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02/06/2023
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal
The k-space data generated from magnetic resonance imaging (MRI) is only...
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01/21/2023
Dynamic MLP for MRI Reconstruction
As convolutional neural networks (CNN) become the most successful recons...
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01/03/2023
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction
Dynamic Magnetic Resonance Imaging (dMRI) is widely used to assess vario...
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10/22/2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI
Multi-contrast Magnetic Resonance Imaging (MRI) generates multiple medic...
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07/20/2022
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging
Magnetic Resonance Spectroscopic Imaging (MRSI) is an essential tool for...
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07/20/2022
Robust Landmark-based Stent Tracking in X-ray Fluoroscopy
In clinical procedures of angioplasty (i.e., open clogged coronary arter...
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06/06/2022
Invertible Sharpening Network for MRI Reconstruction Enhancement
High-quality MRI reconstruction plays a critical role in clinical applic...
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06/16/2021
Multi-scale Neural ODEs for 3D Medical Image Registration
Image registration plays an important role in medical image analysis. Co...
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05/17/2021
Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning
Multi-contrast MRI images provide complementary contrast information abo...
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05/17/2021
Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction
Retrospectively gated cine (retro-cine) MRI is the clinical standard for...
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08/25/2020
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks
Accurate estimation of shape thickness from medical images is crucial in...
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08/12/2020
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network
Real-time cardiac cine MRI does not require ECG gating in the data acqui...
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06/28/2020
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
Cardiac motion estimation plays a key role in MRI cardiac feature tracki...
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06/24/2020
MRI Image Reconstruction via Learning Optimization using Neural ODEs
We propose to formulate MRI image reconstruction as an optimization prob...
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03/10/2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Motion estimation of cardiac MRI videos is crucial for the evaluation of...
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12/02/2019
Pyramid Convolutional RNN for MRI Reconstruction
Fast and accurate MRI image reconstruction from undersampled data is cri...
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02/27/2017
