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

2,657 篇 会议
127 篇 期刊文献
89 册 图书

馆藏范围

2,872 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,389 篇 工学
- 2,174 篇 计算机科学与技术...
- 1,124 篇 生物医学工程（可授...
- 934 篇 软件工程
- 547 篇 光学工程
- 298 篇 生物工程
- 277 篇 电气工程
- 226 篇 电子科学与技术（可...
- 192 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...
700 篇 理学
- 364 篇 数学
- 354 篇 生物学
- 328 篇 物理学
- 111 篇 统计学（可授理学、...
- 45 篇 化学
102 篇 管理学
- 65 篇 图书情报与档案管...
- 38 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

323 篇 image segmentati...
127 篇 image registrati...
110 篇 deep learning
110 篇 magnetic resonan...
108 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...
38 篇 image classifica...
37 篇 health informati...
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

2,812 篇 英文
56 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 2873 条记录，以下是31-40 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：

1st Challenge on Segmentation of the Aorta, SEG.A. 2023 which was held in conjunction with 26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

1st Challenge on Segmentation of the Aorta, SEG.A. 2023 whic...

引用

1st Challenge on Segmentation of the Aorta, SEG.A. 2023 which was held in conjunction with 26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031532405

the proceedings contain 11 papers. the special focus in this conference is on Challenge on Segmentation of the Aorta. the topics include: M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography;Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge;A Data-Centric Approach for Segmenting the Aortic Vessel Tree: A Solution to SEG.A. Challenge 2023 Segmentation Task;Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge;position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation;misclassification Loss for Segmentation of the Aortic Vessel Tree;Deep Learning-Based Segmentation and Mesh Reconstruction of the Aortic Vessel Tree from CTA images;RASNet: U-Net-Based Robust Aortic Segmentation Network for Multicenter Datasets;optimizing Aortic Segmentation with an Innovative Quality Assessment: the Role of Global Sensitivity Analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

1st MICCAI Challenge Comprehensive Analysis and computing of Real-World medical images, CARE 2024 Held in Conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

1st MICCAI Challenge Comprehensive Analysis and Computing of...

引用

1st MICCAI Challenge Comprehensive Analysis and computing of Real-World medical images, CARE 2024 Held in Conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031870088

the proceedings contain 23 papers. the special focus in this conference is on Comprehensive Analysis and computing of Real-World medical images. the topics include: Preserving Cardiac Integrity: A Topology-Infused Approach to Whole Heart Segmentation;domain Generalization in Myocardial Pathology Segmentation with MixUp Augmentation;domain Generalized Myocardial Pathology Segmentation via Data Statistics Modeling and Feature Covariance Alignment;two-Stage Weighted Ensemble Method for Myocardial Edema and Scar Segmentation;ME-UNet: Enhancing Mamba for Myocardial Pathology Segmentation in Multi-center Multi-sequence CMR images;RGU-Mamba: An U-Mamba Network with Region-Based Training Optimized for Domain Generalization Applied to Myocardial Scar and Edema Segmentation;computing Assessment for Liver Fibrosis Staging Using Real-World MR images;Improved nn-UNet: Generalizable Multi-scale Attention-Driven Segmentation of Multi-sequence Myocardial Pathology;multi-model Ensemble and Region Specific Normalization for Myocardial Pathology Segmentation with Partial Modalities;multi-task Framework for Myocardial Pathological Segmentation on Multi-sequence Cardiac Magnetic Resonance;enhance Multi-modal and Multi-center Whole Heart Segmentation Using Data Augmentation and Model Calibration;A Left Atrial Automatic Segmentation Based on ResCAUNet;Left Atrial Scar Segmentation and Quantification Using Residual CBAM-EAM Attention UNet for LGE MRI;efficient Multi-Modal Whole Heart Segmentation via Cascaded U-Net: A Practical Solution for Clinical Settings;augmentation-Based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation;LA-CaRe-CNN: Cascading Refinement CNN for Left Atrial Scar Segmentation;Progressive Multi-channel Fusion Network for Myocardial Pathology Segmentation on Multi-modality CMR images;KA2ER: Knowledge Adaptive Amalgamation of ExpeRts for medical images Segmentation;A Two-Stage Self-Supervised Learning Framework for Automate

关键词：

来源：评论

学校读者我要写书评

暂无评论

26th international conference on medical image computing and computer-assisted intervention , MICCAI 2023

26th International Conference on Medical Image Computing and...

引用

26th international conference on medical image computing and computer-assisted intervention , MICCAI 2023

ISBN: (纸本)9783031474248

the proceedings contain 35 papers. the special focus in this conference is on medical image computing and computer-assisted intervention. the topics include: Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation;GPC: Generative and General Pathology image Classifier;towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation;concept Bottleneck with Visual Concept Filtering for Explainable medical image Classification;SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation;evaluation and Improvement of Segment Anything Model for Interactive Histopathology image Segmentation;task-Driven Prompt Evolution for Foundation Models;generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders;CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets;histopathological image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization;DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks;AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets;ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data;validation of Federated Unlearning on Collaborative Prostate Segmentation;federated Model Aggregation via Self-supervised Priors for Highly Imbalanced medical image Classification;FedAutoMRI: Federated Neural Architecture Search for MR image Reconstruction;Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation;splitFed Resilience to Packet Loss: Where to Split, that is the Question;test-Time Selection for Robust Skin Lesion Analysis;global and Local Explanations for Skin Cancer Diagnosis Using Prototypes;evidence-Driven Differential Diagnosis of Malignant Melanoma;an Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for D

关键词：

来源：评论

学校读者我要写书评

暂无评论

26th international conference on medical image computing and computer-assisted intervention , MICCAI 2023

26th International Conference on Medical Image Computing and...

引用

26th international conference on medical image computing and computer-assisted intervention , MICCAI 2023

ISBN: (纸本)9783031474002

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)9783031336577

the proceedings contain 25 papers. the special focus in this conference is on medical image computing and computer-assisted intervention. the topics include: Semi-supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment;image Quality Assessment Based on Multi-model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA images;an Improved U-Net for Diabetic Retinopathy Segmentation;a Vision Transformer Based Deep Learning Architecture for Automatic Diagnosis of Diabetic Retinopathy in Optical Coherence Tomography Angiography;Segmentation, Classification, and Quality Assessment of UW-OCTA images for the Diagnosis of Diabetic Retinopathy;data Augmentation by Fourier Transformation for Class-Imbalance: Application to medical image Quality Assessment;Automatic image Quality Assessment and DR Grading Method Based on Convolutional Neural Network;a Transfer Learning Based Model Ensemble Method for image Quality Assessment and Diabetic Retinopathy Grading;Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA images Using Transfer Learning;Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge;automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias;Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge;Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge;tackling Mitosis Domain Generalization in Histopathology images with Color Normalization;a Deep Learning Based Ensemble Model for Generalized Mitosis Detection in H &E Stained Whole Slide images;Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset;multi-task RetinaNet for Mitosis Detection;bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography images;deep Convolutional Neural Network for image Quality Assessment and Diabetic Retinopathy Grading;diabetic Retinal

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd Diabetic Foot Ulcers Grand Challenge, DFUC 2022, held in Conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

3rd Diabetic Foot Ulcers Grand Challenge, DFUC 2022, held in...

引用

3rd Diabetic Foot Ulcers Grand Challenge, DFUC 2022, held in Conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022

ISBN: (纸本)9783031263538

the proceedings contain 10 papers. the special focus in this conference is on Diabetic Foot Ulcers Grand Challenge. the topics include: HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEG for Diabetic Foot Ulcer image Segmentation;OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss;on the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness;capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution images;unconditionally Generated and Pseudo-Labeled Synthetic images for Diabetic Foot Ulcer Segmentation Dataset Extension;diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models;refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation;DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

26th International Conference on Medical Image Computing and...

引用

26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023

ISBN: (纸本)9783031438943

the proceedings contain 730 papers. the special focus in this conference is on international conference on medical image computing and computer-assisted intervention. the topics include: MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT images;MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI;Estimation of 3T MR images from 1.5T images Regularized with Physics Based Constraint;feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis;DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET image Reconstruction;Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT image Reconstructions;Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction;TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms;Computationally Efficient 3D MRI Reconstruction with Adaptive MLP;Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction;Building a Bridge: Close the Domain Gap in CT Metal Artifact Reduction;geometric Ultrasound Localization Microscopy;Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked image Modeling;Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction;FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction;topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model;MRIS: A Multi-modal Retrieval Approach for image Synthesis on Diverse Modalities;Dual Arbitrary Scale Super-Resolution for Multi-contrast MRI;Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty;trackerless Volume Reconstruction from Intraoperative Ultrasound images;Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction;Accurate Multi-contrast MRI Super-Resolution via a

关键词：

来源：评论

学校读者我要写书评

暂无评论

26th international conference on medical image computing and computer-assisted intervention, MICCAI 2023