（二十：2020.11.06）MICCAI 2020 追踪之论文纲要（译）＜下＞

讲在前面

此文章包含第五、第六和第七部分。

论文目录

PART V 《Biological, Optical and Microscopic Image Analysis 生物，光学和显微图像分析》

生物，光学，显微成像	概要
1.Channel Embedding for Informative Protein Identification from Highly Multiplexed Images 通道嵌入用于从高度复用的图像中鉴定信息性蛋白质
2.Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization 通过可变形的非负矩阵分解分解秀丽隐杆线虫中的钙成像数据	开源代码
3.Automated Measurements of Key Morphological Features of Human Embryos for IVF 快速标记方法可靠吗？ 显微镜载玻片上计算机辅助专家注释的案例研究
4.A Novel Approach to Tongue Standardization and Feature Extraction 舌头标准化和特征提取的新方法
5.Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising 基于补丁的非局部贝叶斯网络用于共聚焦显微镜去噪
6.Attention-Guided Quality Assessment for Automated Cryo-EM Grid Screening 自动化Cryo-EM网格筛选的注意力指导质量评估
7.MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images MitoEM数据集：来自EM图像的大规模3D线粒体实例分割	开源代码
8.Learning Guided Electron Microscopy with Active Acquisition 具有主动采集功能的学习型引导电子显微镜
9.Neuronal Subcompartment Classification and Merge Error Correction 神经元小室分类和合并错误校正
10.Microtubule Tracking in Electron Microscopy Volumes 电子显微镜体积中的微管跟踪	开源代码
11.Statistical Atlas of C. elegans Neurons 秀丽隐杆线虫神经元统计图集	开源代码
12.Probabilistic Joint Segmentation and Labeling of C. elegans Neurons 秀丽隐杆线虫神经元的概率联合分割和标记	开源代码
13.Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptual Grouping 使用感官分组在超分辨率显微镜中分割连续但稀疏标记的结构
14.DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging DISCo：深度学习，实例分割以及钙成像中细胞分割的相关性
15.Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning 具有无监督退化学习的3D EM图像的各向同性重构
16.Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground 具有相关前景的延时显微镜数据的背景和照明校正
17.Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution 联合空间小波双流网络实现超高分辨率	开源代码
18.Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach 从猕猴脑图像走向神经元分割：弱监督的方法。	开源代码
19.3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology 无MRI神经病理学的解剖照片的3D重建和分割	开源代码
20.DistNet: Deep Tracking by Displacement Regression: Application to Bacteria Growing in the Mother Machine DistNet：通过位移回归进行深度跟踪：在母机中细菌生长中的应用
21.A Weakly Supervised Deep Learning Approach for Detecting Malaria and Sickle Cells in Blood Films 一种弱监督的深度学习方法，用于检测血膜中的疟疾和镰状细胞
22.Imaging Scattering Characteristics of Tissue in Transmitted Microscopy 透射显微镜中组织的成像散射特性
23.Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders 基于注意力的多实例学习对血细胞疾病的分类
24.A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure 解释大脑结构中总体水平变异的生成建模方法
25.Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT 术中4D OCT的处理感知实时渲染可优化组织可视化

细胞分割和染色归一化	概要
26.Boundary-Assisted Region Proposal Networks for Nucleus Segmentation 用于边界分割的边界辅助区域建议网	开源代码
27.BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting BCData：用于细胞检测和计数的大规模数据集和基准
28.Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy 基于点注释的弱监督核分割：一种从粗到细的自我激励学习策略	开源代码
29.Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance 使用自我监督的语义指导对组织病理学图像进行结构保留染色标准化
30.A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets 用于稀疏注释病理数据集的目标检测网络训练的新型损耗校准策略
31.Histopathological Stain Transfer Using Style Transfer Network with Adversarial Loss 使用带有对抗性损失的样式转移网络进行组织病理学染色转移
32.Instance-Aware Self-supervised Learning for Nuclei Segmentation 实例感知的自我监督学习，用于核分割
33.StyPath: Style-Transfer Data Augmentation for Robust Histology Image Classification StyPath：样式传递数据增强，用于稳健的组织学图像分类
34.Multimarginal Wasserstein Barycenter for Stain Normalization and Augmentation 多边缘Wasserstein重心用于污点归一化和增强
35.Corruption-Robust Enhancement of Deep Neural Networks for Classification of Peripheral Blood Smear Images 深度神经网络的腐败增强功能用于外周血涂片图像分类
36.Multi-field of View Aggregation and Context Encoding for Single-Stage Nucleus Recognition 单阶段核识别的多视野聚合和上下文编码
37.Self-supervised Nuclei Segmentation in Histopathological Images Using Attention 使用注意力在组织病理学图像中的自我监督核分割	开源代码
38.FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology FocusLiteNN：数字病理学的高效聚焦质量评估

组织病理学图像分析	概要
39.Pairwise Relation Learning for Semi-supervised Gland Segmentation 成对关系学习用于半监督腺体分割
40.Ranking-Based Survival Prediction on Histopathological Whole-Slide Images 组织病理学全幻灯片图像的基于排名的生存预测
41.Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images 全幻灯片图像中基于点的最小注释的肾细胞癌检测和分型	开源代码
42.Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images 审查感知深度序回归从病理图像的生存预测。
43.Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation 追踪组织病理学WSI的诊断路径以诊断相关病例	开源代码
44.Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation 弱监督多实例学习组织病理学肿瘤分割	开源代码
45.Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer 分而治之：用于大肠癌生存分析的自我监督学习	开源代码
46.Microscopic Fine-Grained Instance Classification Through Deep Attention 深度关注的微观细粒度实例分类
47.A Deformable CRF Model for Histopathology Whole-Slide Image Classification 用于组织病理学全幻灯片图像分类的可变形CRF模型
48.Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images 在免疫组织化学图像上进行乳腺癌细分的深度主动学习
49.Multiple Instance Learning with Center Embeddings for Histopathology Classification 具有中心嵌入的多实例学习用于组织病理学分类
50.Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging 图注意力多实例学习技术在结直肠癌分期中的作用
51.Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment 深度互动学习：基于深度学习的骨肉瘤治疗反应评估的有效标记方法
52.Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions 非典型乳腺病变鉴别诊断的组织学模式建模
53.Foveation for Segmentation of Mega-Pixel Histology Images 大像素组织学图像分割的偏爱	开源代码
54.Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval 自动前列腺组织分类和检索的多峰潜在语义比对

眼科	概要
55.GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy GREEN：用于糖尿病性视网膜病变分级的图残留rE排序网络
56.Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network 使用分层血管图网络将眼底图像和荧光素血管造影相结合以进行动脉/静脉分类
57.Adaptive Dictionary Learning Based Multimodal Branch Retinal Vein Occlusion Fusion 基于自适应字典学习的多峰分支视网膜静脉阻塞融合
58.TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification TR-GAN：对视网膜动脉/静脉分类具有三重态损失的GAN拓扑排名
59.DeepGF: Glaucoma Forecast Using the Sequential Fundus Images DeepGF：使用连续眼底图像预测青光眼
60.Single-Shot Retinal Image Enhancement Using Deep Image Priors 使用深图像先验进行单次视网膜图像增强
61.Robust Layer Segmentation Against Complex Retinal Abnormalities for en face OCTA Generation 针对复杂的视网膜异常的稳健层分割，用于面对OCTA生成
62.Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks 具有先进融合策略和辅助任务的前段眼部病变分割
63.Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images 从眼底图像对糖尿病性视网膜病变分级的成本敏感正则化
64.Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images 纠缠网络的光学相干断层扫描图像的无监督斑点减少。
65.Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images 具有跨尺度特征金字塔的OCT图像阳性认识病变检测网络
66.Retinal Layer Segmentation Reformulated as OCT Language Processing 重新定义视网膜层分割为OCT语言处理
67.Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT 眼前节OCT闭角型青光眼3D虹膜表面的重建和量化
68.Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences AS-OCT序列开放性-气膜-胸膜前房角分类
69.A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation 用于AS-OCT组织分割的宏微弱监督框架
70.Macular Hole and Cystoid Macular Edema Joint Segmentation by Two-Stage Network and Entropy Minimization 二阶段网络黄斑孔和囊样黄斑水肿联合分割和熵最小化
71.Retinal Nerve Fiber Layer Defect Detection with Position Guidance 位置引导的视网膜神经纤维层缺陷检测
72.An Elastic Interaction-Based Loss Function for Medical Image Segmentation 基于弹性相互作用的医学图像分割损失函数
73.Retinal Image Segmentation with a Structure-Texture Demixing Network 具有结构-纹理混合网络的视网膜图像分割
74.BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation BEFD：血管分割的边界增强和特征降噪
75.Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network 通过递归语义引导网络增强视网膜血管分割中的连接性
76.RVSeg-Net: An Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation RVSeg-Net：视网膜血管分割的高效功能金字塔级联网络

PART VI《Clinical Applications 临床应用》

血管造影和血管分析	概要
77.Lightweight Double Attention-Fused Networks for Intraoperative Stent Segmentation 轻型双注意融合网络术中支架分割。
78.TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling TopNet：用于保存树重构和标记的拓扑保留度量学习
79.Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction 学习混合表示法以自动进行3D血管中心线提取
80.Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography 用于冠状CT血管造影术中线提取的分支感知双DQN	开源代码
81.Automatic CAD-RADS Scoring Using Deep Learning 使用深度学习自动进行CAD-RADS评分
82.Higher-Order Flux with Spherical Harmonics Transform for Vascular Analysis 具有球谐变换的高阶通量用于血管分析
83.Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network 通过反向边缘注意网络在MRA中进行脑血管分割
84.Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement 使用图神经网络和分级细化自动进行颅内动脉标记	开源代码
85.Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring 时间很重要：处理时空灌注信息以自动进行TICI评分
86.ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment ID-Fit：个性化脑动脉瘤治疗的囊内器械调整
87.JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation JointVesselNet：用于3D脑血管分割的联合体积投影卷积嵌入网络
88.Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images 在眼底图像引导下的OCT血管造影中将视网膜血管分类为动脉静脉
89.Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification 血管表面分割用于颅内动脉瘤的分离和量化

胸部成像	概要
90.Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities 深部双重监督转移网络在超声成像方式不均衡的乳腺癌诊断中的应用
91.2D X-Ray Mammogram and 3D Breast MRI Registration 2D X射线乳房X线照片和3D乳房MRI配准
92.A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound 用于超声乳腺分割的二阶次区域合并网络
93.Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images 超声图像对乳腺病变的多尺度分级融合框架
94.Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network 使用3D检测网络在自动乳腺超声中进行计算机辅助肿瘤诊断
95.Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound 自动加权多模式超声中的乳腺癌分类
96.MommiNet: Mammographic Multi-view Mass Identification Networks MommiNet：乳腺X线多视图质量识别网络
97.Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning 使用深度学习的乳腺X射线照相研究分类器的多站点评估
98.The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net 癌症遗失案例：将AI用作放射科医生的安全网
99.Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models 基于图像的乳腺癌风险模型中固有风险与早期癌症信号的分离	开源代码
100.Multi-task Learning for Detection and Classification of Cancer in Screening Mammography 交叉对比MR图像指导的模型驱动的深度注意网络，用于超快速压缩感MRI

结肠镜检查	概要
101.Adaptive Context Selection for Polyp Segmentation 息肉分割的自适应上下文选择	开源代码
102.PraNet: Parallel Reverse Attention Network for Polyp Segmentation PraNet：用于息肉分割的并行反向注意力网络	开源代码
103.Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy 结肠镜检查息肉帧的少量异常检测	开源代码
104.PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy Videos PolypSeg：用于结肠镜检查视频中息肉分割的高效上下文感知网络
105.Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN 使用混合2D / 3D CNN的内窥镜息肉分割

皮肤科	概要
106.A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images 基于距离的损耗，用于光声图像中平滑连续的皮肤层分割
107.Fairness of Classifiers Across Skin Tones in Dermatology 皮肤病中肤色分类器的公平性
108.Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification 缓解交叉熵损失与发作少的皮肤疾病分类训练的不相容性
109.Clinical-Inspired Network for Skin Lesion Recognition 受临床启发的皮肤病变识别网络
110.Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images 高分辨率临床图像对皮肤T细胞淋巴瘤的多类皮肤病变分割

胎儿影像	概要
111.Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets 带有少量注释数据集的MRI扫描中的深度学习自动胎儿结构分割
112.Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect 具有InSpect的数据驱动的多对比度光谱显微组织成像	开源代码
113.Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency 具有ROI一致性的胎脑MRI质量评估的半监督学习
114.Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy 通过深度强化学习和解剖结构的先验结构增强对3D MRI中胎儿姿势的检测
115.Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep Learning 深度学习自动测量产前经会阴超声图像的进度角
116.Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning 利用深度学习对胎儿MRI进行联合图像质量评估和脑部提取

心脏和肺部成像	概要
117.Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network 具有基于模型的变分网络的加速4D呼吸运动分解心脏MRI
118.Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation 运动金字塔网络，可进行准确，高效的心脏运动估计
119.ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation ICA-UNet：ICA启发式统计UNet，用于实时3D心脏电影MRI分割
120.A Bottom-Up Approach for Real-Time Mitral Valve Annulus Modeling on 3D Echo Images 自下而上的实时二尖瓣环在3D回波图像上建模的方法
121.A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography 半监督联合网络在4D超声心动图中同时进行左心室运动追踪和分割
122.Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets 联合数据插补和机制建模以模拟不完整数据集中的心脑交互作用
123.Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction 学习几何相关和基于物理的逆图像重建
124.Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study 肺部病变的分级分类：大规模的放射病学研究
125.Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules 通过随访预测肺结节的肿瘤生长
126.Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction 多流渐进式上采样网络用于密集CT图像重建
127.Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders 使用不确定度预测自动编码器检测胸部X射线图像中的异常
128.Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification 针对弱监督的疾病定位和分类的显着性图细化的区域提案	开源代码
129.CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans CPM-Net：用于CT扫描中肺结节检测的3D中心点匹配网络
130.Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT CT的间质性肺病（ILD）相关发现的可解释性鉴定
131.Learning with Sure Data for Nodule-Level Lung Cancer Prediction 学习具有确定性数据的结节水平肺癌预测
132.Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation 不完善标签的级联鲁棒学习，用于胸部X射线分割
133.Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features 基于语义特征的类感知多窗口对抗肺结节合成	开源代码
134.Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation Nodule2vec：使用语义表示的3D深度学习系统，用于肺结节的检索
135.Deep Active Learning for Effective Pulmonary Nodule Detection 深度主动学习可有效检测肺结节

肌肉骨骼成像	概要
136.Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity 迈向健壮的骨龄评估：重新思考标签的噪音和歧义
137.Improve Bone Age Assessment by Learning from Anatomical Local Regions 通过从局部解剖区域学习来改善骨龄评估
138.An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCT 综合分析方法，可对临床QCT的皮质骨厚度进行精确的空间建模
139.Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning 通过显着的显着性学习对腰椎脊柱各个水平的椎旁肌肉进行分割
140.Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment 基于TW3的骨龄评估中有序类的流形序数混合
141.Contour-Based Bone Axis Detection for X-Ray Guided Surgery on the Knee 基于轮廓的膝关节X射线引导手术的骨轴检测
142.Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks 使用级联卷积神经网络的3D CT图像中椎骨的自动分割，定位和识别
143.Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis 区分词典的嵌入式网络可全面诊断椎骨肿瘤
144.Multi-vertebrae Segmentation from Arbitrary Spine MR Images Under Global View 全局视野下任意脊柱MR图像的多椎骨分割
145.A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI 全脊柱MRI的卷积椎骨检测和标记方法
146.Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification 关节椎骨检测和骨折严重程度量化的关键点定位	开源代码
147.Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection 分级损失：椎骨骨折检测的基于骨折等级的度量标准损失。
148.3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT 3D卷积序列到序列模型用于CT椎骨压缩性骨折识别
149.SIMBA: Specific Identity Markers for Bone Age Assessment SIMBA：骨龄评估的特定身份标记	开源代码
150.Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand Radiographs 模仿医生：一个基于图的手部X线骨龄评估框架
151.Inferring the 3D Standing Spine Posture from 2D Radiographs 从2D射线照片推断3D站立脊柱姿势
152.Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural Parameters 具有可控微结构参数的3D硅海绵体内生成模型	开源代码
153.GAN-Based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation 基于GAN的逼真的骨骼超声图像和标签合成可改善分割效果
154.Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition 通过任务分解从2D超声进行稳健的骨影分割

PART VII《Neurological Imaging and PET 神经医学图像和PET》

大脑发育和地图集	概要
155.A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer’s Disease 表征密集脑Chronnectome动态冗余的新指标及其在阿尔茨海默氏病的早期检测中的应用
156.A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy 与婴儿早期区域模块化分配中的个体可变灵活性相关的与发展分离的计算框架
157.Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains 领域不变的先验知识指导的注意力网络，用于发育中的猕猴的强健颅骨剥离
158.Parkinson’s Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks 通过fMRI衍生的脑干区域功能连接网络检测帕金森氏病
159.Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification 基于广义融合套索的多模式脑网络持久性特征分析
160.Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network 通过基于多GCN的生成对抗网络从功能连接中恢复大脑结构连接
161.From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity 从Connectomic到任务诱发的指纹：静止状态功能连通性对任务对比度的个性化预测	开源代码
162.Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting 婴幼儿功能Connectome指纹识别的解缠密集三重态自动编码器
163.COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children COVLET：基于协方差的小波变换，用于儿童脑部特征的统计分析
164.Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression 肮脏的多任务回归揭示了物种共有和特定的结构联系
165.Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis 自加权多任务学习对主观认知下降的诊断
166.Unified Brain Network with Functional and Structural Data 具有功能和结构数据的统一大脑网络
167.Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease 在图卷积网络中集成相似度感知和自适应校准以预测疾病
168.Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features 基于多流基于注意的时间路径签名特征的婴儿认知分数预测
169.Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT Volumes 蒙面多任务网络用于脑CT量病例级颅内出血分类
170.Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates 深度图规范化器：用于估计连接脑模板的几何深度学习方法	开源代码
171.Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation 有监督的多拓扑网络交叉扩散，用于人口驱动的脑网络图集估计	开源代码
172.Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast 任何分辨率和对比度的脑MRI扫描的部分体积分割	开源代码
173.BDB-Net: Boundary-Enhanced Dual Branch Network for Whole Brain Segmentation BDB-Net：用于全脑分割的边界增强双分支网络
174.Brain Age Estimation from MRI Using a Two-Stage Cascade Network with Ranking Loss 使用具有分级损失的两级级联网络从MRI进行脑年龄估计
175.Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation 上下文感知细化网络结合了用于大脑中线描绘的结构连接	开源代码
176.Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping 利用视网膜定位中的容错Teichmüller映射优化视觉皮质参数化
177.Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection 早期轻度认知障碍检测的多尺度增强图卷积网络
178.Construction of Spatiotemporal Infant Cortical Surface Functional Templates 时空婴儿皮质表面功能模板的构建

DWI和牵引描记术	概要
179.Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles 字典字典学习，可快速，稳健地识别光纤束
180.Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity 通过光纤连续性对扩散MRI数据进行全球优化的超分辨率
181.White Matter Tract Segmentation with Self-supervised Learning 具有自我监督学习能力的白色物质分割	开源代码
182.Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks 通过图卷积神经网络用欠采样扩散数据估算组织微结构
183.Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning 通过几何深度学习对解剖学上不合理的纤维进行牵引线过滤	开源代码
184.Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging 用于Connectome成像中磁化率畸变校正的无监督深度学习
185.Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis 纵向DW-MRI分析的扩散方向分布函数的分层测地线建模
186.TRAKO: Efficient Transmission of Tractography Data for Visualization TRAKO：高效传输牵引力数据以进行可视化	开源代码
187.Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation 保留空间语义的潜在空间学习以加速DWI诊断报告的生成
188.Trajectories from Distribution-Valued Functional Curves: A Unified Wasserstein Framework 分布值函数曲线的轨迹：统一的Wasserstein框架
189.Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging 用球均光谱成像表征胞内扩散

功能性脑网络	概要
190.Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold 估计Stiefel流形上脑网络的常见谐波波
191.Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition 神经结构搜索对时空脑网络分解的优化
192.Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer’s Disease Analysis 注意导向的深度图神经网络用于纵向阿尔茨海默氏病分析
193.Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis 静止状态功能磁共振成像中的丰富表示学习用于早期MCI诊断
194.Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations 整个MILC：跨任务，数据集和总体推广学习的动力	开源代码
195.A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer’s Disease 在阿尔茨海默氏病中传播病理性Tau的物理信息几何学习模型
196.A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data 从fMRI数据推断呼吸量波动的深度模式识别方法	开源代码
197.A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism 集成多模态和动态连通性的深度生成混合模型，用于预测自闭症的频谱水平缺陷
198.Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain Poincaré嵌入揭示了基于边缘的大脑功能网络
199.The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging 基于网络的受限统计量：神经成像的新推论
200.Learning Personal Representations from fMRI by Predicting Neurofeedback Performance 通过预测神经反馈性能从功能磁共振成像学习个人表征
201.A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data 用于对fMRI数据进行消噪的3D卷积封装长短期记忆（3DConv-LSTM）模型
202.Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning 通过动态图嵌入学习检测功能连接的变化
203.Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE) 使用3D残差自动编码器（ResAE）发现功能性大脑网络
204.Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification 用于ADHD分类的时空注意自动编码器（STAAE）
205.Global Diffeomorphic Phase Alignment of Time-Series from Resting-State fMRI Data 从静止状态fMRI数据得出的时间序列的全局微分相位对准
206.Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis 时空图卷积的静态fMRI分析	开源代码
207.A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response 共享神经编码模型，用于预测特定受试者的功能磁共振成像反应	开源代码

神经影像学	概要
208.Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph 从单个脑图联合预测多个脑图的拓扑感知生成对抗网络	开源代码
209.Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction 边缘变异图卷积网络用于不确定性感知的疾病预测
210.Fisher-Rao Regularized Transport Analysis of the Glymphatic System and Waste Drainage Fisher-Rao淋巴系统和废物排放的正规运输分析
211.Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline 联合神经图像合成与表示学习用于主观认知下降的转换预测
212.Differentiable Deconvolution for Improved Stroke Perfusion Analysis 可微解卷积以改善中风灌注分析
213.Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder 感知空间相似性学习和融合深度多项式网络，用于检测强迫症
214.Deep Representation Learning for Multimodal Brain Networks 多模式脑网络的深度表示学习
215.Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis 融合正则化图神经网络进行fMRI生物标志物分析
216.Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington’s Disease 基于补丁的异常图，用于改进基于深度学习的亨廷顿舞蹈病分类
217.A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation 婴幼儿大脑皮层下分割的深层空间上下文指导框架
218.Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE *使用2D Slice VAE对3D脑MRI分布进行建模	开源代码
219.Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis 空间分量分析可减轻基于体素的分析中的多项测试
220.MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases MAGIC：脑疾病的多尺度异质性分析和聚类
221.PIANO: Perfusion Imaging via Advection-Diffusion PIANO：通过对流扩散进行灌注成像
222.Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data 神经影像数据的多站点标准化建模的多层贝叶斯回归
223.Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks 使用图像空间变压器网络的多站点数据的图像级协调
224.A Disentangled Latent Space for Cross-Site MRI Harmonization 跨站点MRI协调的散乱的潜在空间
225.Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer 脑癌磁共振波谱的自动采集计划	开源代码

PET	概要
226.Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning 使用具有门到门一致性学习功能的暹罗对抗网络，对低剂量门控PET同时进行去噪和运动估计
227.Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy 在放射治疗中使用3D CT / PET成像通过基于距离的门控进行淋巴结大肿瘤体积检测和分割
228.Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search 基于放射学的神经体系结构搜索的多模态信息融合
229.Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network 基于关系学习的图神经网络在肿瘤影像学中的淋巴结总肿瘤体积检测
230.Rethinking PET Image Reconstruction: Ultra-Low-Dose, Sinogram and Deep Learning 重新思考PET图像重建：超低剂量，Singram和深度学习
231.Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network 利用卷积神经网络从运动校正的动态PET到临床可翻译的直接Patlak重建
232.Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS) 无准直闪烁成像技术，用于具有加权稳健最小二乘（WRLS）的极低活性靶向性Alpha治疗（TAT）成像