Asmaa El-Sayed Hassan

According to our database, Asmaa El-Sayed Hassan authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Comprehensive multimodal approach for Parkinson's disease classification using artificial intelligence: insights and model explainability.

Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Rawan Ayman Ahmed, Magdy Hassan Balaha

Soft Comput., February, 2025

2024

An aseptic approach towards skin lesion localization and grading using deep learning and harris hawks optimization.

Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Eman M. El-Gendy, Hanaa ZainEldin, Mahmoud M. Saafan

Multim. Tools Appl., 2024

Optimizing Vertebral Lesion Diagnosis: A CAD-Driven Machine Learning Classification System With Multi-Modal MRI Texture Analysis.

Mohamed T. Azam, Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Ahmed Alksas, Mohamed Shehata, Ahmed El-Morsy, Basem I. Awad, Norah Saleh Alghamdi, Mohammed Ghazal, Ayman El-Baz

IEEE Access, 2024

2023

Comprehensive machine and deep learning analysis of sensor-based human activity recognition.

Hossam Magdy Balaha, Asmaa El-Sayed Hassan

Neural Comput. Appl., June, 2023

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

Hossam Magdy Balaha, Asmaa El-Sayed Hassan

Neural Comput. Appl., 2023

A variate brain tumor segmentation, optimization, and recognition framework.

Hossam Magdy Balaha, Asmaa El-Sayed Hassan

Artif. Intell. Rev., 2023

A Novel Textural and Morphological-Based CAD System for Early and Accurate Diagnosis of Vertebral Tumors.

Mohamed T. Azzam, Ahmed Alksas, Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Mohamed Shehata, Nagham E. Mekky, Noha A. Hikal, Basem I. Awad, Ahmad El-Morsy, Mohammed Ghazal, Ayman El-Baz

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023