最近有一些调研的任务,就把MICCAI 2015 partI 的88篇论文简单过了一下,总结成了一个表格,方便自己以及有需要的朋友查阅。
顺便介绍一下MICCAI这个会议,它在计算机辅助诊断领域即计算机与医学结合领域的地位无人能及啊,有超过CVPR在机器学习领域的势头,论文的质量很高,很值得一读。
序号 | 标题 | 发病部位/疾病 | 诊疗方法 | 深度学习(1有,0没有) | 迁移学习(1有,0没有) | 多源异构(1有,0没有) |
Advanced MRI: Diffusion, fMRI, DCE | ||||||
1 | Automatic Segmentation of Renal Compartments in DCE-MRI Images | 肾脏 肾脏分割 |
MRI | 0 | 0 | 0 |
2 | Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners | 大脑 不同扫描设备之间的协同分析 |
MRI | 0 | 0 | 0 |
3 | Track Filtering via Iterative Correction of TDI Topology | 大脑 纤维束成像 跟踪滤波 |
纤维束成像 | 0 | 0 | 0 |
4 | Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes | 大脑 扩散MRI均匀采样方法 |
MRI | 0 | 0 | 0 |
5 | q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans | 大脑 缩短图像采集时间 |
MRI | 1 | 0 | 0 |
6 | A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting | 大脑 纤维束成像 |
纤维束成像 | 0 | 0 | 0 |
7 | Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation | 大脑 量化脑结构连通性 |
MRI | 0 | 0 | 0 |
8 | An Iterated Complex Matrix Approach for Simulation and Analysis of Diffusion MRI Processes | —— | MRI | 0 | 0 | 0 |
9 | Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances | 大脑 早产儿运动功能受损情况预测 |
弥散张量成像 DTI |
0 | 0 | 0 |
10 | Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors | 肾脏 肾脏分割 |
MRI | 0 | 0 | 0 |
11 | Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis | 大脑 脑血流量变化定量测量 |
MRI | 0 | 0 | 0 |
12 | Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination | 大脑 根据MRI预测CT |
MRI/CT | 0 | 0 | 0 |
13 | Robust Automated White Matter Pathway Reconstruction for Large Studies | 大脑 白质通路自动重建 |
MRI | 0 | 0 | 0 |
14 | Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes | —— | MRI | 0 | 0 | 0 |
15 | Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI | 大脑 估计白质纤维取向 |
MRI | 0 | 0 | 0 |
16 | Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder | 大脑 双向情感障碍亚型分析 |
MRI | 0 | 0 | 0 |
17 | Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference | 大脑 利用光纤连接模式引导全脑fsMRI信号的稀疏表达的构建 |
MRI | 0 | 1 | 0 |
18 | Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data | 大脑 | MRI | 0 | 0 | 0 |
19 | Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis | 大脑 | 扩散峰度成像DKI | 0 | 0 | 0 |
20 | Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? | 大脑 流形学习 |
扩散张量成像DT-MRI | 0 | 0 | 0 |
21 | Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images | 大脑 无监督重建灰质、白质以及脑脊液 |
扩散加权成像 DWI |
0 | 0 | 0 |
22 | Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning | 大脑 HARDI稀疏表示与字典学习 |
高角分辨率扩散成像HARDI | 0 | 0 | 0 |
23 | Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization | 大脑 | 扩散加权成像 DWI |
0 | 0 | 0 |
24 | V–Bundles: Clustering Fiber Trajectories from Diffusion MRI in Linear Time | 大脑 改进纤维聚类算法 |
扩散MRI | 0 | 0 | 0 |
25 | Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke | 大脑 中风 |
扩散MRI | 0 | 0 | 0 |
26 | Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer’s Disease | 大脑 阿尔茨海默症 |
fMRI | 0 | 0 | 0 |
27 | Simultaneous Denoising and Registration for Accurate Cardiac Diffusion Tensor Reconstruction from MRI | 心脏 去噪和配准 |
扩散张量成像DT-MRI | 0 | 0 | 0 |
28 | Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties | 大脑 迭代子空间筛选,减小数据维度 |
扩散MRI | 0 | 0 | 0 |
29 | Elucidating Intravoxel Geometry in Diffusion-MRI: Asymmetric Orientation Distribution Functions (AODFs) Revealed by a Cone Model | 大脑 | 扩散MRI | 0 | 0 | 0 |
30 | Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding | 大脑 全监督的稀疏编码和字典学习 |
fMRI | 0 | 0 | 0 |
Computer Assisted and Image-guided Interventions | ||||||
31 | Autonomous Ultrasound-Guided Tissue Dissection | 微创肿瘤切除 自治术中超声成像系统 |
超声 | 0 | 0 | 0 |
32 | A Compact Retinal-Surgery Telemanipulator that Uses Disposable Instruments | 视网膜手术 手术遥控装置 |
器械系统 | 0 | 0 | 0 |
33 | Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery | 视网膜 视网膜显微手术中的手术刀跟踪与姿态估计 |
显微镜 | 0 | 0 | 0 |
34 | Direct Calibration of a Laser Ablation System in the Projective Voltage Space | 骨科手术 激光烧蚀 |
—— | 0 | 0 | 0 |
35 | Surrogate-Driven Estimation of Respiratory Motion and Layers in X-Ray Fluoroscopy | 估计X射线荧光检查中的密集运动 (例如呼吸,心跳?) |
X射线荧光检查 | 0 | 0 | 0 |
36 | Robust 5DOF Transesophageal Echo Probe Tracking at Fluoroscopic Frame Rates | 心脏 结构性心脏干预 |
超声/X射线 | 0 | 0 | 1 |
37 | Rigid Motion Compensation in Interventional C-arm CT Using Consistency Measure on Projection Data | 脑出血、中风 观测脑出血,计算成本低,鲁棒性高 |
C-arm CT | 0 | 0 | 0 |
38 | Hough Forests for Real-Time, Automatic Device Localization in Fluoroscopic Images: Application to TAVR | 心脏 针对多模态图像融合的透视设备姿态估计 |
X射线荧光检查 | 0 | 0 | 0 |
39 | Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion | 呼吸器官运动的高帧率成像 | 超声/MRI | 0 | 0 | 0 |
40 | A Portable Intra-Operative Framework Applied to Distal Radius Fracture Surgery | 桡骨远端骨折手术中,辅助确定螺钉位置 | 器械系统 | 0 | 0 | 0 |
41 | Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow | 前列腺 微创外科手术器械的三维姿态估计 |
器械系统 | 0 | 0 | 0 |
42 | Adaption of 3D Models to 2D X-Ray Images during Endovascular Abdominal Aneurysm Repair | 腹主动脉瘤腔内修复 畸变修正方法 |
CT/X射线 | 0 | 0 | 0 |
43 | Projection-Based Phase Features for Localization of a Needle Tip in 2D Curvilinear Ultrasound | 超声成像探头定位 | 超声 | 0 | 0 | 0 |
44 | Inertial Measurement Unit for Radiation-Free Navigated Screw Placement in Slipped Capital Femoral Epiphysis Surgery | 股骨头骨骺滑脱手术 利用惯性测试单元减少确定钻头轨迹以及螺钉位置所需的X射线图像数量 |
X射线 | 0 | 0 | 0 |
45 | Pictorial Structures on RGB-D Images for Human Pose Estimation in the Operating Room | 利用RGB-D图像对手术室中的人体姿态进行估计 | RGB-D图像 | 0 | 0 | 0 |
46 | Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries | 在微创胎儿手术中检测胎盘血管 | 光声成像/超声 | 0 | 0 | 0 |
47 | Automated Segmentation of Surgical Motion for Performance Analysis and Feedback | 通过运动捕捉系统等对外科手术的质量进行评估 | —— | 0 | 0 | 0 |
48 | Vision-Based Intraoperative Cone-Beam CT Stitching for Non-overlapping Volumes | 结合X射线减少锥形束CT在图像拼接过程中的辐射剂量 | 锥形束CT | 0 | 0 | 0 |
49 | Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy | 光学结肠镜检查 一种用来估计未覆盖区域的的新方法 |
光学结肠镜 | 0 | 0 | 0 |
50 | Tissue Surface Reconstruction Aided by Local Normal Information Using a Self-calibrated Endoscopic Structured Light System | 检测组织表面形状 | 结构光 | 0 | 0 | 0 |
51 | Surgical Augmented Reality with Topological Changes | 一种用于微创手术中的可处理拓补结构的奇异性的增强现实方法 | 腹腔镜 | 0 | 0 | 0 |
52 | Towards an Efficient Computational Framework for Guiding Surgical Resection through Intra-operative Endo-microscopic Pathology | 大脑 用于术中脑肿瘤的精确检测和切除的实时自动脑肿瘤分类框架 |
体内成像技术,如激光共聚焦显微内镜 | 0 | 0 | 0 |
53 | Automated Assessment of Surgical Skills Using Frequency Analysis | 利用频率分析对手术技巧进行自动评估 | —— | 0 | 0 | 0 |
54 | Robust Live Tracking of Mitral Valve Annulus for Minimally-Invasive Intervention Guidance | 心脏二尖瓣 | 超声 | 0 | 0 | 0 |
55 | Motion-Aware Mosaicing for Confocal Laser Endomicroscopy | 一种可以提供激光共聚焦显微内镜诊断中的动态信息的算法 | 激光共聚焦显微内镜 | 0 | 0 | 0 |
56 | A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels | 胎盘血管可视化 | 激光散斑对比成像 | 0 | 0 | 0 |
57 | Marker-Less AR in the Hybrid Room Using Equipment Detection for Camera Relocalization | 增强现实 无先验场景模型,动态计算3D模型 |
—— | 0 | 0 | 0 |
58 | Hybrid Retargeting for High-Speed Targeted Optical Biopsies | 肠胃 探针定位 |
光学活检如激光共聚焦显微内镜 | 0 | 0 | 0 |
59 | Visual Force Feedback for Hand-Held Microsurgical Instruments | 对手持式显微手术器械进行视觉反馈 | —— | 0 | 0 | 0 |
60 | Automated Three-Piece Digital Dental Articulation | 颅颌面外科 在上颌骨分为三块的时候,数字化重建牙齿咬合 |
—— | 0 | 0 | 0 |
61 | A System for MR-Ultrasound Guidance during Robot-Assisted Laparoscopic Radical Prostatectomy | 前列腺癌 超声、磁共振手术引导系统 |
机器人辅助腹腔镜 | 0 | 0 | 0 |
Computer Aided Diagnosis: Machine Learning | ||||||
62 | Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks | 胎儿超声检测 将递归神经网络的知识迁移到超声检测中 |
超声 | 0 | 1 | 0 |
63 | Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks | 精确定位和识别三维脊柱图像中的脊椎 | 3D-CT | 1 | 0 | 0 |
64 | Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning | 脑小血管疾病 | CT | 0 | 0 | 0 |
65 | Why Does Synthesized Data Improve Multi-sequence Classification? | 处理多序列磁共振成像缺失序列问题 多模态 |
MRI | 0 | 0 | 0 |
66 | Label Stability in Multiple Instance Learning | 解决多例学习中实例标签稳定性的问题 | —— | 0 | 0 | 0 |
67 | Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation | 皮质分割 | 光谱 | 0 | 0 | 0 |
68 | 3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data | 颈动脉分叉检测 用于3D数据的深度学习 |
CT | 1 | 0 | 0 |
69 | A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI | 轻度认知障碍 深度学习与隐马尔科夫随机场混合 |
静态fMRI | 1 | 0 | 0 |
70 | Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma | 脑肿瘤 识别髓母细胞瘤的亚型 |
组织病理学 | 0 | 0 | 0 |
71 | Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks | 利用CT血管造影对冠状动脉钙化情况进行量化 | CT血管造影 | 1 | 0 | 0 |
72 | A Random Riemannian Metric for Probabilistic Shortest-Path Tractography | 大脑 | 扩散MRI | 0 | 0 | 0 |
73 | Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms | 乳腺 将深度卷积网络和深度信念网络作为势函数,与条件随机场和结构化支持向量机相结合,进行X射线成像中的乳腺肿瘤分割 |
X射线 | 1 | 0 | 0 |
74 | Learning Tensor-Based Features for Whole-Brain fMRI Classification | 大脑 基于张量特征的全脑MRI分类,灰质白质脑脊液分类 |
fMRI | 0 | 0 | 0 |
75 | Prediction of Trabecular Bone Anisotropy from Quantitative Computed Tomography Using Supervised Learning and a Novel Morphometric Feature Descriptor | 骨小梁 运用监督学习和形态特征描述对骨小梁的各向异性进行描述 |
CT | 0 | 0 | 0 |
76 | Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation | 卵巢癌 通过稀疏多分辨率组织表示对卵巢癌不同亚型进行自动诊断 |
组织病理学 | 0 | 0 | 0 |
77 | Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme | 医学图像分割 | —— | 0 | 0 | 0 |
78 | Multiple Instance Cancer Detection by Boosting Regularised Trees | 乳腺、大肠息肉 基于多示例学习的癌症检测 |
组织病理学 | 0 | 0 | 0 |
79 | DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation | 基于CNN的胰腺分割 | CT | 1 | 0 | 0 |
80 | Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation | 脊椎定位与分割 | CT | 0 | 0 | 0 |
81 | Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain | 昆虫神经连接图自动重建 | 电子显微镜 | 0 | 0 | 0 |
82 | Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression | 心脏 针对心脏四腔直接且同步的体积估计 |
MRI | 0 | 0 | 0 |
83 | Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network | 大脑 跨模态图像融合 |
MRI | 1 | 0 | 0 |
84 | Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties | 大脑 通过医学图像了解解剖或功能特性 |
MRI | 0 | 0 | 0 |
85 | Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets | 在不完整的多模态数据集上训练随机森林 | —— | 0 | 0 | 0 |
86 | Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier | 阿尔茨海默症 利用最大间隔多元超平面分类器进行疾病异质性分类 |
MRI | 0 | 0 | 0 |
87 | Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data | 解决扫描大容量输入图像的效率问题以及人工选择特征问题 | —— | 1 | 0 | 0 |
88 | Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis | 基于黎曼流形的非线性回归在神经影像学分析方面的应用 | MRI | 0 | 0 | 0 |