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Models and methods for analyzing DCE‐MRI: A review
Purpose: To present a review of most commonly used techniques to analyze dynamic
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …
[HTML][HTML] Towards non-invasive diagnostic techniques for early detection of acute renal transplant rejection: A review
The kidney is a very important complicated filtering organ of the body. When the kidney
reaches stage 5 chronic kidney disease, end stage renal failure, the preeminent therapy is …
reaches stage 5 chronic kidney disease, end stage renal failure, the preeminent therapy is …
Accurate automatic analysis of cardiac cine images
F Khalifa, GM Beache, G Gimelrfarb… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
Acquisition of noncontrast agent cine cardiac magnetic resonance (CMR) gated images
through the cardiac cycle is, at present, a well-established part of examining cardiac global …
through the cardiac cycle is, at present, a well-established part of examining cardiac global …
Dynamic contrast-enhanced MRI-based early detection of acute renal transplant rejection
F Khalifa, GM Beache, M Abou El-Ghar… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
A novel framework for the classification of acute rejection versus nonrejection status of renal
transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed …
transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed …
A comprehensive non‐invasive framework for automated evaluation of acute renal transplant rejection using DCE‐MRI
The objective was to develop a novel and automated comprehensive framework for the non‐
invasive identification and classification of kidney non‐rejection and acute rejection …
invasive identification and classification of kidney non‐rejection and acute rejection …
[KNIHA][B] Big data in multimodal medical imaging
There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …
and computational models with the ability to analyze Big Data in order to retrieve useful …
Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models
Purpose: The authors propose 3D (2D+ time) novel, fast, robust, bidirectional coupled
parametric deformable models that are capable of segmenting left ventricle (LV) wall …
parametric deformable models that are capable of segmenting left ventricle (LV) wall …
Assessment of kidney volumes from MRI: acquisition and segmentation techniques
FG Zöllner, E Svarstad, AZ Munthe-Kaas… - American Journal of …, 2012 - ajronline.org
OBJECTIVE. The prevalence of chronic kidney disease (CKD) is increasing worldwide. In
Europe alone, at least 8% of the population currently has some degree of CKD. CKD is …
Europe alone, at least 8% of the population currently has some degree of CKD. CKD is …
A novel 4D PDE-based approach for accurate assessment of myocardium function using cine cardiac magnetic resonance images
A novel framework for assessing wall thickening from 4D cine cardiac magnetic resonance
imaging (CMRI) is proposed. The proposed approach is primarily based on using …
imaging (CMRI) is proposed. The proposed approach is primarily based on using …