Professional Bio
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.
| Harry W. Fischer Funds Award, University of Rochester Medical Center | Imaging for Oncoplastic Resections of Breast Cancer |
2012 |
| Upstate New York Translational Research Network (UNYTRN) Award | Clinical and Translational Sciences Institute (CTSI) | Multidimensional Imaging for Breast Cancer Diagnosis |
2011 |
| Center for Emerging and Innovative Sciences (CEIS) Research Award | Funded by NYSTAR | Computer-Aided Analysis of Interstitial Lung Disease Patterns |
2010 |
| Charles and Janet Forbes Entrepreneurial Award for Biomedical Engineering Senior Design Project | Department of Biomedical Engineering, University of Rochester | Transportation Device for Urinalysis by Raman Spectroscopy |
2008 |
| Ludwig Maximilians University Munich Research Grant | Intelligent MRI Data Analysis |
2003 - 2005 |
| German Research Council (DFG) Graduate Research Program Award | Speech, Mimics and Motion in Technical Information Systems |
2000 - 2003 |
| Max Planck Institute of Psychiatry Grant Award | Segmentation of White Matter Lesions from Multispectral MRI Data |
2000 - 2001 |
| Institute of Phonetics Grant Award | Ludwig Maximilians University Munich | MRI of the Human Vocal Tract |
1999 |
| Novartis Pharmaceutical Corporation Grant Award | Segmentation of Lower Extremity Edema in MRI Data |
1999 |
| Max Planck Institute of Psychiatry Grant Award | Explorative Analysis of Functional MRI Data of the Human Brain |
1998 |
| Marconi Corporation Grant Award | MRI Segmentation and Registration |
1998 - 1999 |
| Hanns Seidel Foundation, Senior Laureate Fellow |
1997 - Present |
| Wacker Chemical Corporation Research Grant Award | Intelligent control of chemical waste combustion plants |
1996 |
| Hanns Seidel Foundation Postgraduate Fellowship Award |
1996 - 1997 |
| Hanns Seidel Foundation Scientific Conference Organization Grant Award | Symp. on Biological Information Processing and Neural Networks |
1995 |
| Sun Microsystems Corporation Scientific Conference Organization Grant Award | Symp. on Biological Information Processing and Neural Networks |
1995 |
| Hanns Seidel Foundation Undergraduate Fellowship Award |
1985 - 1989 |
| State of Bavaria Scholarship Award for Outstanding Achievements |
1982 - 1986 |
2014 Jan
Mahesh B. Nagarajan; Markus B. Huber; Thomas Schlossbauer; Gerda Leinsinger; Andrzej Krol; Axel Wismüller. "Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology". Artificial Intelligence in Medicine; Accepted for publication. 2014; . |
2014
Chien-Chun Yang; Mahesh B. Nagarajan; Markus B. Huber; Julio Carballido-Gamio; Jan S. Bauer; Thomas Baum; Felix Eckstein; Eva Lochmüller; Sharmila Majumdar; Thomas M. Link; Axel Wismüller. "Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone micro-architecture and support vector regression". Journal of Electronic Imaging; Accepted for publication. 2014; . |
2013
Mahesh B. Nagarajan; Markus B. Huber; Thomas Schlossbauer; Gerda Leinsinger; Andrzej Krol; Axel Wismüller. "Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement". Machine Vision and Applications. 2013; 24(7): 1371-1381. Link |
2013
Mahesh B. Nagarajan; Markus B. Huber; Thomas Schlossbauer; Gerda Leinsinger; Andrzej Krol; Axel Wismüller. "Classification of small lesions on breast MRI: evaluating the role of dynamically extracted texture features through feature selection". Journal of Medical and Biological Engineering. 2013; 33(1): 59-68. Link |
2013
Chetan Bhole; Christopher Pal; David Rim; Axel Wismüller. "3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning". Machine Vision and Applications. 2013; : doi: 10.1007/s00138-013-0497-x. Link |
