PART I、PART II和PART III。
Advanced MRI: Diffusion, fMRI, DCE(高级MRI:扩散,fMRI,DCE) | 概要 |
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1.Automatic Segmentation of Renal Compartments in DCE-MRI Images DCE-MRI图像中肾小段自动分割 |
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2.Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners 跨多个站点和扫描仪协调扩散MRI数据 |
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3.Track Filtering via Iterative Correction of TDI Topology 通过TDI拓扑的迭代校正跟踪过滤 |
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4.Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes 用于扩散MRI的新型单壳和多壳均匀采样方案使用球面代码 |
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5.q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans Q空间深度学习12倍和无模型扩散MRI扫描 |
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6.A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting 基于机器学习的光纤牵引方法使用分类器投票 |
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7.Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation 概率牵引和连接估计的对称维纳流程 |
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8.An Iterated Complex Matrix Approach for Simulation and Analysis of Diffusion MRI Processes 扩散MRI过程仿真与分析的迭代复杂矩阵方法 |
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9.Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances 使用连接特征和局部合成实例预测非常预料婴儿的电机功能 |
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10.Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors 使用1阶形状和第五级外观前沿进行分割肾DCE-MRI |
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11.Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis 随机分化解决方案对ASL FMRI数据分析的比较 |
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12.Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination 基于局部稀疏对应组合的MR图像预测CT替代品 |
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13.Robust Automated White Matter Pathway Reconstruction for Large Studies 鲁棒自动化白质途径重建大型研究 |
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14.Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes 用于微观结构回收的扩散MRI中的相位:朝着不对称扩散过程朝向轴突曲折 |
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15.Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI 压缩多分辨率扩散MRI的白质纤维取向稀疏贝叶斯推理 |
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16.Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder 使用多任务学习的疾病异质性存在下MRI的分类:对双相障碍的应用 |
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17.Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference 光纤连接模式引导的全脑FMRI信号的结构稀疏表示,用于功能网络推理 |
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18.Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data 功能MRI数据中血流动力学反应函数和体素激活的联合估计 |
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19.Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis 用扩散峰度定量纤维交叉中的微观结构 |
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20.Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? 哪种歧管应该用于扩散张量成像中的组比较? |
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21.Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images 多壳扩散加权图像的凸非负球形分解 |
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22.Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning 姿态球面极性傅里叶扩散MRI与最佳词典学习 |
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23.Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization 使用基数惩罚的响应函数组扩散划分局部化 |
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24.V–Bundles: Clustering Fiber Trajectories from Diffusion MRI in Linear Time V-Bundles:在线性时间中从扩散MRI聚类光纤轨迹 |
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25.Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke 评估平均明显的传播者的索引作为中风后轴突重塑的生物标志物 |
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26.Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer’s Disease 在预测模型中集成多峰前瞻,以实现阿尔茨海默病的功能表征 |
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27.Simultaneous Denoising and Registration for Accurate Cardiac Diffusion Tensor Reconstruction from MRI MRI准确的心脏扩散张量重建同时去噪和注册 |
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28.Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties 迭代子空间筛查,用于快速稀疏估计脑组织微观结构特性 |
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29.Elucidating Intravoxel Geometry in Diffusion-MRI: Asymmetric Orientation Distribution Functions (AODFs) Revealed by a Cone Model 在扩散-MRI中阐明透析器几何形状:锥形模型揭示的不对称取向分布函数(AODF) |
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30.Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding 通过监督随机坐标编码建模任务FMRI数据 |
Computer Assisted and Image-guided Interventions(计算机辅助和图像引导干预) | 概要 |
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1.Automatic Segmentation of Renal Compartments in DCE-MRI Images DCE-MRI图像中肾小段自动分割 |
|
2.Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners 跨多个站点和扫描仪协调扩散MRI数据 |
|
3.Track Filtering via Iterative Correction of TDI Topology 通过TDI拓扑的迭代校正跟踪过滤 |
|
4.Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes 用于扩散MRI的新型单壳和多壳均匀采样方案使用球面代码 |
|
5.q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans Q空间深度学习12倍和无模型扩散MRI扫描 |
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6.A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting 基于机器学习的光纤牵引方法使用分类器投票 |
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7.Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation 概率牵引和连接估计的对称维纳流程 |
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8.An Iterated Complex Matrix Approach for Simulation and Analysis of Diffusion MRI Processes 扩散MRI过程仿真与分析的迭代复杂矩阵方法 |
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9.Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances 使用连接特征和局部合成实例预测非常预料婴儿的电机功能 |
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10.Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors 使用1阶形状和第五级外观前沿进行分割肾DCE-MRI |
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11.Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis 随机分化解决方案对ASL FMRI数据分析的比较 |
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12.Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination 基于局部稀疏对应组合的MR图像预测CT替代品 |
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13.Robust Automated White Matter Pathway Reconstruction for Large Studies 鲁棒自动化白质途径重建大型研究 |
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14.Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes 用于微观结构回收的扩散MRI中的相位:朝着不对称扩散过程朝向轴突曲折 |
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15.Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI 压缩多分辨率扩散MRI的白质纤维取向稀疏贝叶斯推理 |
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16.Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder 使用多任务学习的疾病异质性存在下MRI的分类:对双相障碍的应用 |
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17.Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference 光纤连接模式引导的全脑FMRI信号的结构稀疏表示,用于功能网络推理 |
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18.Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data 功能MRI数据中血流动力学反应函数和体素激活的联合估计 |
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19.Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis 用扩散峰度定量纤维交叉中的微观结构 |
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20.Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? 哪种歧管应该用于扩散张量成像中的组比较? |
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21.Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images 多壳扩散加权图像的凸非负球形分解 |
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22.Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning 姿态球面极性傅里叶扩散MRI与最佳词典学习 |
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23.Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization 使用基数惩罚的响应函数组扩散划分局部化 |
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24.V–Bundles: Clustering Fiber Trajectories from Diffusion MRI in Linear Time V-Bundles:在线性时间中从扩散MRI聚类光纤轨迹 |
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25.Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke 评估平均明显的传播者的索引作为中风后轴突重塑的生物标志物 |
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26.Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer’s Disease 在预测模型中集成多峰前瞻,以实现阿尔茨海默病的功能表征 |
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27.Simultaneous Denoising and Registration for Accurate Cardiac Diffusion Tensor Reconstruction from MRI MRI准确的心脏扩散张量重建同时去噪和注册 |
|
28.Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties 迭代子空间筛查,用于快速稀疏估计脑组织微观结构特性 |
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29.Elucidating Intravoxel Geometry in Diffusion-MRI: Asymmetric Orientation Distribution Functions (AODFs) Revealed by a Cone Model 在扩散-MRI中阐明透析器几何形状:锥形模型揭示的不对称取向分布函数(AODF) |
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30.Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding 通过监督随机坐标编码建模任务FMRI数据 |
Computer Aided Diagnosis: Machine Learning(计算机辅助诊断:机器学习) | 概要 |
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1.Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks 自动胎儿超声标准平面检测使用知识转移经常性神经网络 |
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2.Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks 深神经网络的联合学习模型自动定位和脊柱CT中椎骨的鉴定 |
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3.Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning 利用多实例学习鉴定脑小血管疾病 |
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4.Why Does Synthesized Data Improve Multi-sequence Classification? 为什么合成数据改善多序列分类? |
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5.Label Stability in Multiple Instance Learning 在多实例学习中标记稳定性 |
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6.Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation 光谱林:学习表面数据,应用于皮质局部 |
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7.DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation Deeporgan:用于自动胰腺分段的多级深度卷积网络 |
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8.3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data 3D体积数据中有效和强大的地标检测的深度学习 |
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9.A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI 与休息状态FMRI的MCI识别深网络和隐马尔可夫模型的混合动力 |
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10.Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma 组合无监督的特征学习和Riesz小波用于组织病理学图像表示:识别Anplastic Medulloblastoma的应用 |
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11.Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks 卷积神经网络心脏CT血管造影自动冠状动脉钙分析 |
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12.A Random Riemannian Metric for Probabilistic Shortest-Path Tractography 概率最短路径探测器的随机黎曼公制 |
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13.Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms 乳房X线图中质量分割的深度学习和结构化预测 |
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14.Learning Tensor-Based Features for Whole-Brain fMRI Classification 学习全脑FMRI分类的基于卷的特征 |
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15.Prediction of Trabecular Bone Anisotropy from Quantitative Computed Tomography Using Supervised Learning and a Novel Morphometric Feature Descriptor 通过监督学习预测定量计算断层扫描的小梁骨各向异性的预测和新颖的形态学特征描述符 |
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16.Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation 通过稀疏多分辨率组织表示自动诊断卵巢癌 |
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17.Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme 通过高效的特征采样方案进行规模适应性森林培训 |
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18.Multiple Instance Cancer Detection by Boosting Regularised Trees 通过提升正则树木的多实例癌症检测 |
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19.Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation 椎骨定位和分割的不确定性驱动森林预测因子 |
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20.Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain 谁在与谁交谈:各向异性昆虫脑中的突触伴侣检测 |
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21.Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression 通过多输出回归直接和同时四室体积估计 |
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22.Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network 使用有效的位置敏感的深网络跨域综合医学图像 |
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23.Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties 分组总变化和稀疏性:分割处罚统计学习 |
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24.Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets Scandent树:不完整的多模式数据集随机森林学习方法 |
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25.Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier 具有MAX-MARINGURM多加平板分类器的解解疾病异质性 |
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26.Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data 边缘空间深度学习:体积图像数据中检测的高效架构 |
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27.Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis 黎曼歧管的非线性回归及其对神经图像分析的应用 |
Quantitative Image Analysis II: Classification, Detection, Features, and Morphology(定量图像分析II:分类,检测,特征和形态) | 概要 |
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1.Computer-Aided Detection and Quantification of Intracranial Aneurysms 颅内动脉瘤的计算机辅助检测和定量 |
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2.Discriminative Feature Selection for Multiple Ocular Diseases Classification by Sparse Induced Graph Regularized Group Lasso 通过稀疏诱导的图规则化组套索对多种眼部疾病分类的辨别特征选择 |
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3.Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning 通过域知识和深度学习的合作检测腺体和绒毛 |
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4.Minimum S-Excess Graph for Segmenting and Tracking Multiple Borders with HMM 用于分段和跟踪多个边框的最小S - 超越图表 |
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5.Automatic Artery-Vein Separation from Thoracic CT Images Using Integer Programming 使用整数编程自动动脉静脉分离胸廓CT图像 |
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6.Automatic Dual-View Mass Detection in Full-Field Digital Mammograms 全场数字乳房X光图中的自动双视距检测 |
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7.Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection 利用中级语义边界线索进行自动淋巴结检测 |
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8.Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks 计算机辅助肺栓塞检测使用新型血管对齐的多平面图像表示和卷积神经网络 |
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9.Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks 利用深度信仰网络使用自动特征选择的超声波检测前列腺癌 |
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10.MCI Identification by Joint Learning on Multiple MRI Data 通过联合学习在多个MRI数据上的MCI识别 |
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11.Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance 使用MCI诊断援助的多图学习的医学图像检索 |
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12.Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images 再生随机森林具有自动特征选择,以检测组织病理学乳腺癌图像中的有丝分裂 |
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13.HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection HOTPIG:用于血管形态学的新型几何特征及其在脑动脉瘤检测中的应用 |
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14.Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations 使用Hough林和学习数据表示三维超声中的各种解剖分割的强大分割 |
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15.Improved Parkinson’s Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors 通过Fisher Vector描述符从扩散MRI数据改进帕金森病分类 |
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16.Automated Shape and Texture Analysis for Detection of Osteoarthritis from Radiographs of the Knee 从膝关节射线照片检测骨关节炎的自动形状和纹理分析 |
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17.Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases 神经科学图像数据库中的形态搜索和检索的散林 |
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18.Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM 来自心脏CT图像的计算机辅助梗塞识别:SVM的生物力学方法 |
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19.Automatic Graph-Based Localization of Cochlear Implant Electrodes in CT 基于图形的基于图谱的CT植入式电极定位 |
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20.Towards Non-invasive Image-Based Early Diagnosis of Autism 朝着非侵入性的基于形象的自闭症早期诊断 |
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21.Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut 通过新的平衡多图标准化切割识别连接模块模式 |
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22.Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior 使用全球参数转换之前的耳植入的语义3-D标记 |
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23.Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning 学习使用模糊学习的图像与疾病标签的相关性 |
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24.Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters 基于Grouply致力于脑网络集群的轻度创伤性脑损伤后大脑恢复的纵向分析 |
Advanced MRI: Diffusion, fMRI, DCE(高级MRI:扩散,fMRI,DCE) | 概要 |
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1.Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR 基于词典学习的CP-Bold Mr的心肌登记的图像描述符 |
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2.Registration of Color and OCT Fundus Images Using Low-dimensional Step Pattern Analysis 使用低维步骤模式分析的颜色和OCT眼底图像注册 |
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3.Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration 估算患者特异性模板,用于预持续和后续脑肿瘤登记 |
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4.Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation 使用多向Varifold表示的婴儿开发皮质表面的基于地形的注册 |
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5.A Liver Atlas Using the Special Euclidean Group 使用特殊欧几里德集团的肝脏阿特拉斯 |
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6.Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains 猕猴中的多尺度和多模式融合,髓鞘染色和DTI衍生纤维 |
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7.Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases 新生儿脑地图障的空间频率细节施工 |
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8.Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration 用于成对可变形图像配准的中间空间无关的对称数据项 |
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9.A 2D-3D Registration Framework for Freehand TRUS-Guided Prostate Biopsy Freehand Trus引导前列腺活组织检查的2D-3D注册框架 |
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10.Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network 使用同步频谱网络的M3心脏图像的无监督自由视图分段 |
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11.Uncertainty Quantification for LDDMM Using a Low-Rank Hessian Approximation 利用低秩HESSIAN近似的LDDMM不确定性量化 |
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12.A Stochastic Quasi-Newton Method for Non-Rigid Image Registration 用于非刚性图像配准的随机拟牛顿方法 |
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13.Locally Orderless Registration for Diffusion Weighted Images 局部有序的扩散加权图像注册 |
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14.Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion 预测基于休息状态功能连接的多拟标签融合的个体激活 |
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15.Crossing-Lines Registration for Direct Electromagnetic Navigation 直接电磁导航的交叉线注册 |
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16.A Robust Outlier Elimination Approach for Multimodal Retina Image Registration 多峰视网膜图像配准的强大异常消除方法 |
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17.Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields 对称正规函数估算COPD患者的大肺动作 |
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18.Combining Transversal and Longitudinal Registration in IVUS Studies 结合横向和纵向注册IVUS研究 |
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19.Interpolation and Averaging of Multi-Compartment Model Images 多隔室模型图像的插值和平均 |
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20.Structured Decision Forests for Multi-modal Ultrasound Image Registration 用于多模态超声图像配准的结构化决策林 |
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21.A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases 用于多站点扩散图像atlases的分层贝叶斯模型 |
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22.Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks 距离网络的形态分析与Dicccol地标的特征 |
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23.Which Metrics Should Be Used in Non-linear Registration Evaluation? 应在非线性注册评估中使用哪些指标? |
Quantitative Image Analysis III: Motion, Deformation, Development and Degeneration(定量图像分析III:运动,变形,发展和退化) | 概要 |
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1.Illustrative Visualization of Vascular Models for Static 2D Representations 静态2D表示的血管模型的说明性可视化 |
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2.Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion 灌注路径:在CT灌注中的voxelwise血流轨迹的推理 |
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3.Automatic Prostate Brachytherapy Preplanning Using Joint Sparse Analysis 使用关节稀疏分析自动前列腺近距离放射治疗预装 |
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4.Bayesian Personalization of Brain Tumor Growth Model 脑肿瘤生长模型的贝叶斯个性化 |
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5.Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations 学习专用患者的互动冠状动脉血流模拟模型 |
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6.Vito – A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling Vito - 用于多物理模型个性化的仿制剂:心脏建模的应用 |
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7.Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation 基于数据库的肝脏变形估计,用于手术图像引导和模拟 |
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8.Computational Sonography 计算超声检查 |
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9.Hierarchical Shape Distributions for Automatic Identification of 3D Diastolic Vortex Rings from 4D Flow MRI 从4D流动MRI自动识别3D舒张涡旋环的分层分布 |
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10.Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region 放射疗法规划的鲁棒CT合成:在头部和颈部的应用 |
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11.Mean Aneurysm Flow Amplitude Ratio Comparison between DSA and CFD DSA和CFD之间的平均动脉瘤流量幅度比比较 |
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12.Application of L0-Norm Regularization to Epicardial Potential Reconstruction L0-Norm正规化在外膜潜在重建中的应用 |
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13.MRI-Based Lesion Profiling of Epileptogenic Cortical Malformations 基于MRI的癫痫皮质畸形的病变分析 |
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14.Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization 基于卷积射线跟踪和外观优化的患者特异性3D超声仿真 |
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15.Robust Transmural Electrophysiological Imaging: Integrating Sparse and Dynamic Physiological Models into ECG-Based Inference 稳健的透际电生理成像:将稀疏和动态生理模型集成到基于ECG的推论中 |
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16.Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization 通过基于进化的优化来估计大胆信号的生物物理参数 |
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17.Radiopositive Tissue Displacement Compensation for SPECT-guided Surgery Spect引导手术的辐射阳性组织位移补偿 |
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18.A Partial Domain Approach to Enable Aortic Flow Simulation Without Turbulent Modeling 一种部分域方法,实现无湍流造型的主动脉仿真 |
Quantitative Image Analysis IV: Microscopy, Fluorescence and Histological Imagery(定量图像分析IV:显微镜,荧光和组织学图像) | 概要 |
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1.Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images 灵活的重建和校正来自堆栈的2D图像的不可预测的运动 |
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2.Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction 联合总变化中的高效预处理正规平行的平行MRI重建 |
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3.Accessible Digital Ophthalmoscopy Based on Liquid-Lens Technology 基于液体透镜技术的可访问数字眼镜镜 |
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4.Estimate, Compensate, Iterate: Joint Motion Estimation and Compensation in 4-D Cardiac C-arm Computed Tomography 估计,补偿,迭代:4-D心脏C形臂计算断层扫描的联合运动估计和补偿 |
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5.Robust Prediction of Clinical Deep Brain Stimulation Target Structures via the Estimation of Influential High-Field MR Atlases 通过估计有影响的高场MRAlase估算临床深脑刺激目标结构的鲁棒预测 |
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6.RF Ultrasound Distribution-Based Confidence Maps 基于RF超声波分布的归信地图 |
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7.Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data 从基线虚拟组织学血管内超声数据预测薄帽纤维图的预测 |
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8.Cooperative Robotic Gamma Imaging: Enhancing US-guided Needle Biopsy 合作机器人伽玛成像:增强美国引导针活检 |
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9.Bayesian Tomographic Reconstruction Using Riemannian MCMC 使用riemannian MCMC的贝叶斯断层摄影重建 |
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10.A Landmark-Based Approach for Robust Estimation of Exposure Index Values in Digital Radiography 数字射线照相中曝光索引值的鲁棒估计的基于地标方法 |
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11.Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization 完全改变动态MRI重建与总变异与核规范规则 |
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12.Robust PET Motion Correction Using Non-local Spatio-temporal Priors 使用非局部时空前导者的鲁棒宠物运动校正 |
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13.Subject-specific Models for the Analysis of Pathological FDG PET Data 用于分析病理FDG宠物数据的主题特定模型 |
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14.Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity 使用多级CCA和组稀疏性从3T MRI的分层重建7T类似图像 |
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15.Robust Spectral Denoising for Water-Fat Separation in Magnetic Resonance Imaging 用于磁共振成像中的水脂分离的鲁棒光谱去噪 |
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16.Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling 规模因子点传播函数匹配:超出图像重采样中的混叠 |
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17.Analytic Quantification of Bias and Variance of Coil Sensitivity Profile Estimators for Improved Image Reconstruction in MRI 改进MRI图像重建的线圈灵敏度估计估计偏差和差异的分析量化 |
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18.Mobile C-arm 3D Reconstruction in the Presence of Uncertain Geometry 在不确定的几何形状存在下移动C臂3D重建 |
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19.Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction 加速多造影器MRI重建的快速预处理 |
Quantitative Image Analysis I: Segmentation and Measurement(定量图像分析I:分割和测量) | 概要 |
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1.Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation 用于多发性硬化病变分割的深卷积编码器网络 |
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2.Unsupervised Myocardial Segmentation for Cardiac MRI 心脏MRI的无监督心肌细分 |
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3.Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity 基于解剖学和功能性脑连接的多模式皮质包装 |
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4.Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning SLIC-SEG:使用一平面涂鸦和在线学习胎盘在胎儿MRI中的切片分割繁殖 |
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5.GPSSI: Gaussian Process for Sampling Segmentations of Images GPSSI:用于图像的采样分割的高斯过程 |
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6.Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI 使用休息状态FMRI的脑皮层的多级锁定 |
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7.Interactive Multi-organ Segmentation Based on Multiple Template Deformation 基于多模板变形的交互式多器官分段 |
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8.Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data 使用常见的特征表示对婴儿海马进行分割,了解多模式纵向数据 |
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9.Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI 使用多模态MRI测量早产青少年的皮质神经突 - 分散和灌注 |
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10.Interactive Whole-Heart Segmentation in Congenital Heart Disease 先天性心脏病中的互动全心细分 |
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11.Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior 在先前使用多相测地级 - 使用具有形状的多相测距仪的预期新生儿中的自动3D美国脑室脑室分割 |
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12.Multiple Surface Segmentation Using Truncated Convex Priors 使用截短的凸前沿的多个表面分割 |
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13.Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality 图像分割中的统计功率:将样本大小与参考标准质量相关联 |
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14.Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs CT骨盆器官可变形分割图像回归和分类器的联合学习 |
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15.Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues 使用正常地图集的MS研究中的语料库胼callosum分段和外在图像线索的最佳杂交 |
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16.Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification 基于扩散MRI的脑组织分割使用χ0稀疏组表示分类 |
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17.A Latent Source Model for Patch-Based Image Segmentation 基于补丁的图像分割的潜在源模型 |
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18.Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis 使用形状模型的多器官分割引导局部相位分析 |
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19.Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information 使用基于骨架和强度的信息填充3D血管网络中的大型不连续性 |
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20.A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation 连续流动最大化方法来连接驱动的皮质局部 |
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21.A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature 一种基于3D分形的理解变化的方法 |
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22.Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input 在没有手动输入的单像腹腔镜图像中分割子宫 |
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23.Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution Dictionary演化的多atlas分段逐步标签融合框架 |
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24.Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints 基于多标准的分割编辑,具有相互作用的约束 |
Quantitative Image Analysis IV: Microscopy, Fluorescence and Histological Imagery(定量图像分析IV:显微镜,荧光和组织学图像) | 概要 |
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1.Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery 提高5 Ala诱导荧光成像的脑肿瘤手术的便利性和可靠性 |
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2.Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics 高吞吐学显微镜视频分析:追赶细胞动态 |
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3.Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters 深入学习和群体的中性粒细胞识别群集 |
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4.U-Net: Convolutional Networks for Biomedical Image Segmentation U-Net:用于生物医学图像分割的卷积网络 |
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5.Co-restoring Multimodal Microscopy Images 共同恢复多模式显微镜图像 |
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6.A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images 具有串行显微镜图像的3D主要血管重建框架 |
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7.Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification 用于HEP-2细胞分类的自适应共生差异型Texton空间 |
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8.Learning to Segment: Training Hierarchical Segmentation under a Topological Loss 学习分部:拓扑损失下的培训分层分割 |
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9.You Should Use Regression to Detect Cells 您应该使用回归来检测单元格 |
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10.A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms 用于分割和跟踪米氏菌丘神群的混合方法 |
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11.Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning 使用单级学习的3D荧光显微镜图像中快速背景去除 |
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12.Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation 用于自动化CBF估计的轮廓对齐的纤毛细胞图像的运动表示 |
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13.Multimodal Dictionary Learning and Joint Sparse Representation for HEp-2 Cell Classification HEP-2细胞分类的多模式字典学习与关节稀疏表示 |
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14.Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations 来自少数注释的相位对比显微镜序列中的细胞事件检测 |
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15.Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation 使用结构化边缘检测和分层分割的鲁棒肌细胞定量 |
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16.Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour 使用可伸缩稀疏流形学习和仿射变换近似活动轮廓的快速细胞分割 |
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17.Restoring the Invisible Details in Differential Interference Contrast Microscopy Images 在差分干扰对比度显微镜图像中恢复无形细节 |
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18.A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set 一种新的细胞检测方法,使用深卷积神经网络和最大重量独立集 |
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19.Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network 超越分类:使用卷积神经网络的鲁棒单元检测结构性回归 |
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20.Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis 基于联合内核的监督散列可扩展组织病理学图像分析 |
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21.Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images 深刻的投票:显微镜图像中核分化的强大方法 |
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22.Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders 使用稀疏重建和堆叠去噪自身叠层组织病理学图像中的鲁棒细胞检测和分段 |
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23.Automatic in Vivo Cell Detection in MRI MRI中的体内细胞检测 |
Quantitative Image Analysis III: Motion, Deformation, Development and Degeneration(定量图像分析III:运动,变形,发展和退化) | 概要 |
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1.Automatic Vessel Segmentation from Pulsatile Radial Distension 脉动径向扩张的自动血管分割 |
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2.A Sparse Bayesian Learning Algorithm for Longitudinal Image Data 一种稀疏贝叶斯学习算法,用于纵向图像数据 |
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3.Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition 通过稀疏限制张量分解的描述性和直观的人口的心脏运动分析 |
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4.Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization 通过局部自适应过分分割正规化肝运动估计 |
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5.Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI 高分辨率3D心脏凝固MRI运动校正的超分辨率重建 |
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6.Motion Estimation of Common Carotid Artery Wall Using a H ∞ Filter Based Block Matching Method 基于H∞基于滤波器匹配方法的常见颈动脉壁的运动估计 |
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7.Gated-tracking: Estimation of Respiratory Motion with Confidence 门控跟踪:充满信心地估计呼吸运动 |
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8.Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis 解决时间序列分析组基数约束的逻辑回归 |
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9.Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery 用于评估冲程恢复的电机运动学的时空解析 |
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10.Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization 基于凸优化的超声图像中预期新生脑室纵向分析 |
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11.Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI 动态压缩传感MRI的多GPU重建 |
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12.Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning 使用运动地图集和随机投影集合学习的CRT超响应者的预期识别 |
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13.Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME) 通过同时图像配准和模型估计(SIR-ME)进行运动补偿腹部扩散加权MRI |
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14.Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression 使用歧管内核回归快速重建加速动态MRI |
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15.Predictive Modeling of Anatomy with Genetic and Clinical Data 遗传和临床数据的解剖学预测建模 |
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16.Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion 使用低秩子空间聚类和矩阵完成进行逐方升高认知障碍(PMCI)的联合诊断和转换时间预测 |
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17.Learning with Heterogeneous Data for Longitudinal Studies 学习与纵向研究的异质数据 |
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18.Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes 利用多维皮质属性发育轨迹的婴儿表面地图集 |
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19.Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences 基于图的颈动脉粥样硬化斑块的基于图的运动驱动分割,在2D超声序列中 |
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20.Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study 基于皮质地面结构的个体结构网络建设,应用于早期大脑发展研究 |
Quantitative Image Analysis II: Classification, Detection, Features, and Morphology(定量图像分析II:分类,检测,特征和形态) | 概要 |
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1.NEOCIVET: Extraction of Cortical Surface and Analysis of Neonatal Gyrification Using a Modified CIVET Pipeline Neocivet:用改进的纤维管道提取皮质表面和新生儿热化分析 |
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2.Learning-Based Shape Model Matching: Training Accurate Models with Minimal Manual Input 基于学习的形状模型匹配:具有最小手动输入的准确模型 |
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3.Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures 用于曲折和碎片结构的尺度和曲率不变脊探测器 |
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4.Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters 通过学习上下文过滤器提高用于曲线结构细分的手工制作功能 |
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5.Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold 基于内核的基于核心脑连接的内核分析 |
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6.A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests 一种转向引擎:使用回归森林学习3-D解剖学方向 |
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7.Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features 使用带有可转向特征的随机林自动定位MRI中的胎儿器官 |
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8.A Statistical Model for Smooth Shapes in Kendall Shape Space 肯德尔形状空间中光滑形状的统计模型 |
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9.A Cross Saliency Approach to Asymmetry-Based Tumor Detection 不对称基于肿瘤检测的交叉显着性方法 |
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10.Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum 小鼠小脑中灰质子层厚度估计 |
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11.Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models 未注册的多视图乳房X线照片分析,具有预先接受的深度学习模型 |
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12.Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model 通过分割引导的部分联合回归森林模型自动Craniomaxillocial地标数字化 |
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13.Automatic Feature Learning for Glaucoma Detection Based on Deep Learning 基于深度学习的青光眼检测自动特征学习 |
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14.Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach 病理CT扫描的快速自动椎骨检测与定位 - 深度学习方法 |
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15.Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans 引导随机森林,用于识别超声扫描中的关键胎儿解剖和图像分类 |
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16.Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy 基于Dempster-Shafer理论的特征选择,癌症治疗结果预测稀疏约束 |
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17.Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation 拆除常规形状和外观前沿应用于图像分割 |
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18.Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys 病理肾脏三维超声图像α形状分割的正趋达Δ检测 |
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19.Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling 非本地地图集引导的人脑标签的多通道森林学习 |
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20.Model Criticism for Regression on the Grassmannian 基于Gransmannnian回归的模型批评 |
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21.Structural Edge Detection for Cardiovascular Modeling 心血管建模的结构边缘检测 |
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22.Sample Size Estimation for Outlier Detection 异常检测的示例大小估计 |
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23.Multi-scale Heat Kernel Based Volumetric Morphology Signature 基于多级热核的体积形态签名 |
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24.Structural Brain Mapping 结构脑映射 |