Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images
Authors
Keywords
-
Journal
International Journal for Numerical Methods in Biomedical Engineering
Volume 33, Issue 5, Pages e2827
Publisher
Wiley
Online
2016-08-24
DOI
10.1002/cnm.2827
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now