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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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
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News and Events

Machine and Hybrid Intelligence Lab

October 16, 2024

Prof. James Zou of Stanford Visited Bagci Lab

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