This is largely due to their unique attributes
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Quantification of Hemosiderin Deposition in Hemophilic Arthropathy Using Ultrashort Echo Time Quantitative Susceptibility Mapping (UTE-QSM) Quantitative Ultrashort Echo-Time MRI to Assess In Vivo Rotator Cuff Tendon Degeneration Robust assessment of macromolecular fraction in muscle with differing fat fraction using ultrashort echo time magnetization transfer modeling Ultrashort Echo Time Magnetization Transfer Imaging of Knee Cartilage After Long-Distance Running Feasibility of detecting subvoxel deformation in intervertebral disc using quantitative ultrashort echo time (UTE) techniques Progress toward a ZTE-based silent and motion-robust protocol for pediatric neuroimaging Density-Controllable Spiral Trajectory Design Combined with CS-UTE Improves High-Resolution Single Breath-Hold Lung Imaging Multi-Echo FLORET UTE MRI Assessing the clinical value of PETRA sequence for detection of subsolid pulmonary nodules:comparison with CT Myelin Content Imaging Using Ultra-Short TE MRI with Variable Flip Angles Validation of open-source minimal TE sequences across three independent sites Data-driven clustering for ECG-free cine MRI with robustness against irregular cardiac motion A Data Augmentation Framework to Improve R-peak Detection in ECG Recorded in MRI Scanners CNNT denoising for cine imaging at 0.55T with higher acceleration rates Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry Improved T1, T2 and PDFF mapping with rosette MRF using virtual-coil + low-rank + patch-based regularization Cardiac Magnetic Resonance Feature Tracking for Detection of Acute Cardiac Allograft Rejection after Heart Transplantation Deep-learning-based super-resolution technique for cine cardiac magnetic resonance Detection of Congenital Heart Disease in MR images using Machine Learning Novel Reconstruction Method to Improve the Sharpness of Free Breathing Cardiac MR Late Gadolinium Enhancement Images on a Commercial 0.55T System Deep Learning-Based Reconstruction of Accelerated Cardiac Cine MRI at 0.55T "ShortCardiac" - an open-source tool for assessing cardiac function quickly DeepCardioPlanner: Deep Learning-based tool for automatic CMR planning Assessment of cardiac function using free-breathing, motion corrected artificial intelligence cine: comparison with conventional cine 2D U-Net for left heart segmentation for CINE sequences, deal with new target data: comparison of 3 approaches Unsupervised deep learning with variational autoencoder for image quality improvement in ultrafast cardiac cine MRI: Initial results Cine MRI reconstructed from 3T contrast-enhanced free-running 5D coronary MRA: comparison to standard 2D cine MRI Evaluation of image quality and global cardiac function for deep learning accelerated cardiac Cine Blind Source Separation Improves the Precision and Robustness of Self-Gated Motion Extraction in Free-Running 4D Whole-Heart MRI A feasibility study of deep learning cardiac cine comparing image quality and volumetry with the conventional ASSET cine Reconstruction of Dynamic MRI Tensor Data Using Frequency Low-rank and Sparsity Prior Vibration Exposure in Brain MR Elastography The impact of multiple sclerosis on cortical brain stiffness
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