Deep learning methods for blood flow reconstruction in a vessel with contrast enhanced x‐ray computed tomography

Three-dimensional deep learning-based reduced order model for unsteady flow dynamics with variable Reynolds number

(2022) Rachit Gupta et al.   PHYSICS OF FLUIDS

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology

(2022) Riccardo Tenderini et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

POD method for acceleration of blood flow reconstruction in a vessel with contrast enhanced X-ray CT

(2022) S. Huang et al.   Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization

Reconstruction of vascular blood flow in a vessel from tomographic projections

(2021) S Huang et al.   Biomedical Physics & Engineering Express

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Robust cerebrovascular blood velocity and flow rate estimation from 4D‐ CTA

(2019) Pierre Bouillot et al.   MEDICAL PHYSICS

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

(2019) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Solving inverse problems using data-driven models

(2019) Simon Arridge et al.   ACTA NUMERICA

Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks

(2019) Nicholas Geneva et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

(2019) Kookjin Lee et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A Review of the Autoencoder and Its Variants: A Comparative Perspective from Target Recognition in Synthetic-Aperture Radar Images

(2018) Ganggang Dong et al.   IEEE Geoscience and Remote Sensing Magazine

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications

(2017) A. Quarteroni et al.   ACTA NUMERICA

Advanced flow MRI: emerging techniques and applications

(2016) M. Markl et al.   CLINICAL RADIOLOGY

Contrast Gradient-Based Blood Velocimetry With Computed Tomography

(2016) Johannes G. Korporaal et al.   INVESTIGATIVE RADIOLOGY

Quantifying errors in flow measurement using phase contrast magnetic resonance imaging: comparison of several boundary detection methods

(2015) Jing Jiang et al.   MAGNETIC RESONANCE IMAGING

Cerebrovascular MRI: a review of state-of-the-art approaches, methods and techniques

(2015) Matthew Ethan MacDonald et al.   NMR IN BIOMEDICINE

Intra-vascular blood velocity and volumetric flow rate calculated from dynamic 4D CT angiography using a time of flight technique

(2014) Joseph John Barfett et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

‘Go with the flow’: A review of methods and advancements in blood flow imaging

(2012) Susan M. Daly et al.   Journal of Biophotonics

CT Angiographic Measurement of Vascular Blood Flow Velocity by Using Projection Data

(2011) Sven Prevrhal et al.   RADIOLOGY

Fluid–structure interaction simulation of aortic blood flow

(2010) Paolo Crosetto et al.   COMPUTERS & FLUIDS