Professional Background
Dr. Wismueller is Professor of Radiology and Biomedical Engineering at the University of Rochester Medical Center, where he directs the Computational Radiology Laboratory at the Department of Imaging Sciences. He received his M.D. (Dr. med.) degree from the Technical University of Munich, School of Medicine, in 1992, which included a scientific dissertation in neurology. In addition, he received a M.Sc. degree (Dipl.-Phys. Univ.) in Physics from the Ludwig Maximilians University Munich in 1996 for a scientific thesis on pattern recognition. From 1997 to 2005, he completed his radiology residency and a fellowship in Diagnostic Radiology at the Ludwig Maximilians University Medical Center in Munich, where he founded and established an interdisciplinary research team on digital image processing in radiology. In 2006, he received a Ph.D. degree (Dr. rer. nat.) from the Department of Electrical and Computer Engineering at the Technical University of Munich for a scientific dissertation on a novel pattern recognition algorithm invented by him (Exploratory Observation Machine - XOM), for which he holds several national and international patents.
Dr. Wismueller is author of more than 170 peer-reviewed scientific publications, holds U.S. and European medical licenses, multiple national and international patents, American and German Board Certifications in Diagnostic Radiology, a state doctorate (Habilitation) and an adjunct professorship (Privatdozent) with venia legendi for radiology at the Ludwig Maximilians University Munich.
Dr. Wismueller is the Principal Investigator of a recently granted active National Institutes of Health (NIH) R01 Award on "Brain connectivity in HIV-related cognitive impairment." Supported by NIDA and its AIDS research program and co-funded by the German Ministry of Research, this project focuses on developing a novel analysis approach for exploring information transfer in the human brain based on functional MRI neuro-imaging studies.
Based on his dual professional qualification in both science and medicine, Dr. Wismueller's main research interest is focused on innovative strategies for computational radiology. He is internationally known for his accomplishments in developing novel data exploration, pattern recognition, visualization, and machine learning methods for biomedical imaging. He introduced unsupervised learning techniques to image sequence processing with numerous clinical applications to functional MRI neuroimaging for human brain mapping, breast cancer workup, molecular imaging analysis, and the diagnosis of stroke.
Dr. Wismueller is an active member of multiple national and international professional societies in both medicine and engineering, such as RSNA and SPIE. He has organized multiple scientific conferences and special focus sessions at major international research conventions, has been active in numerous scientific program committees and as a scientific reviewer for highly renowned journals and conferences, and has served on numerous academic and administrative committees in both the U.S and Europe.
Dr. Wismueller has successfully supervised scientific theses of more than 30 Ph.D. and M.Sc. degree students from engineering, computer science, mathematics, biology, and academic medicine at both leading U.S. and European universities, and has advised three post-doctoral fellows. He has led multiple research studies on big data analysis in computational radiology, including a comprehensive research, publication, and funding track record. Besides several NIH-funded awards, he has served as Principal Investigator in a multi-center Translational Research Network Award of the Clinical and Translational Science Institute and in several NYSTAR-funded public-private research projects on biomedical imaging with leading industry partners.