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05/03/2022
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction
Non-Cartesian sampling with subspace-constrained image reconstruction is...
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06/23/2020
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
Cine cardiac magnetic resonance imaging (MRI) is widely used for diagnos...
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03/02/2020
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
High-resolution (HR) magnetic resonance imaging (MRI) provides detailed ...
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12/23/2019
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
Segmentation of multiple organs-at-risk (OARs) is essential for radiatio...
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10/02/2019
Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking
High spatiotemporal resolution dynamic magnetic resonance imaging (MRI) ...
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03/04/2018
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
High-resolution (HR) magnetic resonance images (MRI) provide detailed an...
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02/20/2018
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network
Coronary calcium causes beam hardening and blooming artifacts on cardiac...
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01/08/2018
