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101-110 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：

10th international Workshop on Clinical image-Based Procedures, CLIP 2021, 2nd MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, 1st MICCAI Workshop, LL-COVID19, 1st Secure and Privacy-Preserving Machine Learning for medical Imaging Workshop and Tutorial, PPML 2021, held in conjunction with 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

10th International Workshop on Clinical Image-Based Procedur...

引用

10th international Workshop on Clinical image-Based Procedures, CLIP 2021, 2nd MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, 1st MICCAI Workshop, LL-COVID19, 1st Secure and Privacy-Preserving Machine Learning for medical Imaging Workshop and Tutorial, PPML 2021, held in conjunction with 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

ISBN: (纸本)9783030908737

the proceedings contain 17 papers. the special focus in this conference is on Clinical image-Based Procedures. the topics include: DCL preface;LL-COVID-19 preface;PPML preface;intestine Segmentation with Small Computational Cost for Diagnosis Assistance of Ileus and Intestinal Obstruction;multi-task Federated Learning for Heterogeneous Pancreas Segmentation;federated Learning in the Cloud for Analysis of medical images - Experience with Open Source Frameworks;on the Fairness of Swarm Learning in Skin Lesion Classification;Lessons Learned from the Development and Application of medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next;the Role of Pleura and Adipose in Lung Ultrasound AI;DuCN: Dual-Children Network for medical Diagnosis and Similar Case Recommendation Towards COVID-19;data Imputation and Reconstruction of Distributed Parkinson’s Disease Clinical Assessments: A Comparative Evaluation of Two Aggregation Algorithms;defending medical image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics;generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning;Bayesian Graph Neural Networks for EEG-Based Emotion Recognition;ViTBIS: Vision Transformer for Biomedical image Segmentation;Attention-Guided Pancreatic Duct Segmentation from Abdominal CT Volumes;development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning;learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback.

关键词：

来源：评论

学校读者我要写书评

暂无评论

2nd international Workshop on Advances in Simplifying medical UltraSound, ASMUS 2021 held in conjunction with 24th international conference on medical image computing and computer-assisted intervention, MICCAI 2021

2nd International Workshop on Advances in Simplifying Medica...

引用

2nd international Workshop on Advances in Simplifying medical UltraSound, ASMUS 2021 held in conjunction with 24th international conference on medical image computing and computer-assisted intervention, MICCAI 2021

ISBN: (纸本)9783030875824

the proceedings contain 22 papers. the special focus in this conference is on Advances in Simplifying medical UltraSound. the topics include: Evaluation of Low-Cost Hardware Alternatives for 3D Freehand Ultrasound Reconstruction in image-Guided Neurosurgery;Application Potential of Robot-Guided Ultrasound During CT-Guided interventions;towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound;efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation;contrastive Learning for View Classification of Echocardiograms;Imaging Biomarker Knowledge Transfer for Attention-Based Diagnosis of COVID-19 in Lung Ultrasound Videos;endoscopic Ultrasound image Synthesis Using a Cycle-Consistent Adversarial Network;realistic Ultrasound image Synthesis for Improved Classification of Liver Disease;adaptable image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability;multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound;deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography;pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming;automatic Fetal Gestational Age Estimation from First Trimester Scans;development and Evaluation of Intraoperative Ultrasound Segmentation with Negative image Frames and Multiple Observer Labels;automatic Tomographic Ultrasound Imaging Sequence Extraction of the Anal Sphincter;Lung Ultrasound Segmentation and Adaptation Between COVID-19 and Community-Acquired Pneumonia;an Efficient Tracker for thyroid Nodule Detection and Tracking During Ultrasound Screening;transBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography;Adversarial Affine Registration for Real-Time Intraoperative Registration of 3-D US-US for Brain Shift Correction;robust Ultrasound-to-Ultrasound Registration for Intra-operative Brain Shift Correction with a Siamese Neural Network.

关键词：

来源：评论

学校读者我要写书评

暂无评论

5th Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging, MSKI 2017 Held in Conjunction with 20th international conference on medical image computing and computer-assisted intervention, MICCAI 2017

5th Workshop on Computational Methods and Clinical Applicati...

引用

5th Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging, MSKI 2017 Held in Conjunction with 20th international conference on medical image computing and computer-assisted intervention, MICCAI 2017

ISBN: (纸本)9783319741123

the proceedings contain 13 papers. the special focus in this conference is on Computational Methods and Clinical Applications in Musculoskeletal Imaging. the topics include: Automatic full femur segmentation from computed tomography datasets using an atlas-based approach;classification of osteoporotic vertebral fractures using shape and appearance modelling;DSMS-FCN: A deeply supervised multi-scale fully convolutional network for automatic segmentation of intervertebral disc in 3D MR images;shape-aware deep convolutional neural network for vertebrae segmentation;Automated characterization of body composition and frailty with clinically acquired CT;unfolded cylindrical projection for rib fracture diagnosis;3D cobb angle measurements from scoliotic mesh models with varying face-vertex density;Automatic localization of the lumbar vertebral landmarks in CT images with context features;Joint multimodal segmentation of clinical CT and MR from hip arthroplasty patients;reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume;Segmentation of pathological spines in CT images using a two-way CNN and a collision-based model.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd international Workshop on Uncertainty for Safe Utilization of Machine Learning in medical Imaging, UNSURE 2021, and the 6th international Workshop on Perinatal, Preterm and Paediatric image Analysis, PIPPI 2021, held in conjunction with the 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

3rd International Workshop on Uncertainty for Safe Utilizati...

引用

3rd international Workshop on Uncertainty for Safe Utilization of Machine Learning in medical Imaging, UNSURE 2021, and the 6th international Workshop on Perinatal, Preterm and Paediatric image Analysis, PIPPI 2021, held in conjunction with the 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

ISBN: (纸本)9783030877347

the proceedings contain 27 papers. the special focus in this conference is on Uncertainty for Safe Utilization of Machine Learning in medical Imaging. the topics include: Robust Selective Classification of Skin Lesions with Asymmetric Costs;confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis;novel Disease Detection Using Ensembles with Regularized Disagreement;automatic Placenta Abnormality Detection Using Convolutional Neural Networks on Ultrasound Texture;Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction;Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI;myelination of Preterm Brain Networks at Adolescence;A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI;Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss;accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic;Fetal Brain MRI Measurements Using a Deep Learning Landmark Network with Reliability Estimation;CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI;Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes;assessment of Regional Cortical Development through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound;texture-Based Analysis of Fetal Organs in Fetal Growth Restriction;Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI;analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis;predicting Preterm Birth Using Multimodal Fetal Imaging;Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR;improving the Reliability of Semantic Segmentation of medical images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning.

关键词：

来源：评论

学校读者我要写书评

暂无评论

4th international Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

4th International Workshop on Predictive Intelligence in Med...

引用

4th international Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

ISBN: (纸本)9783030876012

the proceedings contain 25 papers. the special focus in this conference is on Predictive Intelligence in Medicine. the topics include: Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance;self-guided Multi-attention Network for Periventricular Leukomalacia Recognition;opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray;multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer;Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network;probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution;a Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis Using Ultrasonography;prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Multi-scale Patch Learning with Mammography;the Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification;a Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint;anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head;towards Cancer Patients Classification Using Liquid Biopsy;foreseeing Survival through ‘Fuzzy Intelligence’: A Cognitively-Inspired Incremental Learning Based de novo Model for Breast Cancer Prognosis by Multi-Omics Data Fusion;improving Across Dataset Brain Age Predictions Using Transfer Learning;uncertainty-Based Dynamic Graph Neighborhoods for medical Segmentation;FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates;one Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction;Mixing-AdaSIN: Constructing a De-biased Dataset Using

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the 1st MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

3rd MICCAI Workshop on Domain Adaptation and Representation ...

引用

3rd MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the 1st MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with 24th international conference on medical image computing and computer assisted intervention, MICCAI 2021

ISBN: (纸本)9783030877217

the proceedings contain 23 papers. the special focus in this conference is on Domain Adaptation and Representation Transfer. the topics include: Learning from Partially Overlapping Labels: image Segmentation Under Annotation Shift;unsupervised Domain Adaption via Similarity-Based Prototypes for Cross-Modality Segmentation;classification and Generation of Microscopy images with Plasmodium Falciparum via Artificial Neural Networks Using Low Cost Settings;Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN;Low-Dose Dynamic CT Perfusion Denoising Without Training Data;recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory;COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging;inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning;self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning;sickle Cell Disease Severity Prediction from Percoll Gradient images Using Graph Convolutional Networks;continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings;deep Learning Based Automatic Detection of Adequately Positioned Mammograms;can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?;FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation;adversarial Continual Learning for Multi-domain Hippocampal Segmentation;self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading;self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation;stop throwing Away Discriminators! Re-using Adversaries for Test-Time Training;transductive image Segmentation: Self-training and Effect of Uncertainty Estimation;Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MR

关键词：

来源：评论

学校读者我要写书评

暂无评论

10th international Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th international Workshop on Clinical image-Based Procedures, CLIP 2020, held in conjunction with the 23rd international conference on medical image computing and computer assisted intervention, MICCAI 2020

10th International Workshop on Multimodal Learning for Clini...

引用

10th international Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th international Workshop on Clinical image-Based Procedures, CLIP 2020, held in conjunction with the 23rd international conference on medical image computing and computer assisted intervention, MICCAI 2020

ISBN: (纸本)9783030609450

the proceedings contain 13 papers. the special focus in this conference is on Multimodal Learning for Clinical Decision Support. the topics include: Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays;LUCAS: LUng CAncer Screening with Multimodal Biomarkers;automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound;Prediction of Type II Diabetes Onset with Computed Tomography and Electronic medical Records;a Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography;image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement;3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research;learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision;single-Shot Deep Volumetric Regression for Mobile medical Augmented Reality;A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge;adversarial Prediction of Radiotherapy Treatment Machine Parameters.

关键词：

来源：评论

学校读者我要写书评

暂无评论

6th international Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, held in conjunction with the 22nd international conference on medical image computing and computer assisted intervention, MICCAI 2019

6th International Workshop and Challenge on Computational Me...

引用

6th international Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, held in conjunction with the 22nd international conference on medical image computing and computer assisted intervention, MICCAI 2019

ISBN: (纸本)9783030397517

the proceedings contain 14 papers. the special focus in this conference is on Computational Methods and Clinical Applications for Spine Imaging. the topics include: A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment;automated Spinal Curvature Assessment from X-Ray images Using Landmarks Estimation Network via Rotation Proposals;automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks;Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks;preface;vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape;automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression;automatic Spine Curvature Estimation by a Top-Down Approach;seg4Reg Networks for Automated Spinal Curvature Estimation;accurate Automated Keypoint Detections for Spinal Curvature Estimation;Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT;conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures.

关键词：

来源：评论

学校读者我要写书评

暂无评论

11th international Workshop on Machine Learning in medical Imaging, MLMI 2020, held in conjunction with the 23rd international conference on medical image computing and computer assisted intervention, MICCAI 2020

11th International Workshop on Machine Learning in Medical I...

引用

11th international Workshop on Machine Learning in medical Imaging, MLMI 2020, held in conjunction with the 23rd international conference on medical image computing and computer assisted intervention, MICCAI 2020

ISBN: (纸本)9783030598600

the proceedings contain 68 papers. the special focus in this conference is on Machine Learning in medical Imaging. the topics include: Out-of-Distribution Detection for Skin Lesion images with Deep Isolation Forest;A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation;Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network;robust Multiple Sclerosis Lesion Inpainting with Edge Prior;segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation;GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes;anatomy-Aware Cardiac Motion Estimation;division and Fusion: Rethink Convolutional Kernels for 3D medical image Segmentation;LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI;Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation;error Attention Interactive Segmentation of medical image through Matting and Fusion;boundary-Aware Network for Kidney Tumor Segmentation;o-Net: An Overall Convolutional Network for Segmentation Tasks;label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints;eczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis;deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced medical image Segmentation;Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer;exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks;detection of Ischemic Infarct Core in Non-contrast Computed Tomography;bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers;extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients;A Novel fMRI Representation Learning Framework with GAN;structural Connectivity Enriched Functional Brain Network U

关键词：

来源：评论

学校读者我要写书评

暂无评论

10th international Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2019, held in conjunction with the 22nd international conference on medical image computing and computer assisted intervention, MICCAI 2019

10th International Workshop on Statistical Atlases and Compu...

引用

10th international Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2019, held in conjunction with the 22nd international conference on medical image computing and computer assisted intervention, MICCAI 2019

ISBN: (纸本)9783030390730

the proceedings contain 42 papers. the special focus in this conference is on Statistical Atlases and Computational Models of the Heart. the topics include: 3D Left Ventricular Segmentation from 2D Cardiac MR images Using Spatial Context;towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformations;conditional Generative Adversarial Networks for the Prediction of Cardiac Contraction from Individual Frames;learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension;multimodal Cardiac Segmentation Using Disentangled Representation Learning;DeepLA: Automated Segmentation of Left Atrium from interventional 3D Rotational Angiography Using CNN;non-invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-Driven or Model-Based?;deep Learning Surrogate of Computational Fluid Dynamics for thrombus Formation Risk in the Left Atrial Appendage;end-to-end Cardiac Ultrasound Simulation for a Better Understanding of image Quality;Probabilistic Motion Modeling from medical image Sequences: Application to Cardiac Cine-MRI;Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simulation;deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training;Style Data Augmentation for Robust Segmentation of Multi-modality Cardiac MRI;Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation;An Automatic Cardiac Segmentation Framework Based on Multi-sequence MR image;Cardiac Segmentation of LGE MRI with Noisy Labels;Pseudo-3D Network for Multi-sequence Cardiac MR Segmentation;SK-Unet: An Improved U-Net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR;Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network;Deep Learning Based Multi-modal Cardiac MR image Segmentation;Segmentation of Multimodal Myocardial images Using Shape-Transfer GAN;Automated Multi-sequence Cardiac MRI Segmentation Using S

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 << < 7 8 9 10 11 12 13 14 15 16 > >>

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：