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12/16/2022
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
In this work, we propose a novel image reconstruction framework that dir...
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05/02/2022
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
Cine cardiac magnetic resonance (CMR) imaging is considered the gold sta...
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09/16/2021
Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data
Cine cardiac MRI is routinely acquired for the assessment of cardiac hea...
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07/19/2021
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging
Physiological motion, such as cardiac and respiratory motion, during Mag...
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12/02/2020
Channel Attention Networks for Robust MR Fingerprinting Matching
Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of ...
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10/11/2019
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
Segmenting anatomical structures in medical images has been successfully...
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10/11/2019
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentatio
Segmenting anatomical structures in medical images has been successfully...
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06/12/2019
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space
In fully sampled cardiac MR (CMR) acquisitions, motion can lead to corru...
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12/19/2018
Magnetic Resonance Fingerprinting using Recurrent Neural Networks
Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitativ...
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10/29/2018
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
Good quality of medical images is a prerequisite for the success of subs...
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08/15/2018
