Search Results - "Khalifa, Fahmi"
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A pyramidal deep learning pipeline for kidney whole-slide histology images classification
Published in Scientific reports (12-10-2021)“…Renal cell carcinoma is the most common type of kidney cancer. There are several subtypes of renal cell carcinoma with distinct clinicopathologic features…”
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Models and methods for analyzing DCE‐MRI: A review
Published in Medical physics (Lancaster) (01-12-2014)“…Purpose: To present a review of most commonly used techniques to analyze dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their…”
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A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction
Published in Scientific reports (11-04-2019)“…This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive…”
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A novel image encryption/decryption scheme based on integrating multiple chaotic maps
Published in AIP advances (01-07-2020)“…In this paper, a novel framework is presented for chaotic image encryption. The proposed method is based on integrating multiple chaotic maps (e.g., logistic,…”
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An MRI-based deep learning approach for accurate detection of Alzheimer’s disease
Published in Alexandria engineering journal (15-01-2023)“…Alzheimer’s disease (AD) is the most prevalent type of dementia of the nervous system that causes many brain functions to weaken (eg, memory loss)…”
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Accurate Lungs Segmentation on CT Chest Images by Adaptive Appearance-Guided Shape Modeling
Published in IEEE transactions on medical imaging (01-01-2017)“…To accurately segment pathological and healthy lungs for reliable computer-aided disease diagnostics, a stack of chest CT scans is modeled as a sample of a…”
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A Chaotic-Based Encryption/Decryption Framework for Secure Multimedia Communications
Published in Entropy (Basel, Switzerland) (04-11-2020)“…Chaos-based encryption has shown an increasingly important and dominant role in modern multimedia cryptography compared with traditional algorithms. This work…”
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Author Correction: A pyramidal deep learning pipeline for kidney whole-slide histology images classification
Published in Scientific reports (02-11-2021)Get full text
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Novel MRI-Based CAD System for Early Detection of Thyroid Cancer Using Multi-Input CNN
Published in Sensors (Basel, Switzerland) (04-06-2021)“…Early detection of thyroid nodules can greatly contribute to the prediction of cancer burdening and the steering of personalized management. We propose a novel…”
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A New Image Encryption Scheme Based on Hybrid Chaotic Maps
Published in Complexity (New York, N.Y.) (2020)“…Chaos-based encryption algorithms offer many advantages over conventional cryptographic algorithms, such as speed, high security, affordable overheads for…”
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Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques
Published in Sensors (Basel, Switzerland) (18-03-2022)“…Diabetic retinopathy (DR) refers to the ophthalmological complications of diabetes mellitus. It is primarily a disease of the retinal vasculature that can lead…”
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Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling
Published in Scientific reports (05-11-2022)“…Early diagnosis of transplanted kidney function requires precise Kidney segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a…”
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3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary
Published in PloS one (13-07-2018)“…A new technique for more accurate automatic segmentation of the kidney from its surrounding abdominal structures in diffusion-weighted magnetic resonance…”
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The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey
Published in Sensors (Basel, Switzerland) (01-05-2022)“…Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the retinal microvasculature. It is a leading cause of retinal blindness…”
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Thoracolumbar epidural stimulation effects on bladder and bowel function in uninjured and chronic transected anesthetized rats
Published in Scientific reports (08-02-2022)“…Pre-clinical studies have shown that spinal cord epidural stimulation (scES) at the level of pelvic and pudendal nerve inputs/outputs (L5-S1) alters storage…”
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Editorial: Artificial intelligence based computer-aided diagnosis applications for brain disorders from medical imaging data
Published in Frontiers in neuroscience (31-01-2023)Get full text
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Bladder and bowel responses to lumbosacral epidural stimulation in uninjured and transected anesthetized rats
Published in Scientific reports (08-02-2021)“…Spinal cord epidural stimulation (scES) mapping at L5-S1 was performed to identify parameters for bladder and bowel inhibition and/or contraction. Using…”
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Editorial: Artificial intelligence-based computer-aided diagnosis applications for brain disorders from medical imaging data, volume II
Published in Frontiers in neuroscience (12-07-2023)Get full text
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Multi-Model Fusion of CNNs for Identification of Parkinson's Disease Using Handwritten Samples
Published in IEEE access (2023)“…When approximately seventy percent of dopamine-producing nerve cells cease to function normally, the symptoms of Parkinson's disease (PD) manifest, marking an…”
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Editorial: Emerging artificial intelligence technologies for neurological and neuropsychiatric research
Published in Frontiers in neuroscience (14-11-2024)Get full text
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