Magnetic resonance imaging has achieved an increasingly important role in the clinical work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …
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 …
A Mahmoud, A Shalaby, F Taher, M El-Baz… - … Imaging and Image …, 2018 - taylorfrancis.com
A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model that requires no fine tuning of parameters. A …
Optical coherence tomography (OCT) is a noninvasive imaging technique that has been used increasingly to diagnose and manage a variety of retinal diseases. OCT enables …
Abstract Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) explores the random motion of diffusing water molecules in biological tissue and can provide information on the …
The goal of this paper is to determine the parameters that are correlated with the biopsy diagnosis of acute renal rejection (AR) post-transplantation, using laboratory biomarkers …
IR Abdelmaksoud, A Shalaby, M Ghazal… - State of the Art in Neural …, 2023 - Elsevier
This chapter introduces a system for early diagnosis of prostate cancer using a convolutional neural network (CNN) from diffusion-weighted imaging (DWI) acquired at seven b-values …
M Shehata, M Ghazal, G Beache… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
Recently, diffusion-weighted magnetic resonance imaging (DW-MRI) has been explored for non-invasive assessment of renal transplant functions. In this paper, a computer-aided …
Non-invasive evaluation of renal transplant function is crucial. Hence, a computer-assisted diagnostic (CAD) system is introduced in this paper to evaluate kidney function post …