General Research Interestimage analysis, computer-aided detection/diagnosis
Research DescriptionDr. Gurcan's research interests include image analysis and understanding, computer vision with applications to medicine. Over the last decade, his research contributions have concentrated on computer-aided detection and diagnosis (CAD) of cancer. He has developed CAD systems for different organs such as breast, lung and colon and for different modalities such as mammography and CT. CAD development requires interdisciplinary research. Therefore, Dr. Gurcan's research experience covers a wide variety of interrelated fields such as multi-resolution image decomposition, adaptive filtering, statistical pattern recognition, neural networks, image and volume registration, morphological image processing, multi-dimensional optimization, image segmentation, and statistical signal processing. Dr. Gurcan currently manages several histopathological and radiological image analysis related projects funded by the National Cancer Institute, National Library of Medicine, American Cancer Society, Department of Defense and Children’s Neuroblastoma Cancer Foundation.
Transinstitutional WorkDr. Gurcan extensively collaborates with researchers within our institutions at the Comprehensive Cancer Center and the Ohio State University from the departments of Biomedical Informatics, Internal Medicine, Endocrinology, Sports Medicine, Pathology, Radiology, Electrical and Computer Engineering, BioStatistics, Computer-Science and Engineering, Biomedical Engineering, The Ohio SuperComputer Center as well as researchers from around the world: Cleveland Clinic, Vanderbilt University, Nationwide Children’s Hospital in Columbus, Children’s Hospital Los Angeles, University of California San Diego, GRECAEN, France, Bilkent University, Turkey, University of Warwick, England. He is also a frequent lecturer at major international conferences, organizes international conferences, workshops, seminars and contests both in the US and abroad