Interventional Radiology & Image-Guided Therapy

The interventional radiology research team consists of a diverse group of scientists and physicians who strive to develop novel minimally invasive image-guided therapies. A major focus of this group is in the Interventional Oncology space and the development of novel drug delivery systems. Through collaboration with colleagues in areas across the Feinberg School of Medicine and Northwestern University (including medical oncology, transplant surgery, hepatology, vascular surgery, biomedical engineering and molecular biology), our research interests have recently included development of novel drug delivery systems using nanotechnology approaches, techniques for catheter-based embolization of tumors, novel ablation strategies and device development.

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:

Hybrid Intelligence: Human in the loop and Eye Tracking
AI in Pancreatic Diseases (Cancer, Cysts, Diabetes, and Pancreatitis)
AI in Liver Health (HCC and Cirrhosis, Interventional Therapy)
AI for Thoracic Applications (Lung Cancer, PASC Fibrosis, etc).
HITPIRADS: AI for Prostate Cancer Management
FIDELIS: AI for Radiation Oncology Applications
Federated Learning for Healthcare Applications
Explainable/Interpretable AI for High Risk Applications
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.

Dong-Hyun Kim, PhD

Image-guided medicine is rapidly growing to improve treatment regimens and advancing medical imaging, including magnetic resonance imaging (MRI), computed tomography (CT), radiography, ultrasound, positron emission tomography (PET), and single photon emission computed tomography (SPECT). A combination of modern nanoplatforms with high performance in imaging and therapeutics may be critical to improve medical outcomes.

One of emerging fields is image-guided therapy using various nanoparticles. Therapies include basic bench, preclinical in vitro/in vivo and clinical researches combining synthesis of multifunctional nanoparticle and tracking/navigation tools to improve accuracy and outcomes of the therapeutics. Most of the emerging interventional technique such as heat-activated targeted drug delivery, image guided ablation (microwave or HIFU), percutaneous injection gene/bacteria therapy, transcatheter treatments for tumor specific local therapy, serial biopsy, thrombolytic therapy, and so on, can be combined with nanotechnology in clinic.

My research engages in careful design/selection/synthesis of multifunctional imaging/therapeutic nanomaterials with therapeutic agents will be critical for the translational optimization these new image guided medicine techniques. The DHKIM Lab for Biomaterials of Image Guided NanoMedicine has focused on developing various therapeutic/imaging carriers for the treatment of various cancers. Micro/Nanoparticles and their hybrid derivatives have been exploited as vectors for drug/therapeutic delivery and molecular imaging agents of MRI, CT, ultrasound and luminescent/fluorescents. We are working closely with clinicians, medical scientists, biologist and imaging professionals to translate new therapeutic approaches using multifunctional carriers and diagnostic imaging technique to the clinical setting.

Lab Manager: Xiaoke Huang

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.

Bo Zhou, PhD

Dr. Bo Zhou, Associate Professor of Radiology

Assistant Professor of Radiology

Bio

Dr. Zhou received his PhD in Biomedical Engineering from Yale University with the highest PhD honor of the Harding Bliss Prize. He also holds a Master's in Computer Vision from Carnegie Mellon University and a Master's in Biomedical Engineering from Case Western Reserve University. His research mainly focuses on AI for multi-modal medical imaging, especially in PET, SPECT, MRI, and CT.

His areas of research are Radiology; Radiology, X-ray, CAT Scan, Medical Imaging; Radionuclide Imaging; Cardiovascular Imaging; Medical Informatics; Bioinformatics; Big Data; Quantitative MRI; Radiation Oncology; Preventive Medicine; Pathology; Oncology; Translational Research

Profile, Grants, & Publications

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