Machine and Hybrid Intelligence Lab
Bagci’s AI Group at Northwestern University
Machine and Hybrid Intelligence Lab (MHIL) was founded by Prof. Ulas Bagci in 2021 January, located at the Department of Radiology, Northwestern University, Chicago, IL.
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News and Events
Machine and Hybrid Intelligence Lab

McCormick Summer Research Award

Dr. Bagci was invited to give a keynote talk at IEEE WACV 2025

Dr. Bagci has given an invited talk at Indiana University

Dr. Bagci has given a tutorial in SAR 2025 Conference with Dr. Tirkes

Dr. Bagci has given an invited talk at ASGE’s AIGI Workshop

Dr. Bagci has given an invited talk at Suzhou’s Medical Imaging Workshop

Dr. Bagci gave an invited talk in Boston University! See Youtube Video for the talk!

Congrats to Bin Wang for having ICLR 2025 Paper!

5 Papers to be presented at IEEE ISBI 2025!

One paper is accepted to SPIE Medical Imaging 2025!

Three papers are accepted for publication at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Three papers are accepted to IEEE ICASSP 2025!
Deliver Excellence in Clinical
AI Applications
OUR PURPOSE IS TO
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.

AI Applications in Medicine
Research
- Trustable AI Solutions for high-risk medical applications
- Human (Expert) in the loop AI applications
- Explainable/Interpretable and robust AI solutions