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

BagciLab welcomes Dr. Zongwei Zhou!

BagciLab at AAAI

Dr. Bagci has received two awards from NU!

BagciLab attended/presented at IEEE ICCV 2025!


Dr. Elif Keles gave an invited talk at APA!

We have presented 9 talks at RSNA 2025!

Fikret got his PhD! (11th PhD student in Bagci Lab)

Fellow Presentations at Research Days !

Dr. Bagci gave an invited talk at NYU!

Prof. Gurcan Visits Bagci Lab

4 New IEEE Publications from our lab!

McCormick Summer Research Award


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 to IEEE ICASSP 2025!

Prof. James Zou of Stanford Visited Bagci Lab

Blue Ribbon Poster Prize at CBTN 2024

APA-meeting
Bagci lab has 8 abstracts to be presented in RSNA 2024.

One paper accepted for the prestigious BMVC!

Congrats to Bin Wang for presentation in MedAI

We have an abstract accepted at ISMRM 2024!



Congrats! Two papers are accepted in WACV2024
Spotlight in NU’s Newsletter
Congrats! 3 Papers in MICCAI 2023
New Paper is Accepted in ICML
New NIH U01 Grant from NCI
MIDL 2023 Paper is Accepted for Publication
Invited Talk at AI Summer School
DDW 2023: Digestive Diseae Week
Keynote Speech on MICCAI 2023 Workshop
RSNA Grant to Learn Prolonged Symptoms of COVID-19
RSNA 2022 108th Scientific Assembly and Annual Meeting
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












