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We are honored to welcome Dr. Mubarak Shah, a renowned professor from the University of Central Florida (UCF), to our lab. During his visit, we will share our latest research findings and engage in fruitful discussions to explore potential collaborations and future directions in our respective fields.
We are excited to announce the acceptance of our MIDL 2023 paper for publication! Stay tuned for more details on the study.
The new book co-edited by Prof. Bagci, “AI in Clinical Medicine: A Practical Guide for Healthcare Professionals,” is now available for purchase in both physical and electronic formats from Wiley. Get your copy at :
Prof. Bagci will be sharing expertise at the MICCAI 2023 workshop focusing on medical image learning with limited and noisy data.
A highly-anticipated keynote speech is set to be given at the upcoming IEEE ICECCME 2023 conference. It will focus on the failures of deep learning / AI algorithms and propose several approaches to increase robustness of AI powered medical imaging systems.
On March 16, 2023, an insightful talk was delivered at the University of Pennsylvania’s Radiology department, delving into the diagnosis and risk stratification of pancreatic cysts using explainable AI techniques.
On February 15, 2023, an invited talk was given at the University of Wisconsin Madison’s BME department, highlighting the significance of trustworthy AI in imaging-based diagnosis.
An improved method of performing object segmentation and classification that reduces the memory required to perform these tasks, while increasing predictive accuracy.
Bagci lab received a grant funded by RSNA Emerging Issues – Long-Term COVID Effects EILTC2208, entitled “PASC Pulmonary Fibrosis Prediction with Deep Learning and Multimodal Data.”
Bagci Lab 2023, Department of Radiology, Feinberg School of Medicine, Northwestern University.
