El-Baz, Ayman

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

Maniruzzaman, M., Rahman, M. J., Al-MehediHasan, M., Suri, H. S., Abedin, M. M., El-Baz, A., & Suri, J. S. (2018) · Journal of Medical Systems

Artificial Intelligence in HealthcareData Mining and Machine Learning Applications

Cited by 275

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm

Maniruzzaman, M., Kumar, N., Menhazul Abedin, M., Shaykhul Islam, M., Suri, H. S., El-Baz, A. S., & Suri, J. S. (2017) · Computer Methods and Programs in Biomedicine

Artificial Intelligence in HealthcareData Mining and Machine Learning Applications

Cited by 270

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Mendrik, A. M., Vincken, K. L., Kuijf, H. J., Breeuwer, M., Bouvy, W. H., de Bresser, J., Alansary, A., de Bruijne, M., Carass, A., El-Baz, A., et al. (2015) · Computational Intelligence and Neuroscience

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 261

Focal cortical dysplasias in autism spectrum disorders

Casanova, M. F., El-Baz, A. S., Kamat, S. S., Dombroski, B. A., Khalifa, F., Elnakib, A., Soliman, A., Allison-McNutt, A., & Switala, A. E. (2013) · Acta Neuropathologica Communications

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 150

Deep Learning Role in Early Diagnosis of Prostate Cancer

Reda, I., Khalil, A., Elmogy, M., Abou El-Fetouh, A., Shalaby, A., Abou El-Ghar, M., Elmaghraby, A., Ghazal, M., & El-Baz, A. (2018) · Technology in Cancer Research & Treatment

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 119

Reduced Gyral Window and Corpus Callosum Size in Autism: Possible Macroscopic Correlates of a Minicolumnopathy

Casanova, M. F., El-Baz, A., Mott, M., Mannheim, G., Hassan, H., Fahmi, R., Giedd, J., Rumsey, J. M., Switala, A. E., & Farag, A. (2009) · Journal of Autism and Developmental Disorders

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 90

Automated Diagnosis and Grading of Diabetic Retinopathy Using Optical Coherence Tomography

Sandhu, H. S., Eltanboly, A., Shalaby, A., Keynton, R. S., Schaal, S., & El-Baz, A. (2018) · Investigative Opthalmology & Visual Science

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 44

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

Elsharkawy, M., Elrazzaz, M., Sharafeldeen, A., Alhalabi, M., Khalifa, F., Soliman, A., Elnakib, A., Mahmoud, A., Ghazal, M., El-Daydamony, E., et al. (2022) · Sensors

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 38

Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai)Bias 2.0: A Systematic Review

Suri, J. S., Agarwal, S., Jena, B., Saxena, S., El-Baz, A., Agarwal, V., Kalra, M. K., Saba, L., Viskovic, K., Fatemi, M., et al. (2024) · IEEE Transactions on Instrumentation and Measurement

COVID-19 diagnosis using AIMeta-analysis and systematic reviews

Cited by 38