Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography
Elyes Farjallah
Research Assistant (HiWi)
Elyes is a Mechatronics and Information Technology student at KIT Karlsruhe, currently pursuing his bachelor’s thesis at the University of Bonn under the supervision of Prof. Dr. Shadi Albarqouni. His research focuses on AI for detecting inherited retinal diseases in fundus images. Previously, he gained practical experience as a research assistant in data science at the University Hospital Heidelberg, evaluating clinical and anatomical data.
Razieh Rezaei
Researcher
Razieh is currently working as an ML researcher at Prof. Dr. Shadi Albarqouni’s lab. She earned her Master’s degree in Computational Science and Engineering from TU-Munich. While pursuing her Master’s, she completed an internship at BMW, where she worked on ML projects, and concurrently conducted her thesis in AI. Later, she worked at LMU-Klinikum as an AI researcher working on the medical applications of Graph Neural Networks, Transformers, and Explainable AI. She aspires to have meaningful contributions to the intersection of AI and medicine while working at Albarqouni Lab.
