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.

Discover More

News and Events

Machine and Hybrid Intelligence Lab

McCormick Summer Research Award

May 14, 2025
Read More

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

April 6, 2025
Read More

Dr. Bagci has given an invited talk at Indiana University

April 6, 2025
Read More

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

April 6, 2025
Read More

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

April 6, 2025
Read More

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

April 6, 2025
Read More

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

April 6, 2025
Read More

Congrats to Bin Wang for having ICLR 2025 Paper!

February 8, 2025
Read More

5 Papers to be presented at IEEE ISBI 2025!

February 8, 2025
Read More

One paper is accepted to SPIE Medical Imaging 2025!

December 22, 2024
Read More

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

December 22, 2024
Read More

Three papers are accepted to IEEE ICASSP 2025!

December 22, 2024
Read More

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.

Bagci Lab AI Poster

AI Applications in Medicine

Research
We aim to accelerate research in machine learning field to develop solutions for high-risk artificial intelligence (AI) problems such as applications that utilize biomedical imaging. We are particularly focusing on
  • Trustable AI Solutions for high-risk medical applications
  • Human (Expert) in the loop AI applications
  • Explainable/Interpretable and robust AI solutions
Discover More

Leave A Message

Google reCaptcha: Invalid site key.