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MR assessed changes of renal sinus fat in response to glucose regulation in West European and South Asian patients with type 2 diabetes
Head-to-head comparison of T1 mapping and electroanatomical voltage mapping in patients with ventricular arrhythmias
Effect of glucose regulation on renal parenchyma and sinus fat volume in patients with type 2 diabetes
Fully automated 3D vestibular schwannoma segmentation with and without gadolinium-based contrast material
Using multi-parametric quantitative MRI to screen for cardiac involvement in patients with idiopathic inflammatory myopathy
Multielectrode unipolar voltage mapping and electrogram morphology to identify post-infarct scar geometry
Deep recursive embedding for high-dimensional data
Myocardial extracellular volume fraction quantification based on T1 mapping at 3 T: quality optimization by contour-based registration and segmental analysis
Renal sinus fat volume in type 2 diabetes mellitus is associated with glycated hemoglobin and metabolic risk factors
Identification of cardiovascular abnormalities by multiparametric magnetic resonance imaging in end-stage renal disease patients with preserved left ventricular ejection fraction
Mini-, micro-, and conventional electrodes an in vivo electrophysiology and ex vivo histology head-to-head comparison
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Cardiac involvement in patients recovered from COVID-2019 identified using magnetic resonance imaging
Novel artificial neural network and linear regression based equation for estimating visceral adipose tissue volume
RV tissue heterogeneity on CT a novel tool to identify the VT substrate in ARVC
Nuclear medicine radiomics in precision medicine: why we can't do without artificial intelligence
Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China
Temporally coherent cardiac motion tracking from cine MRI
Pressure-flow curve derived from coronary CT angiography for detection of significant hemodynamic stenosis
Whole heart histology a method for the direct integration of histology with electrophysiological and imaging data
Deep learning for quantitative cardiac MRI
The challenge of automated analysis of myocardial perfusion MRI: is it ready for prime time?
Edge-Guided Output Adaptor: Highly Efficient Adaptation Module for Cross-Vendor Medical Image Segmentation
Cine MRI analysis by deep learning of optical flow: Adding the temporal dimension
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