A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging

P Peng, K Lekadir, A Gooya, L Shao… - … Resonance Materials in …, 2016 - Springer
Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …

Alzheimer's disease diagnostics by adaptation of 3D convolutional network

E Hosseini-Asl, R Keynton… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
Early diagnosis, playing an important role in preventing progress and treating the
Alzheimer's disease (AD), is based on classification of features extracted from brain images …

[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 …

A computer‐aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images

A ElTanboly, M Ismail, A Shalaby, A Switala… - Medical …, 2017 - Wiley Online Library
Purpose Detection (diagnosis) of diabetic retinopathy (DR) in optical coherence tomography
(OCT) images for patients with type 2 diabetes, but almost clinically normal retina …

Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images

A Sharafeldeen, M Elsharkawy, F Khalifa, A Soliman… - Scientific Reports, 2021 - nature.com
This study proposes a novel computer assisted diagnostic (CAD) system for early diagnosis
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …

A clinically explainable AI-based grading system for age-related macular degeneration using optical coherence tomography

M Elsharkawy, A Sharafeldeen, F Khalifa… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
We propose an automated, explainable artificial intelligence (xAI) system for age-related
macular degeneration (AMD) diagnosis. Mimicking the physician's perceptions, the …

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 …

[KNIHA][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 …

Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models

H Sliman, F Khalifa, A Elnakib, A Soliman… - Medical …, 2013 - Wiley Online Library
Purpose: The authors propose 3D (2D+ time) novel, fast, robust, bidirectional coupled
parametric deformable models that are capable of segmenting left ventricle (LV) wall …

An iso-surfaces based local deformation handling framework of lung tissues

A Soliman, F Khalifa, N Dunlap, B Wang… - 2016 IEEE 13th …, 2016 - ieeexplore.ieee.org
Handling the deformations of the lung tissues in successive chest computed tomography
(CT) scans of a patient is a vital step in any computer-aided diagnostic (CAD) system for …