Fahmi Khalifa
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View article: AI/ML-Assisted Detection of HMGA2 RNA Isoforms in Prostate Cancer Patient Tissue
AI/ML-Assisted Detection of HMGA2 RNA Isoforms in Prostate Cancer Patient Tissue Open
RNA In Situ Hybridization (RISH) is a powerful tool for spatial gene expression analysis, yet its quantitative use remains limited by the high cost and inaccessibility of commercial software, particularly in under-resourced settings. This …
View article: An Empirical Evaluation of Low-Rank Adapted Vision–Language Models for Radiology Image Captioning
An Empirical Evaluation of Low-Rank Adapted Vision–Language Models for Radiology Image Captioning Open
Rapidly growing medical imaging volumes have increased radiologist workloads, creating demand for automated tools that support interpretation and reduce reporting delays. Vision-language models (VLMs) can generate clinically relevant capti…
View article: Screening with the Bilateral Corneal Symmetry 3-D Analyzer
Screening with the Bilateral Corneal Symmetry 3-D Analyzer Open
This study aimed to evaluate the effectiveness of an innovative platform (the Bilateral Corneal Symmetry 3-D Analyzer—BiCSA) and a novel corneal symmetry index (the Volume Between Spheres—VBS) in differentiating normal corneas from those w…
View article: Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer’s Disease Detection
Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer’s Disease Detection Open
With the advancements in deep learning methods, AI systems now perform at the same or higher level than human intelligence in many complex real-world problems. The data and algorithmic opacity of deep learning models, however, make the tas…
View article: Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation
Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation Open
The lack of extensive, varied, and thoroughly annotated datasets impedes the advancement of artificial intelligence (AI) for medical applications, especially colorectal cancer detection. Models trained with limited diversity often display …
View article: Screening with the Bilateral Corneal Symmetry 3-D Analyzer
Screening with the Bilateral Corneal Symmetry 3-D Analyzer Open
This study aimed to evaluate the effectiveness of an innovative platform (the Bilateral Corneal Symmetry 3-D Analyzer - BiCSA) and a novel corneal symmetry index (the Volume Between Spheres – VBS) in differentiating normal corneas from tho…
View article: An optimized ensemble grey wolf-based pipeline for monkeypox diagnosis
An optimized ensemble grey wolf-based pipeline for monkeypox diagnosis Open
As the world recovered from the coronavirus, the emergence of the monkeypox virus signaled a potential new pandemic, highlighting the need for faster and more efficient diagnostic methods. This study introduces a hybrid architecture for au…
View article: Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation
Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation Open
The lack of extensive, varied, and thoroughly annotated datasets impedes the advancement of Artificial Intelligence (AI) for medical applications, specially colorectal cancer detection. Models trained with limited diversity often display b…
View article: A Multimodal Adaptive Inter-Region Attention-Guided Network for Brain Tumor Classification
A Multimodal Adaptive Inter-Region Attention-Guided Network for Brain Tumor Classification Open
Accurate brain tumor classification is critical for ensuring timely and effective medical interventions. In recent years, artificial intelligence (AI)-driven diagnostic systems have emerged as transformative tools that optimize the classif…
View article: A Hybrid Learning-Architecture for Improved Brain Tumor Recognition
A Hybrid Learning-Architecture for Improved Brain Tumor Recognition Open
The accurate classification of brain tumors is an important step for early intervention. Artificial intelligence (AI)-based diagnostic systems have been utilized in recent years to help automate the process and provide more objective and f…
View article: Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer
Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer Open
Accurately predicting the impact of hormonal therapy on Prostate Cancer (PC) lesions is paramount for effective treatment planning and monitoring. This study proposes a comprehensive framework, termed Multimodal Hormonal Therapy Response P…
View article: A Hybrid Learning-Architecture for Mental Disorder Detection Using Emotion Recognition
A Hybrid Learning-Architecture for Mental Disorder Detection Using Emotion Recognition Open
Mental illness has grown to become a prevalent and global health concern that affects individuals across various demographics. Timely detection and accurate diagnosis of mental disorders are crucial for effective treatment and support as l…
View article: Multi-Stage Classification of Retinal OCT Using Multi-Scale Ensemble Deep Architecture
Multi-Stage Classification of Retinal OCT Using Multi-Scale Ensemble Deep Architecture Open
Accurate noninvasive diagnosis of retinal disorders is required for appropriate treatment or precision medicine. This work proposes a multi-stage classification network built on a multi-scale (pyramidal) feature ensemble architecture for r…
View article: Multi-Model Fusion of CNNs for Identification of Parkinson’s Disease Using Handwritten Samples
Multi-Model Fusion of CNNs for Identification of Parkinson’s Disease Using Handwritten Samples Open
When approximately seventy percent of dopamine-producing nerve cells cease to function normally, the symptoms of Parkinson’s disease (PD) manifest, marking an irreversible decline in nerve cell health. In clinical settings, neurologists as…
View article: Multi-Stage Classification-Based Deep Learning for Gleason System Grading Using Histopathological Images
Multi-Stage Classification-Based Deep Learning for Gleason System Grading Using Histopathological Images Open
In this work, we introduced an automated diagnostic system for Gleason system grading and grade groups (GG) classification using whole slide images (WSIs) of digitized prostate biopsy specimens (PBSs). Our system first classifies the Gleas…
View article: Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling
Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling Open
Early diagnosis of transplanted kidney function requires precise Kidney segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a preliminary step. In this regard, this paper aims to propose an automated and accura…
View article: Predicting the Level of Respiratory Support in COVID-19 Patients Using Machine Learning
Predicting the Level of Respiratory Support in COVID-19 Patients Using Machine Learning Open
In this paper, a machine learning-based system for the prediction of the required level of respiratory support in COVID-19 patients is proposed. The level of respiratory support is divided into three classes: class 0 which refers to minima…
View article: A deep learning based system for accurate diagnosis of brain tumors using T1-w MRI
A deep learning based system for accurate diagnosis of brain tumors using T1-w MRI Open
Detection and classification of brain tumors are of formidable importance in neuroscience. Deep learning (DL), specifically convolution neural networks (CNN), has demonstrated breakthroughs in the field of brain image analysis and brain tu…
View article: Biomimetic cardiac tissue culture model (CTCM) to emulate cardiac physiology and pathophysiology ex vivo
Biomimetic cardiac tissue culture model (CTCM) to emulate cardiac physiology and pathophysiology ex vivo Open
There is need for a reliable in vitro system that can accurately replicate the cardiac physiological environment for drug testing. The limited availability of human heart tissue culture systems has led to inaccurate interpretations of card…
View article: Real-Time Facial Expression Recognition and Speech Tran-scripts over an on-premise Video Conference Application
Real-Time Facial Expression Recognition and Speech Tran-scripts over an on-premise Video Conference Application Open
Since Covid-19 pandemic outbreak, organizations and individuals have had to use video conference applications increasingly.However, the commercial video conference applications are expensive, and feature limited.This paper discusses how to…
View article: A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features
A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features Open
Diabetic retinopathy (DR) is a major public health problem and the leading cause of vision loss in the working age population. This paper presents a novel deep learning system for the detection and diagnosis of DR using optical coherence t…
View article: An MRI-based deep learning approach for accurate detection of Alzheimer’s disease
An MRI-based deep learning approach for accurate detection of Alzheimer’s disease Open
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). Non-invasive early diagnosis of AD has attracted a lot of research attention nowadays as ea…
View article: The Role of Medical Image Modalities and AI in the Early Detection, Diagnosis and Grading of Retinal Diseases: A Survey
The Role of Medical Image Modalities and AI in the Early Detection, Diagnosis and Grading of Retinal Diseases: A Survey Open
Traditional dilated ophthalmoscopy can reveal diseases, such as age-related macular degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), retinal tear, epiretinal membrane, macular hole, retinal detachment, retinitis…
View article: The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey
The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey Open
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes. Long periods of uncontrolled blood sugar levels result …
View article: Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques
Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques Open
Diabetic retinopathy (DR) refers to the ophthalmological complications of diabetes mellitus. It is primarily a disease of the retinal vasculature that can lead to vision loss. Optical coherence tomography angiography (OCTA) demonstrates th…