Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease

Author:

Hauptmann Andreas1,Arridge Simon1,Lucka Felix12,Muthurangu Vivek3,Steeden Jennifer A.3

Affiliation:

1. Department of Computer Science University College London London United Kingdom

2. Computational Imaging Centrum Wiskunde and Informatica (CWI) Amsterdam Netherlands

3. UCL Centre for Cardiovascular Imaging University College London London United Kingdom

Funder

Royal Society

H2020 LEIT Information and Communication Technologies

Engineering and Physical Sciences Research Council

Stichting voor de Technische Wetenschappen

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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1. Predictive uncertainty in deep learning–based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set;Magnetic Resonance in Medicine;2024-01-28

2. Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network;Computers in Biology and Medicine;2024-01

3. NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps;Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers;2024

4. Deep learning for medical image reconstruction;Deep Learning for Medical Image Analysis;2024

5. Artificial intelligence in adult congenital heart disease;Intelligence-Based Cardiology and Cardiac Surgery;2024

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