Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images
出版年份 2016 全文链接
标题
Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images
作者
关键词
-
出版物
International Journal for Numerical Methods in Biomedical Engineering
Volume 33, Issue 5, Pages e2827
出版商
Wiley
发表日期
2016-08-24
DOI
10.1002/cnm.2827
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing
- (2016) Florin C. Ghesu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Patient-Specific Computer Modeling to Predict Aortic Regurgitation After Transcatheter Aortic Valve Replacement
- (2016) Peter de Jaegere et al. JACC-Cardiovascular Interventions
- Subject-specific finite-element modeling of normal aortic valve biomechanics from 3D+t TEE images
- (2015) Michel R. Labrosse et al. MEDICAL IMAGE ANALYSIS
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Computational Modeling of Cardiac Valve Function and Intervention
- (2014) Wei Sun et al. Annual Review of Biomedical Engineering
- Simulations of transcatheter aortic valve implantation: implications for aortic root rupture
- (2014) Qian Wang et al. Biomechanics and Modeling in Mechanobiology
- Simulation of transcatheter aortic valve implantation through patient-specific finite element analysis: Two clinical cases
- (2014) S. Morganti et al. JOURNAL OF BIOMECHANICS
- Can isolated annular dilatation cause significant ischemic mitral regurgitation? Another look at the causative mechanisms
- (2014) Qian Wang et al. JOURNAL OF BIOMECHANICS
- Simulation of transcatheter aortic valve implantation: a patient-specific finite element approach
- (2013) F. Auricchio et al. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
- Contour tracking in echocardiographic sequences via sparse representation and dictionary learning
- (2013) Xiaojie Huang et al. MEDICAL IMAGE ANALYSIS
- Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation
- (2012) Yefeng Zheng et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Patient-specific modeling of biomechanical interaction in transcatheter aortic valve deployment
- (2012) Qian Wang et al. JOURNAL OF BIOMECHANICS
- Biomechanical characterization of aortic valve tissue in humans and common animal models
- (2012) Caitlin Martin et al. JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A
- Patient-specific simulations of transcatheter aortic valve stent implantation
- (2012) C. Capelli et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow
- (2011) Robert J. Schneider et al. MEDICAL IMAGE ANALYSIS
- Dimensional Analysis of Aortic Root Geometry During Diastole Using 3D Models Reconstructed from Clinical 64-Slice Computed Tomography Images
- (2011) Qian Wang et al. Cardiovascular Engineering and Technology
- Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
- (2010) I Arel et al. IEEE Computational Intelligence Magazine
- Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
- (2010) Razvan Ioan Ionasec et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Dynamic finite element analysis of the aortic root from MRI-derived parameters
- (2010) Carlo A. Conti et al. MEDICAL ENGINEERING & PHYSICS
- Segmentation of the Left Ventricle From Cardiac MR Images Using a Subject-Specific Dynamical Model
- (2009) Yun Zhu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Migration forces of transcatheter aortic valves in patients with noncalcific aortic insufficiency
- (2009) Harry A. Dwyer et al. JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
- Statistical shape models for 3D medical image segmentation: A review
- (2009) Tobias Heimann et al. MEDICAL IMAGE ANALYSIS
- Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features
- (2008) Yefeng Zheng et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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