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

2,462 篇 会议
122 篇 期刊文献
85 册 图书

馆藏范围

2,668 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,257 篇 工学
- 2,053 篇 计算机科学与技术...
- 1,059 篇 生物医学工程（可授...
- 842 篇 软件工程
- 503 篇 光学工程
- 263 篇 生物工程
- 225 篇 电气工程
- 191 篇 电子科学与技术（可...
- 144 篇 信息与通信工程
- 144 篇 控制科学与工程
- 77 篇 仪器科学与技术
- 33 篇 核科学与技术
- 28 篇 力学（可授工学、理...
- 22 篇 机械工程
- 22 篇 化学工程与技术
- 22 篇 安全科学与工程
- 18 篇 建筑学
1,767 篇 医学
- 1,334 篇 特种医学
- 958 篇 临床医学
- 365 篇 基础医学(可授医学...
- 260 篇 药学(可授医学、理...
- 207 篇 医学技术（可授医学...
- 29 篇 公共卫生与预防医...
629 篇 理学
- 327 篇 数学
- 320 篇 生物学
- 288 篇 物理学
- 106 篇 统计学（可授理学、...
- 33 篇 化学
- 16 篇 系统科学
92 篇 管理学
- 62 篇 图书情报与档案管...
- 32 篇 管理科学与工程(可...
11 篇 教育学
7 篇 农学
3 篇 经济学
3 篇 法学

主题

295 篇 image segmentati...
118 篇 image registrati...
106 篇 medical imaging
97 篇 magnetic resonan...
88 篇 deep learning
62 篇 image enhancemen...
60 篇 medical image se...
58 篇 image reconstruc...
57 篇 segmentation
54 篇 artificial intel...
53 篇 image processing...
43 篇 pattern recognit...
35 篇 health informati...
35 篇 image analysis
33 篇 image classifica...
30 篇 deformation
30 篇 computer graphic...
30 篇 computerized tom...
28 篇 contrastive lear...
28 篇 magnetic resonan...

机构

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

作者

78 篇 rueckert daniel
61 篇 shen dinggang
51 篇 navab nassir
48 篇 hamarneh ghassan
46 篇 ourselin sebasti...
41 篇 yang guang-zhong
23 篇 ni dong
23 篇 glocker ben
22 篇 wang qian
22 篇 davatzikos chris...
21 篇 alexander daniel...
20 篇 zhou s. kevin
19 篇 golland polina
19 篇 abugharbieh rafe...
19 篇 fu huazhu
19 篇 bai wenjia
18 篇 sato yoshinobu
18 篇 yang xin
17 篇 duncan james s.
17 篇 yap pew-thian

语言

2,656 篇 英文
8 篇 其他
6 篇 中文

检索条件"任意字段=8th International Conference on Medical Image Computing and Computer-Assisted Intervention"

共 2669 条记录，以下是11-20 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：

7th international Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, Held in Conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

7th International Workshop on Machine Learning in Clinical N...

引用

7th international Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, Held in Conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031787607

the proceedings contain 16 papers. the special focus in this conference is on Machine Learning in Clinical Neuroimaging. the topics include: Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning;hyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks;SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis;a Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children;SOE: SO(3)-Equivariant 3D MRI Encoding;towards a Foundation Model for Cortical Folding;a Lesion-Aware Edge-Based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia;DISARM: Disentangled Scanner-Free image Generation via Unsupervised image2image Translation;segmenting Small Stroke Lesions with Novel Labeling Strategies;a Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer’s Disease Sub-type Diagnosis;Surface-Based Parcellation and Vertex-wise Analysis of Ultra High-resolution ex vivo 7 tesla MRI in Alzheimer’s disease and related dementias;Self-supervised Pre-training Tasks for an fMRI Time-Series Transformer in Autism Detection;is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing;GAMing the Brain: Investigating the Cross-Modal Relationships Between Functional Connectivity and Structural Features Using Generalized Additive Models.

关键词：

来源：评论

学校读者我要写书评

暂无评论

9th international Skin Imaging Collaboration Workshop, ISIC 2024, 7th international Workshop on Interpretability of Machine Intelligence in medical image computing, iMIMIC 2024, Embodied AI and Robotics for Healthcare Workshop, EARth 2024 and 5th MICCAI Workshop on Distributed, Collaborative and Federated Learning, DeCaF 2024 held at 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

9th International Skin Imaging Collaboration Workshop, ISIC ...

引用

9th international Skin Imaging Collaboration Workshop, ISIC 2024, 7th international Workshop on Interpretability of Machine Intelligence in medical image computing, iMIMIC 2024, Embodied AI and Robotics for Healthcare Workshop, EARth 2024 and 5th MICCAI Workshop on Distributed, Collaborative and Federated Learning, DeCaF 2024 held at 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031776090

the proceedings contain 23 papers. the special focus in this conference is on Skin Imaging Collaboration, Interpretability of Machine Intelligence in medical image computing, Embodied AI and Robotics for Healthcare Workshop and MICCAI Workshop on Distributed, Collaborative and Federated Learning. the topics include: DeCaF 2024 Preface;i2M2Net: Inter/Intra-modal Feature Masking Self-distillation for Incomplete Multimodal Skin Lesion Diagnosis;from Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis;segmentation Style Discovery: Application to Skin Lesion images;a Vision Transformer with Adaptive Cross-image and Cross-Resolution Attention;lesion Elevation Prediction from Skin images Improves Diagnosis;DWARF: Disease-Weighted Network for Attention Map Refinement;PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans;Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data;interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis;TextCAVs: Debugging Vision Models Using Text;evaluating Visual Explanations of Attention Maps for Transformer-Based medical Imaging;Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI;EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting;VISAGE: Video Synthesis Using Action Graphs for Surgery;a Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery;SurgTrack: CAD-Free 3D Tracking of Real-World Surgical Instruments;MUTUAL: Towards Holistic Sensing and Inference in the Operating Room;Complex-Valued Federated Learning with Differential Privacy and MRI Applications;enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications;federated Impression for Learning with Distributed Heterogeneous Data;A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation;probing the Effic

关键词：

来源：评论

学校读者我要写书评

暂无评论

5th international Workshop on Advances in Simplifying medical Ultrasound, ASMUS 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

5th International Workshop on Advances in Simplifying Medica...

引用

5th international Workshop on Advances in Simplifying medical Ultrasound, ASMUS 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031736469

the proceedings contain 21 papers. the special focus in this conference is on Advances in Simplifying medical Ultrasound. the topics include: Do High-Performance image-to-image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer;PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement;PIPsUS: Self-supervised Point Tracking in Ultrasound;structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train;an Evaluation of Low-Cost Hardware on 3D Ultrasound Reconstruction Accuracy;Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound;automatic Facial Axes Standardization of 3D Fetal Ultrasound images;C-TRUS: A Novel Dataset and Initial Benchmark for Colon Wall Segmentation in Transabdominal Ultrasound;label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling;introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal Echocardiography;interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images;Enhanced Uncertainty Estimation in Ultrasound image Segmentation with MSU-Net;multi-site Class-Incremental Learning with Weighted Experts in Echocardiography;Masked Autoencoders for medical Ultrasound Videos Using ROI-Aware Masking;uncertainty-Based Multi-modal Learning for Myocardial Infarction Diagnosis Using Echocardiography and Electrocardiograms;fetal Ultrasound Video Representation Learning Using Contrastive Rubik’s Cube Recovery;LoRIS - Weakly-Supervised Anomaly Detection for Ultrasound images;unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models;diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd international Workshop on Cancer Prevention, detection and intervention, CaPTion 2024, held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

3rd International Workshop on Cancer Prevention, detection a...

引用

3rd international Workshop on Cancer Prevention, detection and intervention, CaPTion 2024, held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031733758

the proceedings contain 22 papers. the special focus in this conference is on Cancer Prevention, detection and intervention. the topics include: Classification of Endoscopy and Video Capsule images Using CNN-Transformer Model;multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases;seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings;performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification;on Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems;optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett’s Neoplasia;Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning;Refining Deep Learning Segmentation Maps with a Local thresholding Approach: Application to Liver Surface Nodularity Quantification in CT;Uncertainty-Aware Deep Learning Classification for MRI-Based Prostate Cancer Detection;Generalized Polyp Detection from Colonoscopy Frames Using Proposed EDF-YOLO8 Network;AI-assisted Laryngeal Examination System;UltraWeak: Enhancing Breast Ultrasound Cancer Detection with Deformable DETR and Weak Supervision;SelectiveKD: A Semi-supervised Framework for Cancer Detection in DBT through Knowledge Distillation and Pseudo-labeling;AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients;deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery;treatment Efficacy Prediction of Focused Ultrasound therapies Using Multi-parametric Magnetic Resonance Imaging;SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis;improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations;autoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy

关键词：

来源：评论

学校读者我要写书评

暂无评论

7th international Workshop on Predictive Intelligence in Medicine, PRIME 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

7th International Workshop on Predictive Intelligence in Med...

引用

7th international Workshop on Predictive Intelligence in Medicine, PRIME 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031745607

the proceedings contain 17 papers. the special focus in this conference is on Predictive Intelligence in Medicine. the topics include: Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging;RCT: Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence;gene-to-image: Decoding Brain images from Genetics via Latent Diffusion Models;physics-Guided Multi-view Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling;automated Patient-Specific Pneumoperitoneum Model Reconstruction for Surgical Navigation Systems in Distal Gastrectomy;MNA-net: Multimodal Neuroimaging Attention-Based Architecture for Cognitive Decline Prediction;Improving Brain MRI Segmentation with Multi-Stage Deep Domain Unlearning;DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity;Strongly Topology-Preserving GNNs for Brain Graph Super-Resolution;generative Hypergraph Neural Network for Multiview Brain Connectivity Fusion;identifying Brain Ageing Trajectories Using Variational Autoencoders with Regression Model in Neuroimaging Data Stratified by Sex and Validated Against Dementia-Related Risk Factors;integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction;self-Supervised Contrastive Learning for Consistent Few-Shot image Representations;Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI;Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2024 was held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

3rd Workshop on Computational Mathematics Modeling in Cancer...

引用

3rd Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2024 was held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031733598

the proceedings contain 12 papers. the special focus in this conference is on Computational Mathematics Modeling in Cancer Analysis. the topics include: Follicular Lymphoma Grading Based on 3D-DDcGAN and Bayesian CNN Using PET-CT images;Multi-channel Multi-model Fusion Module (MMFM) Based Circulating Abnormal Cells (CACs) Detection for Lung Cancer Early Diagnosis with Fluorescence in Situ Hybridization (FISH) images;domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation;Attention-Fusion Model for Multi-omics (AMMO) Data Integration in Lung Adenocarcinoma;PD-L1 Expression Prediction Using Scalable Multi Instance Transformer;improving Single-Source Domain Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor Segmentation;PANDA: Pneumonitis Anomaly Detection Using Attention U-Net;estimating the Average Treatment Effect Using Weighting Methods in Lung Cancer Immunotherapy;Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging;assessment of Radiomics Feature Repeatability and Reproducibility and their Generalizability Across image Modalities by Perturbation in Nasopharyngeal Carcinoma Patients.

关键词：

来源：评论

学校读者我要写书评

暂无评论

15th international Workshop on Machine Learning in medical Imaging, MLMI 2024 was held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

15th International Workshop on Machine Learning in Medical I...

引用

15th international Workshop on Machine Learning in medical Imaging, MLMI 2024 was held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031732836

the proceedings contain 63 papers. the special focus in this conference is on Machine Learning in medical Imaging. the topics include: IRUM: An image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound images;Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI;DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography;mitral Regurgitation Recogniton Based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification;Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT images;Lung-CADex: Fully Automatic Zero-Shot Detection and Classification of Lung Nodules in thoracic CT images;CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression;vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis;corticalEvolve: Age-Conditioned Ordinary Differential Equation Model for Cortical Surface Reconstruction;CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning;atherosclerotic Plaque Stability Prediction from Longitudinal Ultrasound images;Leveraging IHC Staining to Prompt HER2 Status Prediction from HE-Stained Histopathology Whole Slide images;VIMs: Virtual Immunohistochemistry Multiplex Staining via Text-to-Stain Diffusion Trained on Uniplex Stains;structural-Connectivity-Guided Functional Connectivity Representation for Multi-modal Brain Disease Classification;Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model;Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction;LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging;7T-Like T1-Weighted and TOF MRI Synthesis from 3T MRI with Multi-contrast Complementary Deep Learning;A Probabilistic Hadamard

关键词：

来源：评论

学校读者我要写书评

暂无评论

15th International Workshop on Machine Learning in Medical I...

引用

ISBN: (纸本)9783031732928

关键词：

来源：评论

学校读者我要写书评

暂无评论

1st Workshop on Topology- and Graph- Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

1st Workshop on Topology- and Graph- Informed Imaging Inform...

引用

1st Workshop on Topology- and Graph- Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024

ISBN: (纸本)9783031739668

the proceedings contain 13 papers. the special focus in this conference is on Topology- and Graph- Informed Imaging Informatics. the topics include: TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis;analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology;a Bispectral 3D U-Net for Rotation Robustness in medical Segmentation;restoring Connectivity in Vascular Segmentations Using a Learned Post-processing Model;multi-factor Component Tree Loss Function: A Topology-Preserving Method for Skeleton Segmentation from Bone Scintigrams;exploitation of Mapper Algorithm in Neuroimaging Applications: A Novel Framework for Outcomes Prediction;Topological Data Analysis of Resting-State fMRI Suggests Altered Brain Network Topology in Functional Dyspepsia: A Mapper-Based Parcellation Approach;P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI;Outlier Detection in Large Radiological Datasets Using UMAP;a Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging;topological Analysis of Seizure-Induced Changes in Brain Hierarchy through Effective Connectivity.

关键词：

来源：评论

学校读者我要写书评

暂无评论

15th international Workshop on Computational Diffusion MRI, CDMRI 2024, held in conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

15th International Workshop on Computational Diffusion MRI, ...

引用

15th international Workshop on Computational Diffusion MRI, CDMRI 2024, held in conjunction with 27th international conference on medical image computing and computer-assisted intervention, MICCAI 2024

ISBN: (纸本)9783031869198

the proceedings contain 19 papers. the special focus in this conference is on Computational Diffusion MRI. the topics include: Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains;synthesizing 3D Axon Morphology: Springs are All We Need;Randomly COMMITting: Iterative Convex Optimization for Microstructure-Informed Tractography;AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning;multi-dimensional Parameter Space Exploration for Streamline-Specific Tractography;cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction;can Transfer Learning Improve Supervised Segmentation of White Matter Bundles in Glioma Patients?;image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI;QID2: An image-Conditioned Diffusion Model for Q-Space Up-Sampling of DWI Data;Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI;Assessing Early Motor System Degeneration in the Spinal Cord of ALS Patients Using Diffusion MRI: An Exploratory Study;RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation;introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization;Learning Low-Rank Tensor Approximation for GPU-Based Tractography;deep Multivariate Autoencoder for Capturing Complexity in Brain Structure and Behaviour Relationships;heritability and Genetic Correlations Along the Corticospinal Tract;corpus Callosum Parcellation Methods: What Can Tractography Tell Us About them?.

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267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：