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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
2025
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5
10
15
20
3
8
7
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8
11
3

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Online presence:

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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

A Vision Transformer Approach for Breast Cancer Classification in Histopathology.
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

A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19.
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

Harnessing Vision Transformers for Precise and Explainable Breast Cancer Diagnosis.
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

Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm.
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

A variate brain tumor segmentation, optimization, and recognition framework.
Artif. Intell. Rev., 2023

An AI-Based CAP Framework for Wilms' Tumor Preoperative Chemotherapy Susceptibility.
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

Early Diagnosis of Prostate Cancer Using Parametric Estimation of IVIM from DW-MRI.
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

An optimized deep learning approach for suicide detection through Arabic tweets.
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

A multi-variate heart disease optimization and recognition framework.
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

A new Arabic handwritten character recognition deep learning system (AHCR-DLS).
Neural Comput. Appl., 2021

Automatic recognition of handwritten Arabic characters: a comprehensive review.
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

Human Action Recognition Based on Transfer Learning Approach.
IEEE Access, 2021


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