Ahmed Alksas
Orcid: 0000-0001-9409-931X
According to our database1,
Ahmed Alksas
authored at least 23 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
Cervical vertebral maturation assessment using an innovative artificial intelligence-based imaging analysis system.
Biomed. Signal Process. Control., 2025
2024
Hybrid Deep Learning Approach with Feature Engineering for Enhanced Pulmonary Nodule Diagnosis.
SN Comput. Sci., October, 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
A Transfer Learning Framework for Lung Cancer Classification Using EfficientV2-L: Generalizability Assessment.
Proceedings of the 6th International Conference on Pattern Analysis and Intelligent Systems, 2024
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 New AI System for Precise Grading of HCC Based on Analyzing DW-MRI Radiomics and Alpha-fetoprotein as Liver Cancer Clinical Marker.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
2023
A novel higher order appearance texture analysis to diagnose lung cancer based on a modified local ternary pattern.
Comput. Methods Programs Biomed., October, 2023
Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework.
IEEE Access, 2023
A Novel Technique of Pulmonary Nodules Auto Segmentation Using Modified Convolutional Neural Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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
Accurate Segmentation for Pathological Lung Based on Integration of 3D Appearance and Surface Models.
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers.
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Sensors, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors.
Sensors, 2021
A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
A Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma.
Proceedings of the 25th International Conference on Pattern Recognition, 2020