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

2,658 篇 会议
127 篇 期刊文献
89 册 图书

馆藏范围

2,873 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,384 篇 工学
- 2,166 篇 计算机科学与技术...
- 1,124 篇 生物医学工程（可授...
- 935 篇 软件工程
- 550 篇 光学工程
- 298 篇 生物工程
- 268 篇 电气工程
- 226 篇 电子科学与技术（可...
- 183 篇 信息与通信工程
- 164 篇 控制科学与工程
- 84 篇 仪器科学与技术
- 42 篇 核科学与技术
- 30 篇 力学（可授工学、理...
- 28 篇 化学工程与技术
- 24 篇 安全科学与工程
- 23 篇 机械工程
- 23 篇 动力工程及工程热...
- 20 篇 建筑学
1,834 篇 医学
- 1,359 篇 特种医学
- 1,009 篇 临床医学
- 402 篇 基础医学(可授医学...
- 299 篇 药学(可授医学、理...
- 209 篇 医学技术（可授医学...
- 30 篇 公共卫生与预防医...
692 篇 理学
- 355 篇 数学
- 354 篇 生物学
- 329 篇 物理学
- 111 篇 统计学（可授理学、...
- 45 篇 化学
108 篇 管理学
- 66 篇 图书情报与档案管...
- 44 篇 管理科学与工程(可...
9 篇 教育学
7 篇 农学
4 篇 经济学
2 篇 法学

主题

324 篇 image segmentati...
127 篇 image registrati...
110 篇 deep learning
110 篇 magnetic resonan...
109 篇 medical imaging
65 篇 image enhancemen...
62 篇 image reconstruc...
59 篇 medical image se...
57 篇 segmentation
57 篇 artificial intel...
56 篇 image processing...
46 篇 pattern recognit...
37 篇 health informati...
37 篇 image classifica...
36 篇 image analysis
34 篇 convolutional ne...
33 篇 computer graphic...
33 篇 image processing
31 篇 deformation
31 篇 computerized tom...

机构

32 篇 ucl ctr med imag...
19 篇 simon fraser uni...
18 篇 ucl ctr med imag...
17 篇 centre for medic...
16 篇 shenzhen univ ma...
16 篇 imperial coll lo...
16 篇 shenzhen univ me...
14 篇 biomedical image...
14 篇 national center ...
14 篇 univ penn dept r...
13 篇 hong kong univ s...
13 篇 chinese univ hon...
12 篇 shanghai united ...
12 篇 department of co...
12 篇 univ n carolina ...
12 篇 univ penn dept r...
10 篇 college of physi...
10 篇 harvard med sch ...
10 篇 siemens corp res...
9 篇 yale univ dept b...

作者

78 篇 rueckert daniel
61 篇 shen dinggang
50 篇 navab nassir
49 篇 hamarneh ghassan
46 篇 ourselin sebasti...
41 篇 yang guang-zhong
24 篇 glocker ben
23 篇 ni dong
22 篇 wang qian
21 篇 hawkes david j.
21 篇 alexander daniel...
21 篇 davatzikos chris...
19 篇 golland polina
19 篇 abugharbieh rafe...
19 篇 sato yoshinobu
19 篇 fu huazhu
18 篇 yang xin
18 篇 stoyanov danail
18 篇 langs georg
18 篇 bai wenjia

语言

2,820 篇 英文
49 篇 其他
6 篇 中文

检索条件"任意字段=5th International Conference on Medical Image Computing and Computer-Assisted Intervention"

共 2874 条记录，以下是61-70 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：

24th international conference on medical image computing and computer-assisted intervention, MICCAI 2021

24th International Conference on Medical Image Computing and...

引用

24th international conference on medical image computing and computer-assisted intervention, MICCAI 2021

ISBN: (纸本)9783030972806

the proceedings contain 27 papers. the special focus in this conference is on medical image computing and computer-assisted intervention. the topics include: Domain-Robust Mitotic Figure Detection with Style Transfer;semi-supervised Multilevel Symmetric image Registration Method for Magnetic Resonance Whole Brain images;progressive and Coarse-to-Fine Network for medical image Registration Across Phases, Modalities and Patients;fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021;the Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team);conditional Deep Laplacian Pyramid image Registration Network in Learn2Reg Challenge;unsupervised Volumetric Displacement Fields Using Cost Function Unrolling;Fraunhofer MEVIS image Registration Solutions for the Learn2Reg 2021 Challenge;Deformable Registration of Brain MR images via a Hybrid Loss;assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology images;autoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation;metaDetector: Detecting Outliers by Learning to Learn from Self-supervision;self-supervised medical Out-of-Distribution Using U-Net Vision Transformers;self-supervised 3D Out-of-Distribution Detection via Pseudoanomaly Generation;Cascade R-CNN for MIDOG Challenge;Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge;Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge;multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection;stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge;sk-Unet Model with Fourier Domain for Mitosis Detection;preface;domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers;mitoDet: Simple and Robust Mitosis Detection;SS3D: Unsupervised Out-of-Distribution Detection and Localization for medical Volumes;Detecting Mitosis Against Domain Shift

关键词：

来源：评论

学校读者我要写书评

暂无评论

1st Workshop on Artificial Intelligence over Infrared images for medical Applications, AIIIMA 2022, and the 1st Workshop on medical image assisted Biomarker Discovery, MIABID 2022, both held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

1st Workshop on Artificial Intelligence over Infrared Images...

引用

1st Workshop on Artificial Intelligence over Infrared images for medical Applications, AIIIMA 2022, and the 1st Workshop on medical image assisted Biomarker Discovery, MIABID 2022, both held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031196591

the proceedings contain 17 papers. the special focus in this conference is on Artificial Intelligence over Infrared images for medical Applications. the topics include: Counterfactual image Synthesis for Discovery of Personalized Predictive image Markers;CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans;diffusion Tensor Imaging Biomarkers for Parkinson’s Disease Symptomatology;prediction of Immune and Stromal Cell Population Abundance from Hepatocellular Carcinoma Whole Slide images Using Weakly Supervised Learning;enhancing Local Context of Histology Features in Vision Transformers;DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence;Predictive Biomarkers in Melanoma: Detection of BRAF Mutation Using Dermoscopy;Radiomics for Breast IR-Imaging Classification;early thermographic Screening of Breast Abnormality in Women with Dense Breast by thermal, Fractal, and Statistical Analysis;a Novel thermography-Based Artificial Intelligence-Powered Solution for Screening Breast Cancer;thermographic Toothache Screening by Artificial Intelligence;Non-fever COVID-19 Detection by Infrared Imaging;Automated thermal Screening for COVID-19 Using Machine Learning;An Automated Approach for Screening COVID-19 from thermal images Using Convolutional Neural Network;infrared Technology for Vascular Abnormality in Finding of Abdominal Aortic Aneurysm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

1st international Workshop on Ethical and Philosophical Issues in medical Imaging, EPIMI 2022, the 12th international WorksEthical and Philosophical Issues in medical Imaginghop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2022, and the 2nd international Workshop on Topological Data Analysis for Biomedical Imaging, TDA4BiomedicalImaging 2022, held in conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

1st International Workshop on Ethical and Philosophical Issu...

引用

1st international Workshop on Ethical and Philosophical Issues in medical Imaging, EPIMI 2022, the 12th international Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2022, and the 2nd international Workshop on Topological Data Analysis for Biomedical Imaging, TDA4BiomedicalImaging 2022, held in conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031232220

the proceedings contain 11 papers. the special focus in this conference is on Ethical and Philosophical Issues in medical Imaging. the topics include: Fetal Cortex Segmentation with Topology and thickness Loss Constraints;disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for medical image Analysis;separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms;a 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools;user-Centered Design for Surgical Innovations: A Ventriculostomy Case Study;visually Aware Metadata-Guided Supervision for Improved Skin Lesion Classification Using Deep Learning;predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information;hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer’s Disease;future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

1st international Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

1st International Workshop on Computational Mathematics Mode...

引用

1st international Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031172656

the proceedings contain 15 papers. the special focus in this conference is on Computational Mathematics Modeling in Cancer Analysis. the topics include: Light Annotation Fine Segmentation: Histology image Segmentation Based on VGG Fusion with Global Normalisation CAM;tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy;automatic computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework;accurate Breast Tumor Identification Using Computational Ultrasound image Features;is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma;repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases;MLCN: Metric Learning Constrained Network for Whole Slide image Classification with Bilinear Gated Attention Mechanism;NucDETR: End-to-End Transformer for Nucleus Detection in Histopathology images;self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors;CanDLE: Illuminating Biases in Transcriptomic Pan-Cancer Diagnosis;cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns;Modality-Collaborative AI Model Ensemble for Lung Cancer Early Diagnosis;preface.

关键词：

来源：评论

学校读者我要写书评

暂无评论

1st international Workshop on Applications of medical Artificial Intelligence, AMAI 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

1st International Workshop on Applications of Medical Artifi...

引用

1st international Workshop on Applications of medical Artificial Intelligence, AMAI 2022, held in conjunction with the 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031177200

the proceedings contain 16 papers. the special focus in this conference is on Applications of medical Artificial Intelligence. the topics include: A Deep Learning-Based Interactive medical image Segmentation Framework;deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological images;Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI;the Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation;OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs;wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection;Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA;machine Learning for Dynamically Predicting the Onset of Renal Replacement therapy in Chronic Kidney Disease Patients Using Claims Data;uncertainty-Aware Geographic Atrophy Progression Prediction from Fundus Autofluorescence;automated Assessment of Renal Calculi in Serial Computed Tomography Scans;Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning;analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development;ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks;CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI image Analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

25th International Conference on Medical Image Computing and...

引用

25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031164309

the proceedings contain 573 papers. the special focus in this conference is on medical image computing and computer-assisted intervention. the topics include: Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data;Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRI;one-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation;accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner;An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation;shape-Based Features of White Matter Fiber-Tracts Associated with Outcome in Major Depression Disorder;white Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning;segmentation of Whole-Brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points;tractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers;boundary-Enhanced Self-supervised Learning for Brain Structure Segmentation;multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression;Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification;joint Graph Convolution for Analyzing Brain Structural and Functional Connectome;decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network;hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network;interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity;Nonlinear Conditional Time-Varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels;fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits;multi-head Attention-Based Masked Sequence Model for Mapping Functional Brain Networks;Dual-HINet: Dual Hierarchical Integration N

关键词：

来源：评论

学校读者我要写书评

暂无评论

25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

25th International Conference on Medical Image Computing and...

引用

25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031164484

关键词：

来源：评论

学校读者我要写书评

暂无评论

25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

25th International Conference on Medical Image Computing and...

引用

25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031164514

关键词：

来源：评论

学校读者我要写书评

暂无评论

1st international Workshop on medical image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

1st International Workshop on Medical Image Learning with Li...

引用

1st international Workshop on medical image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with 25th international conference on medical image computing and computer assisted intervention, MICCAI 2022

ISBN: (纸本)9783031167591

the proceedings contain 22 papers. the special focus in this conference is on medical image Learning with Limited and Noisy Data. the topics include: CLINICAL: Targeted Active Learning for Imbalanced medical image Classification;real Time Data Augmentation Using Fractional Linear Transformations in Continual Learning;DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures;Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning;asymmetry and Architectural Distortion Detection with Limited Mammography Data;Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT;CVAD: An Anomaly Detector for medical images Based on Cascade VAE;visual Field Prediction with Missing and Noisy Data Based on Distance-Based Loss;partial Annotations for the Segmentation of Large Structures with Low Annotation Cost;image Quality Classification for Automated Visual Evaluation of Cervical Precancer;A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data;automated Skin Biopsy Analysis with Limited Data;abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment;meta Pixel Loss Correction for medical image Segmentation with Noisy Labels;Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction;universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training;boxShrink: From Bounding Boxes to Segmentation Masks;Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis;SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRI;optimizing Transformations for Contrastive Learning in a Differentiable Framework.

关键词：

来源：评论

学校读者我要写书评

暂无评论

25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

25th International Conference on Medical Image Computing and...

引用

25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031164422

关键词：

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288页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：