Ammar M. Okran

According to our database, Ammar M. Okran authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Efficient crack segmentation with multi-decoder networks and enhanced feature fusion.

Ammar M. Okran, Hatem A. Rashwan, Adel Saleh, Domenec Puig

Eng. Appl. Artif. Intell., 2025

Towards Breast Tumor Aggressiveness Classification in Digital Mammograms Using Boundary-Aware Segmentation and Feature Analysis.

Adnan Khalid, Muhammad Mursil, Ammar M. Okran, Josep Guma Padro, Carlos López Pablo, Domenec Puig, Hatem A. Rashwan

Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

2024

Deep Self-supervised Learning for Ultra-widefield Fundus Image Quality Assessment.

Ammar M. Okran, Saif Khalid Musluh, Saddam Abdulwahab, Domenec Puig, Hatem A. Rashwan

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

Reliable DL-Based Referable Diabetic Retinopathy and Diabetic Macular Edema Detection Using Ultra-widefield Fundus Images.

Saif Khalid Musluh, Ammar M. Okran, Saddam Abdulwahab, Hatem A. Rashwan, Domenec Puig

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis.

Saif Khalid Musluh, Ammar M. Okran, Saddam Abdulwahab, Domenec Puig, Hatem A. Rashwan

Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention.

Ammar M. Okran, Hatem A. Rashwan, Domenec Puig

Proceedings of the Artificial Intelligence Research and Development, 2024

Weakly Supervised Localization of Mammograms for Dense Breast Tissues.

Ammar M. Okran, Shaima Algabli, Hatem A. Rashwan, Domenec Puig

Proceedings of the Artificial Intelligence Research and Development, 2024

2023

Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation.

Ammar M. Okran, Adel Saleh, Domenec Puig, Hatem A. Rashwan

Proceedings of the Artificial Intelligence Research and Development, 2023

2022

A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives.

Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig

Proceedings of the Artificial Intelligence Research and Development, 2022

Effective Deep Learning-Based Ensemble Model for Road Crack Detection.

Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig

Proceedings of the IEEE International Conference on Big Data, 2022