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Northwestern University Feinberg School of Medicine
Department of Radiology

Advanced Body Imaging

Led by a team of recognized experts in diagnostic imaging of the abdomen and pelvis, our research team works to improve imaging techniques in abdominal and pelvic CT and MR, ultrasound and fluroroscopy in order to understand and treat abdominal, pelvic, GI and GU disease.

 Ulas Bagci, PhD

Associate Professor of Radiology (Basic and Translational Radiology Research)

Bio

Dr. Ulas Bagci is the director of The Machine & Hybrid Intelligence Lab, and an Associate Professor (with tenure) in the Department of Radiology in the Feinberg School of Medicine, and theDepartment of ECE and Biomedical Engineering, at Northwestern. Dr. Bagci has a broad background in Artificial Intelligence (AI) and Machine Learning with specific training in biomedical imaging in internationally renowned research centers. 
Dr. Bagci has more than 400 peer-reviewed articles, and holds several NIH grants (R01, U01, P50, R21 and others). Dr. Bagci is an investigator at the Lurie Cancer Center, an external member of NIH's prestigious Artificial Intelligence Resource, and he serves as an associate editor for top-tier AI in Medical Imaging journals such as IEEE Transactions on Medical Imaging and Elsevier Medical Image Analysis. Dr. Bagci teaches a Medical AI course, and he supervises clinical fellows, postdoc researchers, master's and PhD students, and undergraduate students, as well as high school students. 
Dr. Bagci's AI Lab has several high-impact research projects, most of them are funded by NIH. Some of the research topics are as follows:
  1. Hybrid Intelligence: Human in the loop and Eye Tracking
  2. AI in Pancreatic Diseases (Cancer, Cysts, Diabetes, and Pancreatitis)
  3. AI in Liver Health (HCC and Cirrhosis, Interventional Therapy)
  4. AI for Thoracic Applications (Lung Cancer, PASC Fibrosis, etc).
  5. HITPIRADS: AI for Prostate Cancer Management
  6. FIDELIS: AI for Radiation Oncology Applications
  7. Federated Learning for Healthcare Applications
  8. Explainable/Interpretable AI for High Risk Applications
  9. AI for Cardiology Applications
For further details on The Machine and Hybrid Intelligence Lab, visit www.bagcilab.com
For more information on my research, please view my Feinberg School of Medicine faculty profile.

Profile, Grants, & Publications

View my profile, grants, & publications on Northwestern Scholars.

 Zhitao Li, PhD

 Dr. Zhitao Li, PhD

Research Assistant Professor of Radiology

Bio

Areas of research:

Bones, Cartilage, Joints, Muscles
Brain and Nervous System
Cardiology
Cardiovascular Imaging
Carotid Disease
Kidney
Liver Disease / Pathobiology
Magnetic Resonance Imaging (MRI)
Quantitative MRI
Radiology
Translational Research

For more information on my research, please view my Feinberg School of Medicine faculty profile.

Profile, Grants, & Publications

View my profile, grants, & publications on Northwestern Scholars.

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