Machine and Hybrid Intelligence Lab

Bagci’s AI lab focuses on the development of advanced machine learning and deep learning techniques for medical image analysis. The lab’s research covers a broad range of applications, including but not limited to, early disease detection, diagnosis, and prognosis, with a particular emphasis on cancer, cardiovascular and lung diseases, and neurological disorders. The Bagci Lab is known for its work on innovative algorithms for image segmentation, classification, and registration. Researchers in the lab also explore the integration of multi-modal data, such as combining imaging data with clinical or genomic data, to enhance the accuracy and utility of AI-driven diagnostic tools. The Bagci’s AI lab collaborates with various institutions and hospitals, translating their research into practical tools that can be used in clinical settings.