（三十二 ：2021.01.12）MICCAI 2017 追踪之论文纲要
时间：2022-12-24 13:30:00
讲在前面
PART I、PART II和PART III。
论文目录
PART I
| Atlas and Surface-Based Techniques(基于表面的地图集和技术) | 概要 |
|---|---|
| 1.The Active Atlas: Combining 3D Anatomical Models with Texture Detectors 有效地图集：3D解剖与纹理探测器相结合 |
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| 2.Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information 古尔模式基于多视图曲率信息探索婴儿皮质折叠 |
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| 3.Holistic Mapping of Striatum Surfaces in the Laplace-Beltrami Embedding Space Laplace-Beltrami嵌入空间的纹状体表面的整体映射 |
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| 4.Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development 应用于脑发育的局部形状适应性热化指数 |
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| 5.Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data 多任务多线性回归联合稀疏和低级正则化，以预测婴儿大脑的发育 |
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| 6.Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases 纵向扩散加权婴儿地图空间的图形约束稀疏结构 |
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| 7.4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation 4D使用球形贴片的稀疏表示婴幼儿皮质表面地图集结构 |
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| 8.Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface 基于婴儿皮质表面的个性化局部发育模式 |
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| 9.Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth 多模态图像对比度的纵向建模揭示了早期脑增长模式 |
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| 10.Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants 非常早产儿预测脑网络的年龄和延迟成熟 |
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| 11.Falx Cerebri Segmentation via Multi-atlas Boundary Fusion 通过多地图集边界集成Falx脑脑分割 |
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| 12.A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip Dysplasia 3用于诊断髋关节发育的可靠性D股骨头覆盖度量 |
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| 13.Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images 基于学习的肺和叶子很多atlas分段在质子MR图像中 |
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| 14.Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study 肺部空间通知肺部纹理模式的无监督发现：MESA COPD研究 |
| Shape and Patch-Based Techniques(基于形状和补丁的技术) | 概要 |
|---|---|
| 15.Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet 使用Boostnet青少年特发性脊柱侧凸评估的自动标志性估计 |
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| 16.Nonlinear Statistical Shape Modeling for Ankle Bone Segmentation Using a Novel Kernelized Robust PCA 使用新型核化鲁棒PCA踝骨分割非线性统计形状模型 |
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| 17.Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System 适应性地标定位：将模型转移学习应用于形状模型匹配系统 |
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| 18.Representative Patch-based Active Appearance Models Generated from Small Training Populations 基于补丁的主动外观模型产生的小型训练群体 |
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| 19.Integrating Statistical Prior Knowledge into Convolutional Neural Networks 将统计事先知识集成到卷积神经网络中 |
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| 20.Statistical Shape Model of Nested Structures Based on the Level Set 基于水平集的嵌套结构统计形状模型 |
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| 21.Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans 局部自适应概率模型用于病态OCT全球分割扫描 |
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| 22.Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex Shapes 自动放置复杂形状集合对应点的深度特征 |
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| 23.Robust Multi-scale Anatomical Landmark Detection in Incomplete D-CT Data 不完整3D-CT数据中的鲁棒多尺度解剖标记检测 |
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| 24.Learning and Incorporating Shape Models for Semantic Segmentation 学习和掺入语义分割的形状模型 |
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| 25.Surface-Wise Texture Patch Analysis of Combined MRI and PET to Detect MRI-Negative Focal Cortical Dysplasia HORY MRI和PET检测MRI阴性焦平皮质发育不良的表面明智的纹理贴剂分析 |
| Registration Techniques（配准技术） | 概要 |
|---|---|
| 26.Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation 培训CNNS用于图像注册的图像注册，具有基于模型的数据增强 |
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| 27.Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks 使用多刻度3D卷积神经网络的非防火图像注册 |
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| 28.Multimodal Image Registration with Deep Context Reinforcement Learning 具有深层上下文增强学习的多式图像登记 |
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| 29.Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration 不连续保留图像配准中的运动分段的方向平均值 |
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| 30.ℓ2 Similarity Metrics for Diffusion Multi-Compartment Model Images Registration ℓ2扩散的相似度量多隔室模型图像注册 |
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| 31.SVF-Net: Learning Deformable Image Registration Using Shape Matching SVF-Net：使用形状匹配学习可变形图像配准 |
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| 32.A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information 通过相互信息，对清晰度图像注册的大变形扩散方法 |
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| 33.Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images 混合度量随机森林，用于锥形光束计算机断层扫描图像的密集对应 |
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| 34.Optimal Transport for Diffeomorphic Registration 扩散配准的最佳运输 |
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| 35.Deformable Image Registration Based on Similarity-Steered CNN Regression 基于相似性 - 转向的CNN回归的可变形图像配准 |
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| 36.Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets 多维点集合登记的广义相干点漂移 |
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| 37.Fast Geodesic Regression for Population-Based Image Analysis 基于人口的图像分析的快速测量回归 |
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| 38.Deformable Registration of a Preoperative 3D Liver Volume to a Laparoscopy Image Using Contour and Shading Cues 使用轮廓和阴影线索将术前3D肝体积的可变形的3D肝脏体积的登记到腹腔镜图像 |
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| 39.Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos Expansions 使用多项式混沌扩建的医学图像配准算法参数灵敏度分析 |
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| 40.Robust Non-rigid Registration Through Agent-Based Action Learning 通过基于代理的动作学习的强大的非刚性注册 |
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| 41.Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm 选择使用基于两级MST基聚类算法的显微镜图像序列的可变形登记的最佳序列 |
| Functional Imaging, Connectivity, and Brain Parcellation（功能成像，连接性和脑细胞分裂） | 概要 |
|---|---|
| 42.Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks 功能性大脑网络部分相关性和因果关系分析的动态回归 |
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| 43.Kernel-Regularized ICA for Computing Functional Topography from Resting-State fMRI 内核正则化ICA用于计算Resting-State FMRI的功能性地形 |
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| 44.N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural Stimulus N-Lade分解：在天然刺激期间连接并发脑电图和FMRI分析 |
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| 45.Connectome-Based Pattern Learning Predicts Histology and Surgical Outcome of Epileptogenic Malformations of Cortical Development 基于连接的模式学习预测皮质发育的癫痫畸形的组织学和外科蛋白质 |
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| 46.Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains 结合尺度结构和功能型材的联合表示，用于识别人体大脑中一致的皮质地标 |
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| 47.Subject-Specific Structural Parcellations Based on Randomized AB-divergences 基于随机AB分歧的主题特异性结构局 |
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| 48.Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors 使用全脑功能相关张量改善功能性MRI注册 |
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| 49.Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets 多元回归揭示纵向数据集中猕猴结构脑连接的骨干 |
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| 50.Multimodal Hyper-connectivity Networks for MCI Classification 用于MCI分类的多式联卡超连接网络 |
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| 51.Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints 使用稀疏约束的多模态EEG和FMRI源估计 |
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| 52.Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks 从纵向歧管有价值网络统计学习时空图案 |
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| 53.Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity 协方差的人口收缩，以估算更好的脑功能连通性 |
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| 54.Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks 使用图形卷积网络的距离度量学习：应用于功能性大脑网络的应用 |
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| 55.A Submodular Approach to Create Individualized Parcellations of the Human Brain 一种创造人脑的个体化局部的子系统方法 |
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| 56.BrainSync: An Orthogonal Transformation for Synchronization of fMRI Data Across Subjects BRINSYNC：用于跨对象的FMRI数据同步的正交变换 |
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| 57.Supervised Discriminative EEG Brain Source Imaging with Graph Regularization 具有图规范化的监督判别脑电图脑源成像 |
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| 58.Inference and Visualization of Information Flow in the Visual Pathway Using dMRI and EEG 使用DMRI和EEG在视觉途径中的推理和可视化信息流程 |
| Diffusion Magnetic Resonance Imaging (dMRI) and Tensor/Fiber Processing（扩散磁共振成像（dMRI）和张量/纤维处理） | 概要 |
|---|---|
| 59.Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification 使用成对分类评估35种方法来生成结构Connectomes |
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| 60.Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI 使用交错双自旋回声扩散MRI动态现场映射和运动校正 |
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| 61.A Novel Anatomically-Constrained Global Tractography Approach to Monitor Sharp Turns in Gyri 一种新的解剖学限制的全球牵引方法，可以在吉利监测急剧转弯 |
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| 62.Learn to Track: Deep Learning for Tractography 学习跟踪：牵引的深度学习 |
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| 63.FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers Fibernet：集聚白质纤维的集合深层学习框架 |
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| 64.Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis Supra-Threshold Fiber Cluster统计数据驱动的全脑牵引分析 |
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| 65.White Matter Fiber Representation Using Continuous Dictionary Learning 使用连续字典学习的白质纤维表示 |
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| 66.Fiber Orientation Estimation Guided by a Deep Network 深网络引导的纤维取向估计 |
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| 67.FOD Restoration for Enhanced Mapping of White Matter Lesion Connectivity FOD恢复，用于增强白质病变连接的映射 |
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| 68.Learning-Based Ensemble Average Propagator Estimation 基于学习的集合平均传播者估算 |
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| 69.A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI 压缩多壳扩散MRI的白质参数估计的稀疏贝叶斯学习算法 |
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| 70.Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution 贝叶斯图像质量转移与CNNS：探索DMRI超分辨率的不确定性 |
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| 71.q-Space Upsampling Using x-q Space Regularization Q空间上采样使用X-Q空间正规化 |
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| 72.Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI 邻居匹配曲线域，其应用于扩散MRI中的去噪 |
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| 73.Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure 基于灰质表面的空间统计（GS-BSS）在扩散微结构中 |
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| 74.A Bag-of-Features Approach to Predicting TMS Language Mapping Results from DSI Tractography 一种特征方法，可以预测DSI牵引的TMS语言映射结果 |
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| 75.Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images 临床CT图像结构张量场的患者特异性骨骼肌纤维建模 |
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| 76.Revealing Hidden Potentials of the q-Space Signal in Breast Cancer 揭示乳腺癌中Q空间信号的隐藏潜力 |
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| 77.Denoising Moving Heart Wall Fibers Using Cartan Frames 使用Cartan框架去噪移动的心壁纤维 |
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| 78.TBS: Tensor-Based Supervoxels for Unfolding the Heart TBS：基于张富主的超曲线展开心脏 |
| Image Segmentation and Modelling（图像分割与建模） | 概要 |
|---|---|
| 79.A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans 腹部CT扫描胰腺细分的定点模型 |
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| 80.Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels) 通过林定向超像素（体素）的生物医学图像分割半监督学习 |
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| 81.Towards Automatic Semantic Segmentation in Volumetric Ultrasound 在体积超声中自动语义分割 |
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| 82.Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging 大规模人口成像中心动MRI分割的自动质量控制 |
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| 83.Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks 朝向图像引导的胰腺和胆道内窥镜检查：腹部CT上的自动多器官分割，具有密集扩张网络 |
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| 84.Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI 大腿MRI中间脂肪组织的整体分割 |
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| 85.Spatiotemporal Segmentation and Modeling of the Mitral Valve in Real-Time 3D Echocardiographic Images 仅限于超声心动图中的二尖瓣术的时空分割和建模 |
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| 86.Unbiased Shape Compactness for Segmentation 用于分割的无偏的形状紧凑性 |
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| 87.Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks 基于级联卷积神经网络的3T MRI与3T类似图像的联合重建与分割 |
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| 88.Development of a μ CT-based Patient-Specific Model of the Electrically Stimulated Cochlea 电刺激耳蜗的μCT基患者特异性模型的研制 |
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| 89.Compresso: Efficient Compression of Segmentation Data for Connectomics Compresso：有效压缩Connectomics的分段数据 |
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| 90.Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRI 结合空间和非空间字典学习对新生儿脑MRI中心室内出血的自动标记 |
PART II
| Optical Imaging（光学成像） | 概要 |
|---|---|
| 1.Cell Lineage Tracing in Lens-Free Microscopy Videos 透镜显微镜视频中的细胞谱系跟踪 |
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| 2.Separation of Transmitted Light and Scattering Components in Transmitted Microscopy 透射显微镜中透射光和散射组分的分离 |
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| 3.Neuron Segmentation Using Deep Complete Bipartite Networks 使用深度完整的二分网络进行神经元分割 |
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| 4.Cell Encoding for Histopathology Image Classification 组织病理学图像分类的细胞编码 |
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| 5.Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging 内窥镜深度测量和超光谱分辨率成像 |
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| 6.Computational Immunohistochemistry: Recipes for Standardization of Immunostaining 计算免疫组织化学：免疫染色标准化的食谱 |
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| 7.Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images 两流双向短期内存用于有丝分裂事件检测和相位对比显微镜图像中的阶段定位 |
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| 8.Refocusing Phase Contrast Microscopy Images 重新聚焦相位对比显微镜图像 |
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| 9.Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder 不同自动化器视网膜眼压图像中视光杯的半监控分割 |
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| 10.QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data 准：定量稀疏图像，用于视网膜OCT数据的时空去噪 |
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| 11.Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging 3D多通道深组织荧光成像的快速背景清除方法 |
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| 12.Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition 通过小波分解的组织中血红蛋白浓度的快速估计 |
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| 13.Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery 通过稀疏相位恢复有效地重建全息透镜图像 |
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| 14.Quality Assessment of Retinal Hyperspectral Images Using SURF and Intensity Features 使用冲浪和强度特征的视网膜高光谱图像质量评估 |
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| 15.Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks 使用卷积神经网络的3D荧光显微镜图像的各向同性重建 |
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| 16.Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy 非各向同性3D电子显微镜的各向同性超分辨率深度学习 |
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| 17.Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images 来自整个幻灯片图像的高风险良性乳房病变的组织学检测 |
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| 18.Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images 使用曲线匹配应用于纵向自适应光学图像的人眼中锥形光感受器神经元的准确对应关系 |
| Airway and Vessel Analysis（气道和血管分析） | 概要 |
|---|---|
| 19.Active Learning and Proofreading for Delineation of Curvilinear Structures 用于描绘曲线结构的主动学习和校对 |
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| 20.Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections 通过优化其横截面的3D方向来跟踪主动脉腔几何 |
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| 21.BRANCH:Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics 分支：基于结构特征的气道导航分叉识别 |
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| 22.Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images 动脉旋转标记图像正则化空间相关性的解剖学建模 |
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| 23.Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network 使用完全卷积网络跟踪和分割胸部CT中的气道 |
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| 24.Automatic Labeling of Vascular Structures with Topological Constraints via HMM 通过HMM自动标记血管结构的血管结构 |
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| 25.Biomechanical Patient-Specific Model of the Respiratory System Based on 4D CT Scans and Controlled by Personalized Physiological Compliance 基于4D CT扫描的呼吸系统呼吸系统的生物力学患者特异性模型，由个性化生理合规性控制 |
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| 26.CT Image Enhancement for Feature Detection and Localization 功能检测和本地化的CT图像增强 |
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| 27.Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index 血流复杂性的信息理论测量血管和动脉瘤中的血流复杂性：交织复杂性指数 |
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| 28.Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths 使用图形结构和最小路径的3D医学图像从全球最佳解剖树提取 |
| Motion and Cardiac Analysis（运动和心脏分析） | 概要 |
|---|---|
| 29.Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation 基于网络的网络心脏图像分割半监督学习 |
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| 30.A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration 本地化统计运动模型作为非刚性图像配准的再现内核 |
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| 31.Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression 使用歧管回归对3-D腹部MRI有效的可变形运动校正 |
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| 32.Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching 基于流量网络的心动跟踪利用学习特征匹配 |
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| 33.Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets 具有密集连接的体积脉管的自动3D心血管MR分段 |
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| 34.Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion 在任意主题运动的存在下预测切片到体积变换 |
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| 35.Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks 用弱监督二流卷积网络释放胎儿心跳的检测与表征胎儿心跳 |
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| 36.Retrospective Head Motion Estimation in Structural Brain MRI with 3D CNNs 三维CNNS结构脑MRI中的回顾性头部运动估计 |
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| 37.Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis 基于学习的时空正常化和区域4D心脏变形分析跟踪方法的集成 |
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| 38.Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets 基于自动分割的大型数据集多平坦心脏磁共振图像的基于自动化分割的呼吸运动校正 |
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| 39.Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video 颞圆圈：胎儿心脏筛选视频的人级自动分析 |
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| 40.Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies 使用具有种群基于群体的Provors的个性化3D心脏模型的纵向分析：对儿科心肌病的应用 |
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| 41.Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing 腹部腹膜腹膜内插的时间内插 |
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| 42.Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks 术中器官运动模型具有条件生成对抗网络的集合 |
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| 43.CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN Cardiacnet：使用多视图CNN的MRI分割左心房和近端肺静脉 |
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| 44.Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling 通过动态线性建模分析视频序列中的周期性 |
| Tumor Processing（肿瘤处理） | 概要 |
|---|---|
| 45.Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery 通过空间约束基于低级图像恢复，GroupWise登记含有肿瘤的MR脑图像 |
|
| 46.Deep Correlational Learning for Survival Prediction from Multi-modality Data 来自多种式数据的生存预测的深度相关学习 |
|
| 47.Compressed Sensing on Multi-pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy 哨落淋巴结活检的多针孔准直器SPECT摄像机压缩传感 |
|
| 48.Personalized Pancreatic Tumor Growth Prediction via Group Learning 通过集团学习的个性化胰腺肿瘤生长预测 |
|
| 49.Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation 脑肿瘤细分的边界意识全卷积网络 |
|
| 50.Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI 场效应诱导器官扩散（锻造）特征预测预处理前列腺MRI的生物化学复发 |
|
| 51.Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients 用于胶质瘤患者的联合MGMT和IDH1状态预测的多标签诱导矩阵完成 |
|
| 52.Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis 射线照相 - 变形和纹理异质性（R-Depth）：脑肿瘤预后的集成描述符 |
|
| 53.RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction 射线空间纹理描述符（Radistat）：表征肿瘤内的异质性以进行响应和结果预测 |
| Planning and Simulation for Medical Interventions（医疗干预的计划与模拟） | 概要 |
|---|---|
| 45.Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery 局部牵引扩散地表注册，用于规划转录性颅骨肌肤外科手术 |
|
| 46.A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies 节省时间：前臂截骨术的全自动3D规划优化方法 |
|
| 47.DARWIN: Deformable Patient Avatar Representation With Deep Image Network 达尔文：可变形患者化身与深图网络网络表示 |
|
| 48.Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery 微创手术中仪器的同时识别和姿态估计 |
|
| 49.A Comparative Study of Breast Surface Reconstruction for Aesthetic Outcome Assessment 乳房表面重建对审美结果评估的比较研究 |
|
| 50.DejaVu: Intra-operative Simulation for Surgical Gesture Rehearsal Dejavu：用于外科手术姿态的手术模拟排练 |
|
| 51.An Optimal Control Approach for High Intensity Focused Ultrasound Self-Scanning Treatment Planning 高强度聚焦超声自扫描处理规划的最优控制方法 |
|
| 52.A Mixed-Reality Approach to Radiation-Free Training of C-arm Based Surgery 基于C形臂手术的无放射训练的混合现实方法 |
|
| 53.Image-Driven Stochastic Identification of Boundary Conditions for Predictive Simulation 预测模拟边界条件的图像驱动随机识别 |
|
| 54.Toward Computer-Assisted Planning for Interstitial Laser Ablation of Malignant Brain Tumors Using a Tubular Continuum Robot 朝着计算机辅助计划使用管状连续内机器人对恶性脑肿瘤的间质激光消融的规划 |
|
| 55.Providing Effective Real-Time Feedback in Simulation-Based Surgical Training 在基于仿真的外科训练中提供有效的实时反馈 |
| Interventional Imaging and Navigation（介入成像和导航） | 概要 |
|---|---|
| 56.Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy X射线荧光透视的全自动和实时导管分割 |
|
| 57.Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos 深度神经网络预测胆囊切除术视频的剩余手术持续时间 |
|
| 58.UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-arterial Procedures UV暴露的光纤，具有频域反射测缝，用于动脉内程序的装置跟踪 |
|
| 59.Real-Time 3D Ultrasound Reconstruction and Visualization in the Context of Laparoscopy 腹腔镜检查背景下的实时3D超声重建与可视化 |
|
| 60.Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks 使用正交平面卷积网络改善3D超声中的针检测 |
|
| 61.Motion-Compensated Autonomous Scanning for Tumour Localisation Using Intraoperative Ultrasound 使用术中超声检查肿瘤定位的运动补偿自主扫描 |
|
| 62.Deep Learning for Sensorless 3D Freehand Ultrasound Imaging 无传感器3D写意超声成像的深度学习 |
|
| 63.Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery 用光纤超声变送器进行超声波针跟踪，用于引导微创胎儿手术 |
|
| 64.Learning CNNs with Pairwise Domain Adaption for Real-Time 6DoF Ultrasound Transducer Detection and Tracking from X-Ray Images 学习CNNS与配对域适应的用于实时6DOF超声传感器检测和从X射线图像跟踪 |
|
| 65.An Approach for Needle Based Optical Coherence Elastography Measurements 针基光相干弹性术测量的方法 |
|
| 66.Concurrent Segmentation and Localization for Tracking of Surgical Instruments 跟踪外科仪器的并发分割和定位 |
|
| 67.Surgical Soundtracks: Towards Automatic Musical Augmentation of Surgical Procedures 手术配乐：朝着自动音乐增强的外科手术 |
|
| 68.Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration 精确超声骨头注册与基于学习的分割和声音校准速度 |
|
| 69.Convolutional Neural Network and In-Painting Techniques for the Automatic Assessment of Scoliotic Spine Surgery from Biplanar Radiographs 卷积神经网络与自动评估脊柱脊髓术治疗双脊髓瘤外科的绘画技术 |
| Medical Image Computing（医学图像计算） | 概要 |
|---|---|
| 70.A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue 一种新的自动分割方法，其量化脊髓损伤对人大腿肌肉和脂肪组织的影响 |
|
| 71.OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization 光学：使用基于距离变换的全局优化，在各种MRI数据上具有鲁棒和自动脊髓定位 |
|
| 72.Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks 通过上下文完全卷积网络联合Craniomaxillofacial骨分割和地标数字化 |
|
| 73.Online Statistical Inference for Large-Scale Binary Images 大规模二值图像的在线统计推断 |
|
| 74.Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis 使用MRI的药代动力学参数合成短采集时间宠物定量 |
|
| 75.A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging 心脏电生理成像中稀疏模型误差估计的变分方法 |
|
| 76.Data-Driven Rank Aggregation with Application to Grand Challenges 数据驱动的排名聚合与申请到大挑战 |
|
| 77.Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard 基于金标准的定量成像生物标志物测量方法 |
PART III
| Feature Extraction and Classification Techniques（特征提取与分类技术） | 概要 |
|---|---|
| 1.Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status 深度多任务多通道学习，用于联合分类和脑状况回归 |
|
| 2.Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion 非线性特征空间转换，提高MCI预测到广告转换 |
|
| 3.Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection 核广义 - 高斯混合模型鲁棒异常检测 |
|
| 4.Latent Processes Governing Neuroanatomical Change in Aging and Dementia 治疗老化和痴呆症神经杀菌变化的潜在过程 |
|
| 5.A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data 一个多武装匪徒，用于巧妙地选择从大医学数据的培训 |
|
| 6.Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease 诊断精神分裂症疾病的多级多任务结构稀疏学习 |
|
| 7.An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data 具有稀疏分类的无偏见罚款，应用于神经影像数据 |
|
| 8.Unsupervised Feature Learning for Endomicroscopy Image Retrieval 无监督的特征学习用于内窥镜检查图像检索 |
|
| 9.Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data 基于最大平均差异的不完整多层态性神经影像数据的多个内核学习 |
|
| 10.Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation 通过融合结构化和旋转不变情境表示，肝细胞癌患者肝组织分类 |
|
| 11.DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI DOTE：用于MRI的超分辨率和跨型号合成的双卷积滤波器学习 |
|
| 12.Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification 监督饲料内的饲料载体，用于组织病理学图像分类 |
|
| 13.GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction GSPLIT LBI：驯服神经模仿中的程序偏见进行疾病预测 |
|
| 14.MRI-Based Surgical Planning for Lumbar Spinal Stenosis 基于MRI的腰椎狭窄的外科手术计划 |
|
| 15.Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism 用张量分解对帕金森主义早期鉴别诊断的模式可视化与识别 |
|
| 16.Physiological Parameter Estimation from Multispectral Images Unleashed 多光谱图像释放的生理参数估计 |
|
| 17.Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling 基于受约束部分卷模拟的皮质和皮质多发性硬化病变的分割 |
|
| 18.Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble 随机森林和卷积神经网络集合的计算断层摄影图像中胰囊肿的分类 |
|
| 19.Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model 多站点加权套索模型分类重大抑郁紊乱 |
|
| 20.A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification 医学图像分类的兴趣检测区域的多标准方法 |
|
| 21.Spectral Graph Convolutions for Population-Based Disease Prediction 基于人群的疾病预测的光谱图卷曲 |
|
| 22.Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation 使用袋鼠脑表现袋，预测多发性硬化患者的未来疾病活动和治疗响应者 |
|
| 23.Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer’s Disease 基于稀疏的基于多核的多任务学习，用于共同预测阿尔茨海默病的临床评分和生物标志物鉴定 |
| Machine Learning in Medical Image Computing（医学图像计算中的机器学习） | 概要 |
|---|---|
| 24.Personalized Diagnosis for Alzheimer’s Disease Alzheimer疾病的个性化诊断 |
|
| 25.GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network GP-UNET：具有3D回归网络的弱标签的病变检测 |
|
| 26.Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans 腹部CT扫描中胰囊肿细分的深度监督 |
|
| 27.Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data 用于学习具有有限数据的完全卷积网络的纠正措施 |
|
| 28.Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm 通过深度学习算法直接检测像素级心肌梗死区域 |
|
| 29.Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images 皮肤病识别使用深度显着特征和Dermoscopy和临床图像的多模式学习 |
|
| 30.Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound 界面正规化卷积神经网络，用于自动整体乳房超声中乳房解剖学层解析 |
|
| 31.Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection 缩小网：糖尿病视网膜病变检测的深部采矿病变 |
|
| 32.Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness 通过深度多任务学习网络完全量化左心室，尊重任务间和任务间相关性 |
|
| 33.Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation 用于脑肿瘤分割的可扩展多模式卷积网络 |
|
| 34.Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks 分支残差U形网络的病理oct视网膜层分割 |
|
| 35.Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes 反复神经网络超声心动图的质量评估：五个标准平面的可行性 |
|
| 36.Semi-supervised Deep Learning for Fully Convolutional Networks 半监督完全卷积网络的深度学习 |
|
| 37.TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References TandemNet：使用诊断报告从医学图像中蒸馏出知识作为可选的语义引用 |
|
| 38.BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions 公文通风网：使用二进制稀疏卷积的深度胰腺分段 |
|
| 39.Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning 监督动作分类器：将地标检测接近图像分区 |
|
| 40.Robust Multi-modal MR Image Synthesis 鲁棒多模态MR图像合成 |
|
| 41.Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks 深度监督剩余辍学网络的颅内动脉钙化的分割 |
|
| 42.Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural Networks 使用剩余神经网络前列腺近距离放射治疗临床目标体积描绘 |
|
| 43.Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography 使用卷积神经网络自动检测磁性脑图中的眼睛眨眼伪像而不诉诸电胶 |
|
| 44.Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis 图像超分辨率使用生成的对抗网络和局部显着图进行视网膜图像分析 |
|
| 45.Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging 多射磁共振成像中的前列腺病变分类的学习和手工特征的协同组合 |
|
| 46.Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation 暗示诠释：生物医学图像分割的深度积极学习框架 |
|
| 47.Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images 利用未经发布的图像的生物医学图像分割深对抗网络 |
|
| 48.Medical Image Synthesis with Context-Aware Generative Adversarial Networks 医学图像合成与上下文感知生成的对抗网络 |
|
| 49.Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks 基于多模式卷积神经网络的多参数MRI中前列腺癌的联合检测与诊断 |
|
| 50.SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging SD-层：医学微观成像中CNN的染色去卷积层 |
|
| 51.X-Ray In-Depth Decomposition: Revealing the Latent Structures X射线深度分解：揭示潜在结构 |
|
| 52.Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network 卷积神经网络X射线血管造影对比度流入的快速预期检测及经常性神经网络 |
|
| 53.Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning 用机器学习定量磁共振光谱成像中代谢物的定量 |
|
| 54.Building Disease Detection Algorithms with Very Small Numbers of Positive Samples 用非常少量的阳性样品构建疾病检测算法 |
|
| 55.Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis 从多发性硬化中发现神经肌炎OPTIS的脑部密度和组织完整性特征的分层多模融合 |
|
| 56.Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification 深度卷积的编码器 - 用于前列腺癌检测和分类的解码器 |
|
| 57.Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes 大型3D CT卷中自动椎骨标签的形状基础学习的深层图像到图像经常性网络 |
|
| 58.Automatic Liver Segmentation Using an Adversarial Image-to-Image Network 使用对抗图像到图像网络自动肝脏分割 |
|
| 59.Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation MRI中的域适应的转移学习：脑病变分割中的应用 |
|
| 60.Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN 视网膜微型病检测使用临床报告引导多筛分CNN |
|
| 61.Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks 双阶段深卷积神经网络的病变检测和糖尿病视网膜病变分析 |
|
| 62.Hashing with Residual Networks for Image Retrieval 散列与图像检索的剩余网络 |
|
| 63.Deep Multiple Instance Hashing for Scalable Medical Image Retrieval 可扩展的医学图像检索的深层多实例散列 |
|
| 64.Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks 使用深卷积神经网络计算的计算机断层摄影图像中精确的肺结核检测 |
|
| 65.Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules 用于肺结核弱监督分割的CNN中的辨别定位 |
|
| 66.Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder 基于修改稀疏自动化器的两阶段显着模型的肝病变检测 |
|
| 67.Manifold Learning of COPD 歧管学习COPD |
|
| 68.Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning 乳房MRI中的杂种质量检测结合了无监督的显着性分析和深度学习 |
|
| 69.Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification 具有稀疏标签分配的深度多实例网络，用于整个乳房X线照片分类 |
|
| 70.Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs 使用聚集正交决策的分割肾定位和体积估计CNNS |
|
| 71.Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images CT图像的病理肺分割的渐进和多路径全面嵌套神经网络 |
|
| 72.Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning 自动化肺结结通过3D CoundNets具有在线样本滤波和混合损失残余学习的探测 |
|
| 73.CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance 套件：课程适应性采样，用于极端数据不平衡 |
|
| 74.Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT 肿瘤内造成型造成（IPRIS）：用于肺CT的结节诊断的3D描述符 相关文章 |
