Luciano Prevedello, MD, MPHVice Chair, Medical Informatics & Augmented Intelligence in Imaging
Engin Dikici, PhDResearch Scientist
Sema Candemir, PhDResearch Scientist
Matt Bigelow MBA, CNMT, RT(N)(CT)Data Analytics Consultant
Kevin Little, PhDAssistant Professor of Radiology and Diagnostic Medical Physicist
Xuan V. Nguyen MD, PhDAssistant Professor, Dept. of Radiology
Joseph S. Yu, MDProfessor of Radiology and Orthopedic Surgery
Sarah M. YuResearch Intern
John Ryu, MDResident Collaborator
Lab Director, Division Chief, Medical Imaging Informatics
Dr. Prevedello is an Associate Professor of Radiology at the Ohio State University Wexner Medical Center. He is the Division Chief of Medical Imaging Informatics and Medical Director of the 3D and Advanced Visualization Lab.
Following his residency in Radiology, Dr. Prevedello has received formal training in Imaging Informatics, Quality and Safety as well as Diagnostic Radiology with emphasis on Evidence-Based Imaging, Diagnostic Neuroimaging and Emergency Radiology at Brigham and Women’s Hospital – Harvard Medical School.
He obtained his Master’s degree in Public Health at Harvard School of Public Health.
He is Board Certified in Radiology, Neuroradiology and Clinical Informatics.
Dr. Prevedello is part of the Board of Directors of the Society for Imaging Informatics in Medicine. He also chairs the Machine Learning Steering committee at the Radiological Society of North America and serves as an active member in the Radiology Informatics Committee, Structured Reporting Subcommittee and Scientific Program Committee (Radiology Informatics). Dr. Prevedello is an Associate Editor of the upcoming Radiology: Artificial Intelligence Journal. At the American College of Radiology, Dr. Prevedello serves as a member in the Informatics Advisory Council.
Engin Dikici, PhD
Dr. Dikici received his Masters of Science degree from the Computer and Information Science Department at the University of Pennsylvania in 2006, and PhD degree in Biomedical Engineering from College of Medicine of Norwegian University of Science and Technology in 2012.
Dr. Dikici’s research interests include segmentation, registration, real time tracking and synthesis of medical images.
Dr. Candemir is a research scientist in the Ohio State University Wexner Medical Center. Her research interests are image processing, medical image analysis and computer vision. She was a postdoctoral researcher in Lister Hill National Center for Biomedical Communications in National Library of Medicine, NIH. She was a team member of chest X-ray screening, people locator, and age-related eye disease detection projects. Prior to joining NLM, she worked as a postdoctoral researcher at University of Missouri-Columbia, where she collaborated with Air Force Research Laboratory and Kitware Company towards robust target tracking in wide area imagery.
Awards and Certificates:
- 2017, NLM Honor Award: In Recognition and Appreciation of Exceptional Service by a Contractor, National Library of Medicine.
- 2017, Best Paper Award, 30th IEEE International Symposium on Computer-Based Medical Systems, “Novel Method for Storyboarding Biomedical Videos for Medical Informatics.
- 2016, Team Award, Recognition and Appreciation of Special Achievement, In recognition of a smart phone app to detect malaria – Watch it, Parasite! National Library of Medicine.
- 2014, Certificate and Team Award, HHS – Ignites Pathway Award for the Automatic X-ray Screening for Rural Areas, U.S. Department of Health and Human Services.
- 2014, Certificate of Appreciation: For dedicated effort in curating chest X-ray image dataset, Communication Engineering Branch, National Library of Medicine.
Reviewer – Several peer-reviewed journals including Computer Methods and Programs in Biomedicine , Elsevier, Journal of IEEE Transaction on Biomedical Engineering, and Journal of IEEE Transaction of Medical Imaging.
Technical Program Committee Member: 2018-Int.Conf. on Recent Trends in Image Processing and Pattern Recognition. 2017 – IEEE Life Sciences Conference.
Matt attended The Ohio State University for his Bachelors in Radiologic Sciences and Therapy and a MBA graduate from the Fisher School of Business at The Ohio State University.
Matt is currently the Data Consultant for the Lab and the Department of Radiology. His role in the lab consists of data gathers, cleaning, and development of GUIs to help with labeling of images. He also helps implement algorithms into the clinical workflows to be tested/used clinically by Radiologists.
Kevin Little, PhD
Dr. Little is an Assistant Professor of Radiology and Diagnostic Medical Physicist at the Ohio State University Wexner Medical Center. He completed a PhD in Medical Physics in 2014 at the University of Chicago, where he also completed a clinical imaging physics residency in 2016.
He is board certified in diagnostic medical physics by the American Board of Radiology.
Dr. Little is a member of the American Association of Physicists in Medicine (AAPM) Radiography and Fluoroscopy Subcommittee as well as co-chair of the AAPM Task Group on Development of Standards for Vendor-Neutral Reject Analysis in Radiography.
Dr. Xuan V. Nguyen is an Assistant Professor in the Department of Radiology at the Ohio State University Wexner Medical Center, having joined the Division of Neuroradiology in 2012.
He earned a B.S.E. degree in Chemical Engineering from Princeton University in 1998, with Certificates of Proficiency in Applications of Computing, Applied & Computational Mathematics, Engineering & Management Systems, and Engineering Biology. He received an M.D. (with high distinction) and a Ph.D. in Anatomy & Neurobiology from the University of Kentucky in 2006 and 2007, respectively. He completed residency in Diagnostic Radiology at the same institution in 2011 after serving as Chief Resident and subsequently underwent fellowship training in Neuroradiology at Duke University. He is board-certified in Diagnostic Radiology and Neuroradiology.
Dr. Nguyen has authored or co-authored over 90 journal articles and abstracts and is a manuscript reviewer for multiple radiology and non-radiology journals. He is a former recipient of a National Research Service Award from NIH and a fellowship grant from the Howard Hughes Medical Institute. He currently serves on the Committee for Evidence-Based Medicine of the American Society of Neuroradiology, the RADPEER Peer Review Committee of the American College of Radiology, and the Neuroradiology Certifying & Subspecialty Item Writing Committee of the American Board of Radiology. He has also served on multiple task forces of the Radiology Research Alliance and chairs the Clinical Competence Committee of the Neuroradiology Fellowship Program at OSUWMC. His recent research interests include neuroimaging applications of deep learning and other big-data analyses in clinical radiology practice.
Joseph S. Yu, MD
Joseph S. Yu., M.D., Professor of Radiology and Orthopedic Surgery, currently serves as Vice Chairman of Academic Affairs and Education. He obtained his undergraduate and medical degrees from the Ohio State University. After residency in diagnostic radiology at his alma mater, Dr. Yu completed an Osteoradiology Fellowship at the University of California, San Diego. He has served as Director of the Musculoskeletal Division since 1994.
Dr. Yu is the sole author of the popular Musculoskeletal Imaging: Case Review, in its third edition, and was co-editor of the 2008 ARRS categorical course syllabus State-of-the-Art Emergency and Trauma Radiology. In 2015, he co-edited Problem Solving in Emergency Radiology, which is endorsed by the American Society of Emergency Radiology (ASER).
He is Past President of the ASER, and serves on numerous national and international committees in several distinguished radiology organizations including the American Board of Radiology, and also serves on the American College of Radiology (ACR) Appropriateness Criteria Panel in Musculoskeletal Imaging. He has received honorary fellow status in both the ASER and ACR.
Dr. Yu has been an active participant in funded research including the prestigious multi-year Osteoarthritis Initiative Grants. To date, he has authored 300 papers, chapters, and abstracts, and delivered over 170 national and international lectures. He has recently focused his research interests on applying machine learning to a variety of musculoskeletal conditions, and has numerous projects using Artificial Intelligence in joint imaging.
Sarah M. Yu
Sarah is a research intern in the Department of Radiology. She graduated summa cum laude from the Ohio State University with a Bachelor of Science in Biochemistry. She is currently a medical student in the College of Medicine at the Ohio State University, and has published several research projects in radiology.
John Ryu, MD
Dr. Ryu served as a resident collaborator with the Laboratory for Augmented Intelligence in Imaging. He received his MD from the Ohio State University College of Medicine and completed a Diagnostic-Radiology residency with the Department of Radiology at the OSU Wexner Medical Center.