2026 Fahmi Khalifa: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10903	10598	4533	4343	149	4828

Overview

Fahmi Khalifa is affiliated with Morgan State University in the United States and has made contributions primarily in the fields of Medicine and Computer Science. Their research extensively covers subfields such as Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Ophthalmology.

Their work spans numerous topics, notably Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, and Retinal Imaging and Analysis. Other key topics include Advanced Neural Network Applications, Brain Tumor Detection and Classification, as well as Chaos-based Image/Signal Encryption and Cryptographic Implementations and Security.

Fahmi Khalifa has published research in several venues. The most frequent publication outlets include:

Scientific Reports
IEEE Access
Sensors
Bioengineering
Algorithms

Collaboration is an important aspect of their research profile, with frequent co-authors including:

Ayman El-Baz
Mohammed Ghazal
Hisham Abdeltawab
Harpal S. Sandhu
Ahmed Elnakib

Among their notable recent papers are:

"An MRI-based deep learning approach for accurate detection of Alzheimer's disease," 2022, Alexandria Engineering Journal
"A New Image Encryption Scheme Based on Hybrid Chaotic Maps," 2020, Complexity
"A Chaotic-Based Encryption/Decryption Framework for Secure Multimedia Communications," 2020, Entropy
"A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images," 2020, Computerized Medical Imaging and Graphics
"A Robust Chaos-Based Technique for Medical Image Encryption," 2021, IEEE Access

Their research includes significant contributions in applying deep learning to medical imaging and in development of chaos-based encryption techniques for medical and multimedia signals.

Best Publications

Models and methods for analyzing DCE-MRI: A review

Fahmi Khalifa;Ahmed Soliman;Ayman El-Baz;Mohamed Abou El-Ghar

388
Citations
An MRI-based deep learning approach for accurate detection of Alzheimer’s disease

Unknown

220
Citations
Precise Segmentation of 3-D Magnetic Resonance Angiography

Ayman El-Baz;A. Elnakib;F. Khalifa;Mohamed Abou El-Ghar

150
Citations
3D shape analysis for early diagnosis of malignant lung nodules

Ayman El-Baz;Matthew Nitzken;Fahmi Khalifa;Ahmed Elnakib

134
Citations
Accurate Lungs Segmentation on CT Chest Images by Adaptive Appearance-Guided Shape Modeling

Ahmed Soliman;Fahmi Khalifa;Ahmed Elnakib;Mohamed Abou El-Ghar

115
Citations
Accurate Automatic Analysis of Cardiac Cine Images

F. Khalifa;G. M. Beache;G. Gimelrfarb;G. A. Giridharan

111
Citations
Dynamic Contrast-Enhanced MRI-Based Early Detection of Acute Renal Transplant Rejection

Fahmi Khalifa;Garth M. Beache;Mohamed Abou El-Ghar;Tarek El-Diasty

100
Citations
3d kidney segmentation from CT images using a level set approach guided by a novel stochastic speed function

Fahmi Khalifa;Ahmed Elnakib;Garth M. Beache;Georgy Gimel'farb

91
Citations
Non-invasive image-based approach for early detection of acute renal rejection

Fahmi Khalifa;Ayman El-Baz;Georgy Gimel'farb;Mohammed Abu El-Ghar

89
Citations
Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models

Amir Alansary;Marwa Ismail;Ahmed Soliman;Fahmi Khalifa

88
Citations
3D shape analysis for early diagnosis of malignant lung nodules

Ayman El-Baz;Matthew Nitzken;Ahmed Elnakib;Fahmi Khalifa

84
Citations
A comprehensive non‐invasive framework for automated evaluation of acute renal transplant rejection using DCE‐MRI

Fahmi Khalifa;Mohamed Abou El-Ghar;Behnaz Abdollahi;Hermann B. Frieboes

82
Citations
A New Image Encryption Scheme Based on Hybrid Chaotic Maps

Ibrahim Yasser;Fahmi Khalifa;Mohamed A. Mohamed;Ahmed Shaban Samrah

82
Citations
A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.

Hisham Abdeltawab;Fahmi Khalifa;Fatma Taher;Norah Saleh Alghamdi

80
Citations
A Chaotic-Based Encryption/Decryption Framework for Secure Multimedia Communications.

Ibrahim Yasser;Mohamed A. Mohamed;Ahmed S. Samra;Fahmi Khalifa

77
Citations
Shape-Appearance Guided Level-Set Deformable Model for Image Segmentation

Fahmi Khalifa;Ayman El-Baz;Georgy Gimel'farb;Rosemary Ouseph

73
Citations
A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction.

Hisham Abdeltawab;Mohamed Shehata;Ahmed Shalaby;Fahmi Khalifa

67
Citations
State-of-the-Art Medical Image Registration Methodologies: A Survey

Fahmi Khalifa;Garth M. Beache;Georgy Gimel’farb;Jasjit S. Suri

66
Citations
A new deformable model-based segmentation approach for accurate extraction of the kidney from abdominal CT images

F. Khalifa;G. Gimel'farb;M. Abo El-Ghar;G. Sokhadze

63
Citations
Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models.

Hisham Sliman;Fahmi Khalifa;Ahmed Elnakib;Ahmed Soliman

62
Citations
A level set-based framework for 3D kidney segmentation from diffusion MR images

Mohamed Shehata;Fahmi Khalifa;Ahmed Soliman;Rahaf Alrefai

58
Citations
Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI

Mohamed Shehata;Fahmi Khalifa;Ahmed Soliman;Mohammed Ghazal

44
Citations

Frequent Co-Authors

Ayman El-Baz University of Louisville

Georgy Gimel'farb University of Auckland

Manuel F. Casanova University of South Carolina

Jasjit S. Suri University of Idaho

Mohamed A. Mohamed Minia University

Johanna M. Seddon University of Massachusetts Chan Medical School

Ahmed M. Soliman Cairo University

Jacek M. Zurada University of Louisville

External Links

Personal website of Fahmi Khalifa

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