معرفی
Youssef Farag is a Researcher affiliated with the Department of Health Sciences and Technology (D-HEST) at ETH Zurich, Switzerland. He holds a position within the Professorship for Biomedical Data Science. His work focuses on advancing medical imaging techniques using artificial intelligence, particularly in the areas of automated lesion segmentation and deep learning applications in PET/CT scans.
Research Interests: Dr. Farag specializes in biomedical data science, leveraging computational methods to improve diagnostic accuracy in radiology. His key areas include medical image segmentation using convolutional neural networks (CNNs), hybrid loss functions for model optimization, and automated analysis of PET/CT scans for conditions like prostate cancer and lymphoma. His research bridges computer science and clinical medicine to enhance precision in healthcare.
Publications: His recent work emphasizes fully automated methods for organ and lesion segmentation in PET imaging. Notable contributions include applications in prostate, bladder, and lymphoma lesion analysis. These studies highlight advancements in AI-driven medical diagnostics and their potential for clinical adoption.
Labs/Teams: His research is embedded within the Biomedical Data Science group at ETH Zurich, collaborating on interdisciplinary projects involving machine learning and radiological data.