Effective Deep Learning-Based Ensemble Model for Road Crack Detection. - Ammar M. Okran; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (IEEE Big Data, 2022)

A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives. - Ammar M. Okran; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (CCIA, 2022)

Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation. - Ammar M. Okran; Adel Saleh; Domenec Puig; Hatem A. Rashwan (CCIA, 2023)

Weakly Supervised Localization of Mammograms for Dense Breast Tissues. - Ammar M. Okran; Shaima Algabli; Hatem A. Rashwan; Domenec Puig (CCIA, 2024)

Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention. - Ammar M. Okran; Hatem A. Rashwan; Domenec Puig (CCIA, 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 (OMIA@MICCAI, 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 (UWF4DR@MICCAI, 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 (UWF4DR@MICCAI, 2024)

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 (MIUA (2), 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)