World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
14770
World Ranking
2768
National Ranking
1373

Research.com Recognitions

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2019 - Fellow, National Academy of Inventors

Overview

Ayman El-Baz is affiliated with the University of Louisville in the United States. Their research primarily focuses on medicine, with a strong emphasis on subfields such as radiology, nuclear medicine and imaging, pulmonary and respiratory medicine, ophthalmology, biomedical engineering, and cognitive neuroscience.

The scientist's main topics of work include radiomics and machine learning in medical imaging, retinal imaging and analysis, AI applications in cancer detection, retinal diseases and treatments, COVID-19 diagnosis using AI, autism spectrum disorder research, and combustion and flame dynamics.

Frequent co-authors collaborating with Ayman El-Baz include Mohammed Ghazal, Ali Mahmoud, Fahmi Khalifa, Norah Saleh Alghamdi, and Ahmed Shalaby.

Key venues where their research is frequently published are IEEE Access, Sensors, Scientific Reports, Bioengineering, and Cancers.

Recent papers authored or co-authored by Ayman El-Baz include:

  • "A convolutional neural network for the screening and staging of diabetic retinopathy" (2020, PLoS ONE)
  • "Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging" (2021, Insights into Imaging)
  • "Automated Diagnosis of Diabetic Retinopathy Using Clinical Biomarkers, Optical Coherence Tomography, and Optical Coherence Tomography Angiography" (2020, American Journal of Ophthalmology)
  • "A Deep-Learning Framework for the Detection of Oil Spills from SAR Data" (2021, Sensors)
  • "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)

Ayman El-Baz has been recognized as a Fellow of the Indian National Academy of Engineering (INAE) in 2019 and as a Fellow of the National Academy of Inventors in 2019 as well.

Best Publications

  • Models and methods for analyzing DCE-MRI: A review

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

  • Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies

    Ayman El-Baz;Garth M. Beache;Georgy L. Gimel'farb;Kenji Suzuki

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

    Ehsan Hosseini-Asl;Robert Keynton;Ayman El-Baz

  • MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans

    Adriënne M. Mendrik;Koen L. Vincken;Hugo J. Kuijf;Marcel Breeuwer

  • Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

    Md. Maniruzzaman;Md. Maniruzzaman;Md. Jahanur Rahman;Md. Al-MehediHasan;Harman S. Suri

  • Comparative approaches for classification of diabetes mellitus data

    Md. Maniruzzaman;Nishith Kumar;Md. Menhazul Abedin;Md. Shaykhul Islam

  • Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network

    Ehsan Hosseini-Asl;Robert Keynto;Ayman El-Baz

  • Precise segmentation of multimodal images

    A.A. Farag;A.S. El-Baz;G. Gimel'farb

  • Alzheimer's disease diagnostics by a deeply supervised adaptable 3D convolutional network

    Ehsan Hosseini-Asl;Mohammed Ghazal;Ali Mahmoud;Ali Aslantas

  • Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 1

    Ayman S. El-Baz

  • Medical Image Segmentation: A Brief Survey

    Ahmed Elnakib;Georgy Gimel’farb;Jasjit S. Suri;Ayman El-Baz

  • Precise Segmentation of 3-D Magnetic Resonance Angiography

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

  • Graph cuts framework for kidney segmentation with prior shape constraints

    Asem M. Ali;Aly A. Farag;Ayman S. El-Baz

  • A computer-aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images.

    Ahmed ElTanboly;Ahmed ElTanboly;Marwa Ismail;Ahmed Shalaby;Andy Switala

  • A unified framework for MAP estimation in remote sensing image segmentation

    A.A. Farag;R.M. Mohamed;A. El-Baz

  • 3D shape analysis for early diagnosis of malignant lung nodules

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

  • rTMS neuromodulation improves electrocortical functional measures of information processing and behavioral responses in autism

    Estate M. Sokhadze;Ayman S. El-Baz;Lonnie L. Sears;Ioan Opris

  • Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

    Md. Maniruzzaman;Md. Maniruzzaman;Md. Jahanur Rahman;Benojir Ahammed;Md. Menhazul Abedin

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

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

  • A convolutional neural network for the screening and staging of diabetic retinopathy

    Mohamed Shaban;Zeliha Ogur;Ali Mahmoud;Andrew Switala

  • Accurate Automatic Analysis of Cardiac Cine Images

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

  • A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images.

    Ruba Alkadi;Fatma Taher;Ayman El-Baz;Naoufel Werghi

  • Lung imaging and computer-aided diagnosis

    Ayman El-Baz;Jasjit S. Suri

  • Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network

    Ehsan Hosseini-Asl;Georgy Gimel'farb;Ayman El-Baz

Frequent Co-Authors

Georgy Gimel'farb
Georgy Gimel'farb University of Auckland
Fahmi Khalifa
Fahmi Khalifa Morgan State University
Manuel F. Casanova
Manuel F. Casanova University of South Carolina
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Aly A. Farag
Aly A. Farag University of Louisville
Xiaoyi Jiang
Xiaoyi Jiang University of Münster
Ahmed M. Soliman
Ahmed M. Soliman Cairo University
S. Mani Sarathy
S. Mani Sarathy King Abdullah University of Science and Technology
Jacek M. Zurada
Jacek M. Zurada University of Louisville
Fabian Mauss
Fabian Mauss Brandenburg University of Technology

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