Daming Shen
YOU?
Author Swipe
View article: ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI
ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI Open
Background: Late Gadolinium Enhancement (LGE) imaging is the gold standard for assessing myocardial fibrosis and scarring, with left ventricular (LV) LGE extent predicting major adverse cardiac events (MACE). Despite its importance, routin…
View article: ScarNet: a novel foundation model for automated myocardial scar quantification from late gadolinium-enhancement images
ScarNet: a novel foundation model for automated myocardial scar quantification from late gadolinium-enhancement images Open
ScarNet outperformed MedSAM and nnU-Net for predicting myocardial and scar boundaries in LGE images of patients with ischemic cardiomyopathy. The Monte Carlo simulations demonstrated that ScarNet is less sensitive to noise perturbations th…
View article: Incorporation of view sharing and KWIC filtering into GRASP‐Pro improves spatial resolution of single‐shot, multi‐TI, late gadolinium enhancement MRI
Incorporation of view sharing and KWIC filtering into GRASP‐Pro improves spatial resolution of single‐shot, multi‐TI, late gadolinium enhancement MRI Open
While single‐shot late gadolinium enhancement (LGE) is useful for imaging patients with arrhythmia and/or dyspnea, it produces low spatial resolution. One approach to improve spatial resolution is to accelerate data acquisition using compr…
View article: Automated segmentation of biventricular contours in tissue phase mapping using deep learning
Automated segmentation of biventricular contours in tissue phase mapping using deep learning Open
Tissue phase mapping (TPM) is an MRI technique for quantification of regional biventricular myocardial velocities. Despite its potential, clinical use is limited due to the requisite labor‐intensive manual segmentation of cardiac contours …
View article: 2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network Open
Computed tomography is widely used to examine internal structures in a non-destructive manner. To obtain high-quality reconstructions, one typically has to acquire a densely sampled trajectory to avoid angular undersampling. However, many …
View article: Rapid reconstruction of highly undersampled, non‐Cartesian real‐time cine <i>k</i>‐space data using a perceptual complex neural network (PCNN)
Rapid reconstruction of highly undersampled, non‐Cartesian real‐time cine <i>k</i>‐space data using a perceptual complex neural network (PCNN) Open
Highly accelerated real‐time cine MRI using compressed sensing (CS) is a promising approach to achieve high spatio‐temporal resolution and clinically acceptable image quality in patients with arrhythmia and/or dyspnea. However, its lengthy…
View article: Rapid Reconstruction of Four-dimensional MR Angiography of the Thoracic Aorta Using a Convolutional Neural Network
Rapid Reconstruction of Four-dimensional MR Angiography of the Thoracic Aorta Using a Convolutional Neural Network Open
The proposed integrated reconstruction pipeline including a CNN architecture is capable of rapidly reconstructing time-resolved volumetric cardiovascular MRI k-space data, without a significant loss in data quality, thereby supporting clin…
View article: Highly accelerated, real‐time phase‐contrast MRI using radial <i>k</i>‐space sampling and GROG‐GRASP reconstruction: a feasibility study in pediatric patients with congenital heart disease
Highly accelerated, real‐time phase‐contrast MRI using radial <i>k</i>‐space sampling and GROG‐GRASP reconstruction: a feasibility study in pediatric patients with congenital heart disease Open
Retrospective electrocardiogram‐gated, 2D phase‐contrast (PC) flow MRI is routinely used in clinical evaluation of valvular/vascular disease in pediatric patients with congenital heart disease (CHD). In patients not requiring general anest…
View article: Rapid dealiasing of undersampled, non‐Cartesian cardiac perfusion images using U‐net
Rapid dealiasing of undersampled, non‐Cartesian cardiac perfusion images using U‐net Open
Compressed sensing (CS) is a promising method for accelerating cardiac perfusion MRI to achieve clinically acceptable image quality with high spatial resolution (1.6 × 1.6 × 8 mm 3 ) and extensive myocardial coverage (6–8 slices per heartb…