Fahmi Khalifa

Assistant Professor

Morgan State University

United States

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About

Fahmi Khalifa is an Assistant Professor at Morgan State University in the United States. His research focuses on artificial intelligence applications in medical diagnostics, including diabetic foot ulcers, breast cancer management, and Alzheimer's disease detection. He has contributed to multiple articles on topics such as enhanced image classification for colonoscopy and the development of explainable AI systems for various medical conditions.

Articles (20)

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2026

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2025

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2022

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2022

Collaborators (11)

Allen Eghrari

Associate Professor

Johns Hopkins Medicine Wilmer Eye Institute

UNITED STATES

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Md Rahman

Morgan State University

UNITED STATES

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Timothy Meeker

Assistant Professor

Morgan State University

UNITED STATES

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Opeyemi Adeniran

Morgan State University

UNITED STATES

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Mohammed Ghazal

University of Louisville

UNITED STATES

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Imran Razzak

Senior Lecturer in Human-Centered Machine Learning

UNSW Sydney

AUSTRALIA

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Shiva Mehravaran

Research Associate Professor

Morgan State University

UNITED STATES

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Mohamed Reda Bouadjenek

Lecturer (Assistant Professor)

Deakin University

AUSTRALIA

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Abiola Olayinka AJALA

Morgan State University

UNITED STATES

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Ayman El-Baz

University of Louisville

UNITED STATES

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Blessing Ojeme

Assistant Professor

Morgan State University

UNITED STATES

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Fahmi Khalifa

Research Interests

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Articles (20)

Multi-resolution multi-path shallow deep network for Diabetic Foot Ulcers identification

Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer’s Disease Detection

Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation

The role of AI for improved management of breast cancer: Enhanced diagnosis and health disparity mitigation

Screening with the Bilateral Corneal Symmetry 3-D Analyzer

An optimized ensemble grey wolf-based pipeline for monkeypox diagnosis

A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography

A Hybrid Learning-Architecture for Improved Brain Tumor Recognition

A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs

Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges

Multi-Stage Classification of Retinal OCT Using Multi-Scale Ensemble Deep Architecture

Multi-Stage Classification-Based Deep Learning for Gleason System Grading Using Histopathological Images

A deep learning based system for accurate diagnosis of brain tumors using T1-w MRI

Predicting the Level of Respiratory Support in COVID-19 Patients Using Machine Learning

Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data

A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features

The Role of Medical Image Modalities and AI in the Early Detection, Diagnosis and Grading of Retinal Diseases: A Survey

The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey

Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques

Multi-Classification of Chest X-rays for COVID-19 Diagnosis Using Deep Learning Algorithms

Collaborators (11)

Allen Eghrari

Md Rahman

Timothy Meeker

Opeyemi Adeniran

Mohammed Ghazal

Imran Razzak

Shiva Mehravaran

Mohamed Reda Bouadjenek

Abiola Olayinka AJALA

Ayman El-Baz

Blessing Ojeme

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