Hossam Magdy Balaha
Orcid: 0000-0002-0686-4411
According to our database1,
Hossam Magdy Balaha
authored at least 47 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2025
Cervical vertebral maturation assessment using an innovative artificial intelligence-based imaging analysis system.
Biomed. Signal Process. Control., 2025
Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis.
Biomed. Signal Process. Control., 2025
Explainable AI-Based Approach for Age-Related Macular Degeneration (AMD) Detection via Fundus Imaging.
IEEE Access, 2025
2024
D<sub>MD<sub>RDF</sub></sub>: diabetes mellitus and retinopathy detection framework using artificial intelligence and feature selection.
Soft Comput., October, 2024
Prostate cancer grading framework based on deep transfer learning and Aquila optimizer.
Neural Comput. Appl., May, 2024
An aseptic approach towards skin lesion localization and grading using deep learning and harris hawks optimization.
Multim. Tools Appl., 2024
Advancing feature ranking with hybrid feature ranking weighted majority model: a weighted majority voting strategy enhanced by the Harris hawks optimizer.
J. Comput. Des. Eng., 2024
Advanced OCTA imaging segmentation: Unsupervised, non-linear retinal vessel detection using modified self-organizing maps and joint MGRF modeling.
Comput. Methods Programs Biomed., 2024
Artificial Intelligence-Based Kidney Segmentation With Modified Cycle-Consistent Generative Adversarial Network and Appearance-Based Shape Prior.
IEEE Access, 2024
Optimizing Vertebral Lesion Diagnosis: A CAD-Driven Machine Learning Classification System With Multi-Modal MRI Texture Analysis.
IEEE Access, 2024
Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer.
IEEE Access, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
A Novel Machine Learning-Based Classification Framework for Age-Related Macular Degeneration (AMD) Diagnosis from Fundus Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
A Novel Vit-Based Multi-Scaled and Rotation-Invariance Approach for Precise Differentiation Between Meningioma and Solitary Fibrous Tumor.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Retinal Vascular System Segmentation based on Non-Linear Map-Based Estimation of Joint MGRF Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Advancing Personalized Prostate Cancer Therapy Through Hormonal Treatment: Promising Findings.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
A Multimodal MRI-based Framework for Thyroid Cancer Diagnosis Using eXplainable Machine Learning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
A Cascading Approach with Vision Transformers for Age-Related Macular Degeneration Diagnosis and Explainability.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Integrated Grading Framework for Histopathological Breast Cancer: Multi-level Vision Transformers, Textural Features, and Fusion Probability Network.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Histopathological Diagnosis of Meningioma and Solitary Fibrous Tumors Based on a Multi-scale Fusion Approach Utilizing Vision Transformer and Texture Analysis.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
2023
Comprehensive machine and deep learning analysis of sensor-based human activity recognition.
Neural Comput. Appl., June, 2023
Correction to: A vision-based deep learning approach for independent-users Arabic sign language interpretation.
Multim. Tools Appl., February, 2023
A vision-based deep learning approach for independent-users Arabic sign language interpretation.
Multim. Tools Appl., February, 2023
Neural Comput. Appl., 2023
A generic optimization and learning framework for Parkinson disease via speech and handwritten records.
J. Ambient Intell. Humaniz. Comput., 2023
A comprehensive framework towards segmenting and classifying breast cancer patients using deep learning and Aquila optimizer.
J. Ambient Intell. Humaniz. Comput., 2023
Artif. Intell. Rev., 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Novel Textural and Morphological-Based CAD System for Early and Accurate Diagnosis of Vertebral Tumors.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
A3C-TL-GTO: Alzheimer Automatic Accurate Classification Using Transfer Learning and Artificial Gorilla Troops Optimizer.
Sensors, 2022
PeerJ Comput. Sci., 2022
Classification of breast cancer using a manta-ray foraging optimized transfer learning framework.
PeerJ Comput. Sci., 2022
Hybrid deep learning and genetic algorithms approach (HMB-DLGAHA) for the early ultrasound diagnoses of breast cancer.
Neural Comput. Appl., 2022
Neural Comput. Appl., 2022
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.
Comput. Biol. Medicine, 2022
A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach.
Artif. Intell. Rev., 2022
2021
An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images.
PeerJ Comput. Sci., 2021
Neural Comput. Appl., 2021
Neural Comput. Appl., 2021
Recognizing arabic handwritten characters using deep learning and genetic algorithms.
Multim. Tools Appl., 2021
CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning.
Expert Syst. Appl., 2021
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms.
Artif. Intell. Medicine, 2021
Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching.
IEEE Access, 2021