[HTML][HTML] Towards non-invasive diagnostic techniques for early detection of acute renal transplant rejection: A review

E Hollis, M Shehata, F Khalifa, M Abou El-Ghar… - The Egyptian Journal of …, 2017 - Elsevier
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 …

Kidney segmentation in renal magnetic resonance imaging-current status and prospects

FG Zöllner, M Kociński, L Hansen, AK Golla… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

[图书][B] Big data in multimodal medical imaging

A El-Baz, JS Suri - 2019 - books.google.com
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 …

Vascular tree segmentation from different image modalities

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: A review

N Eladawi, M Elmogy, M Ghazal, AH Mahmoud… - Diabetes and Fundus …, 2020 - Elsevier
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 …

Current applications and future promises of machine learning in diffusion MRI

D Ravi, N Ghavami, DC Alexander, A Ianus - Computational Diffusion MRI …, 2019 - Springer
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 …

A novel CAD system for detecting acute rejection of renal allografts based on integrating imaging-markers and laboratory biomarkers

M Shehata, M Ghazal, F Khalifa… - … on Imaging Systems …, 2018 - ieeexplore.ieee.org
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 …

An accurate deep learning-based computer-aided diagnosis system for early diagnosis of prostate cancer

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 …

Role of integrating diffusion MR image-markers with clinical-biomarkers for early assessment of renal transplants

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 …

Early assessment of acute renal rejection post-transplantation: a combined imaging and clinical biomarkers protocol

M Shehata, F Taher, M Ghazal… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
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 …