Related references
Note: Only part of the references are listed.Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Georgios Kissas et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
Hemodynamics of Cerebral Aneurysms: Connecting Medical Imaging and Biomechanical Analysis
Vitaliy L. Rayz et al.
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, VOL 22 (2020)
Blood flow imaging by optimal matching of computational fluid dynamics to 4D-flow data
Johannes Toger et al.
MAGNETIC RESONANCE IN MEDICINE (2020)
4DFlowNet: Super-Resolution 4D Flow MRI Using Deep Learning and Computational Fluid Dynamics
Edward Ferdian et al.
FRONTIERS IN PHYSICS (2020)
In VitroAssessment of Flow Variability in an Intracranial Aneurysm Model Using 4D Flow MRI and Tomographic PIV
Rafael Medero et al.
ANNALS OF BIOMEDICAL ENGINEERING (2020)
Caval to pulmonary 3D flow distribution in patients with Fontan circulation and impact of potential 4D flow MRI error sources
Kelly Jarvis et al.
MAGNETIC RESONANCE IN MEDICINE (2019)
MRI-based modeling of spleno-mesenteric confluence flow
David R. Rutkowski et al.
JOURNAL OF BIOMECHANICS (2019)
Reconciling PC-MRI and CFD: An in-vitro study
Thomas Puiseux et al.
NMR IN BIOMEDICINE (2019)
4D Flow MRI Estimation of Boundary Conditions for Patient Specific Cardiovascular Simulation
Ryan Pewowaruk et al.
ANNALS OF BIOMEDICAL ENGINEERING (2019)
Visualizing and quantifying flow stasis in abdominal aortic aneurysms in men using 4D flow MRI
Magnus Ziegler et al.
MAGNETIC RESONANCE IMAGING (2019)
Fabrication of Low-Cost Patient-Specific Vascular Models for Particle Image Velocimetry
Katrina L. Ruedinger et al.
CARDIOVASCULAR ENGINEERING AND TECHNOLOGY (2019)
Multi-modality cerebral aneurysm haemodynamic analysis: in vivo 4D flow MRI, in vitro volumetric particle velocimetry and in silico computational fluid dynamics
Melissa C. Brindise et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2019)
Analysis of cavopulmonary and cardiac flow characteristics in fontan Patients: Comparison with healthy volunteers
David R. Rutkowski et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Towards the Clinical utility of CFD for assessment of intracranial aneurysm rupture - a systematic review and novel parameter-ranking tool
Li Liang et al.
JOURNAL OF NEUROINTERVENTIONAL SURGERY (2019)
Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging
Tara A. Retson et al.
JOURNAL OF THORACIC IMAGING (2019)
Accuracy of the Flow Velocity and Three-directional Velocity Profile Measured with Three-dimensional Cine Phase-contrast MR Imaging: Verification on Scanners from Different Manufacturers
Tomoya Watanabe et al.
MAGNETIC RESONANCE IN MEDICAL SCIENCES (2019)
Assessment of Reynolds stress components and turbulent pressure loss using 4D flow MRI with extended motion encoding
Henrik Haraldsson et al.
MAGNETIC RESONANCE IN MEDICINE (2018)
Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression
Li Kuo Tan et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)
CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks
Honggang Chen et al.
NEUROCOMPUTING (2018)
Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images
Bettina Baessler et al.
RADIOLOGY (2018)
Poor Correlation, Reproducibility, and Agreement Between Volumetric Versus Linear Epicardial Adipose Tissue Measurement
Hinrich B. Winther et al.
JACC-CARDIOVASCULAR IMAGING (2018)
Surgical planning for living donor liver transplant using 4D flow MRI, computational fluid dynamics and in vitro experiments
David R. Rutkowski et al.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION (2018)
Merging computational fluid dynamics and 4D Flow MRI using proper orthogonal decomposition and ridge regression
Ali Bakhshinejad et al.
JOURNAL OF BIOMECHANICS (2017)
Automatic segmentation of the right ventricle from cardiac MRI using a learning-based approach
Michael R. Avendi et al.
MAGNETIC RESONANCE IN MEDICINE (2017)
Hyperspectral image super-resolution using deep convolutional neural network
Yunsong Li et al.
NEUROCOMPUTING (2017)
Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study
Timothy J. W. Dawes et al.
RADIOLOGY (2017)
Deep Depth Super-Resolution: Learning Depth Super-Resolution Using Deep Convolutional Neural Network
Xibin Song et al.
COMPUTER VISION - ACCV 2016, PT IV (2017)
Image Inpainting and Super-Resolution Using Non-local Recursive Deep Convolutional Network with Skip Connections
Miaofeng Liu
NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017) (2017)
Image Super Resolution using Deep Convolutional Network Based on Topology Aggregation Structure
Fan Yang et al.
GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I (2017)
4D flow MRI assessment of extracranial-intracranial bypass: qualitative and quantitative evaluation of the hemodynamics
Tetsuro Sekine et al.
NEURORADIOLOGY (2016)
Emerging Applications of Abdominal 4D Flow MRI
Alejandro Roldan-Alzate et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2016)
Basic Principles of Hemodynamics and Cerebral Aneurysms
Pablo M. Munarriz et al.
WORLD NEUROSURGERY (2016)
The Effect of Spatial and Temporal Resolution of Cine Phase Contrast MRI on Wall Shear Stress and Oscillatory Shear Index Assessment
Merih Cibis et al.
PLOS ONE (2016)
Computational fluid dynamics simulations of blood flow regularized by 3D phase contrast MRI
Vinicius C. Rispoli et al.
BIOMEDICAL ENGINEERING ONLINE (2015)
The effect of resolution on viscous dissipation measured with 4D flow MRI in patients with Fontan circulation: Evaluation using computational fluid dynamics
Merih Cibis et al.
JOURNAL OF BIOMECHANICS (2015)
Arterial Spin Labeling MRI: Clinical Applications in the Brain
Nicholas A. Telischak et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2015)
4D flow cardiovascular magnetic resonance consensus statement
Petter Dyverfeldt et al.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2015)
Cardiovascular magnetic resonance phase contrast imaging
Krishna S. Nayak et al.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2015)
Reconstruction of divergence-free velocity fields from cine 3D phase-contrast flow measurements
Julia Busch et al.
MAGNETIC RESONANCE IN MEDICINE (2013)
Assessment of the accuracy of MRI wall shear stress estimation using numerical simulations
Sven Petersson et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2012)
4D flow MRI
Michael Markl et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2012)
Emerging Trends in CV Flow Visualization
Partho P. Sengupta et al.
JACC-CARDIOVASCULAR IMAGING (2012)
Improved 3D Phase Contrast MRI With Off-Resonance Corrected Dual Echo VIPR
Kevin M. Johnson et al.
MAGNETIC RESONANCE IN MEDICINE (2008)