We propose a robust workflow that combines: a spectral decomposition blending to form RGB-colored images, used then as multi-attribute data input of a simple 2D U-net in an active learning strategy;and a dense stratigraphic layering computation, allowing a robust 3D reconstruction on the multi-2D prediction interpolation. We illustrated result comparison on two real dataset experiments, whether the channels are visible as well or not using a single-attribute (coherency) against our multiattributes (frequencies) approach. In both cases, the predictions on RGB-colored images from the spectral decomposition retrieve the channels and with high confidence. Besides, the 3D extractions reveal continuous objects thanks to the stratigraphic layering of the Relative Geological Time cube computation. © 4th EAGE Digitalization conference and Exhibition 2024.

关键词： Stratigraphy

来源：评论

学校读者我要写书评

暂无评论

User-Driven Customization in 3D Generation: Improving Stable Fast 3D with Inpainting Methods

User-Driven Customization in 3D Generation: Improving Stable...

引用

International conference on Inventive Computation Technologies (ICICT)

作者： Rahul A J. Anitha Division of Computer Science and Engineering Karunya Institute of Technology and Sciences Coimbatore India

ISBN: (数字)9798331512248

ISBN: (纸本)9798331512255

Stable Fast 3D is widely recognized for its remarkable capacity to generate 3D models from a single 2D image in as little as 0.5 seconds. This can be further improved upon by utilizing text-to-image latent diffusion especially using the inpainting technique in the stable diffusion. The purpose of this work is to improve the quality and fidelity of the generation of 3D models by allowing user-guided customizations during the reconstruction process. Inpainting confronts two significant challenges: incomplete or noisy input data, and visualization differences, by completing unobserved areas and improving input textures. Inpainting enables users to iteratively modify their inputs, and potentially provide more coherent and aesthetically pleasing final 3D models. Experimental results indicate that by utilizing inpainting incoporated with Stable Fast 3D, increases the model precision, while retaining the original speed of model generation. The method proposed in this paper expands the use of 3D reconstruction techniques to other domains including gaming, virtual reality, and product design by providing a solution that is both more interactive and easier to create high-quality 3D assets.

关键词： Solid modeling Visualization Three-dimensional displays image resolution Computational modeling Lighting Virtual reality Hardware Usability image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Real-time MR-based 3D motion monitoring using raw k-space data 7

Real-time MR-based 3D motion monitoring using raw k-space da...

引用

7th International conference on Medical Imaging with Deep Learning, MIDL 2024

作者： Krusen, Marius Ernst, Floris Institute for Robotics and Cognitive Systems University of Lübeck Lübeck Germany

Due to its great soft-tissue contrast and non-invasive nature, magnetic resonance imaging (MRI) is uniquely qualified for motion monitoring during radiotherapy. However, real-time capabilities are limited by its long acquisition times, particularly in 3D, and require highly undersampling k-space resulting in lower image resolution and image artifacts. In this paper, we propose a simple recurrent neural network (RNN) architecture to continually estimate target motion from single k-space spokes. By directly using the incoming k-space data, additional image reconstruction steps are avoided and less data is required between estimations achieving a latency of only a few milliseconds. The 4D XCAT phantom was used to generate realistic data of the abdomen affected by respiratory and cardiac motion and a simulated lesion inserted into the liver acted as the target. We show that using a Kooshball trajectory to sample 3D k-space gives superior results compared to a stack-of-stars (SoS) trajectory. The RNN quickly learns the motion pattern and can give new motion estimations at a frequency of more than 230 Hz, demonstrating the feasibility of drastically improving latency of MR-based motion monitoring systems. © 2024 CC-BY 4.0, M. Krusen & F. Ernst.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

PET image reconstruction Using Deep image Prior And Graph Laplacian Regularization 34

PET Image Reconstruction Using Deep Image Prior And Graph La...

引用

34th Chinese Control and Decision conference (CCDC)

作者： Hui, Chengxuan Sheng, Yuxia Xiong, Dan Chai, Li Wuhan Univ Sci & Technol Sch Informat Sci & Engn Wuhan 430081 Peoples R China

ISBN: (纸本)9781665478960

Positron Emission Tomography (PET) is a primary tool in the diagnosis and treatment of cancer, heart diseases and neurological diseases. However, PET images reconstructed using traditional algorithms suffer from low spatial resolution due to the low signal-to-noise ratio of PET scan data. To improve the quality of PET images, this paper proposes a new PET image reconstruction algorithm. The PET image is represented by an untrained U-net and the MR image is adopted to construct the graph Laplacian regularization term to preserve structural information. We formulate a constrained likelihood maximization problem and derive the objective function for each iteration. The proposed method does not require any training pairs and ordered subsets can be introduced for GPU memory reduction. Experiments on the simulated and in vivo PET datasets show that the proposed method outperforms the MLEM with Gaussian post-filtering method, the kernelized EM method using MR prior and the DIPRecon method.

关键词： PET image reconstruction Deep image Prior Graph Laplacian Regularization Maximum Likelihood Expectation Maximization

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500页 << < 63 64 65 66 67 68 69 70 71 72 > >>

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：