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\u201cEvaluation of nnU-Net for FCD II Lesion Segmentation in FLAIR MRI\u201d<\/strong><\/p>\n by Yassien Tawfik<\/strong>, Mazen Marwan<\/strong>, Mohamed Yasser<\/strong>, Nancy Mahmoud<\/strong>, and Madonna Mosaad (SBME 2026)<\/strong>.<\/p>\n Supervised by Dr. Aya Khalaf<\/strong>, Eng. Mahmoud Salman<\/strong> (SBME 2024, currently at Western University, Canada), and Dr. Tamer Basha<\/strong>.<\/p>\n The work focuses on automated detection of Focal Cortical Dysplasia (FCD)<\/strong>, one of the leading causes of drug-resistant epilepsy, using deep learning methods for MRI lesion segmentation.<\/p>\n<\/div>\n \u201cUnlocking Hidden Patterns: Transfer Learning Boosts Insulin Prediction Leveraging Unlabelled Gut Microbiome Data\u201d<\/strong><\/p>\n by Ghada Elboghdady<\/strong>, Youssef Awad<\/strong>, Sama Mohamed<\/strong>, Amr Doma<\/strong>, Ahmed Wesal<\/strong> (BDE 2026), Eng. Yara Elshamy<\/strong> and Dr. Tamer Basha<\/strong>.<\/p>\n Under the guidance of Eng. Yara Elshamy<\/strong>, teaching assistant at SBME and Professor Dr. Tamer Basha<\/strong>.<\/p>\n<\/div>\n It is a proud moment to see undergraduate graduation projects from SBME Cairo University reach one of the world\u2019s leading biomedical engineering conferences. These achievements highlight the talent, ambition, and research potential of SBME and BDE students across diverse interdisciplinary areas.<\/p>\n The department extends its sincere congratulations to all participating students, teaching assistants, and supervisors for this outstanding accomplishment and wishes them continued success in their research journeys.<\/p>\n<\/div>\n