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Axel W. E. Wismueller, M.D., M.Sc., Ph.D.

Imaging Sciences

Contact Information

Phone Numbers

Office: (585) 613-2399

URMFGA member of the University of Rochester Medical Faculty Group

groupAn Accountable Health Partner

assignmentAccepting New Patients

Research Labs

Biography

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.

Credentials

Faculty Appointments

Specialties

  • Diagnostic Radiology - American Board of Radiology

Education

1992
MD | Germany - Technical University of Munich
Medicine

1996
MSc | Germany - Ludwig Maximilians University Munich
Physics

2005
Board Certification | Germany - Bavarian Council of Physicians
Radiology (Facharzt für Radiologie)

2006
PhD | Germany - Technical University of Munich
Electrical and Computer Engineering

2008
Educational Commission for Foreign Medical Graduates (ECFMG) Certificate | U.S.A.
Medicine

2009
Habilitation | Germany - Ludwig Maximilians University Munich
Radiology

2010
Venia legendi (Privatdozent) | Germany - Ludwig Maximilians University Munich
Radiology

2013
American Board of Radiology | Diagnostic Radiology

Post-doctoral Training & Residency

04/01/2005 - 01/31/2007
Fellowship in Radiology-Diagnostic at University Hospitals

01/01/1997 - 03/31/2005
Residency in Radiology-Diagnostic at University Hospitals

07/01/1989 - 12/31/1990
Residency in Internal Medicine at University Hospitals

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Awards

2012 - Present
Principal Investigator, National Institutes of Health (NIH)/NIDA R01 Award
Sponsor: Brain Connectivity in HIV-Related Cognitive Impairment
Location: Supported by NIDA and co-funded by German Ministry of Research

2012
Harry W. Fischer Funds Award, University of Rochester Medical Center
Sponsor: Imaging for Oncoplastic Resections of Breast Cancer

2011
Upstate New York Translational Research Network (UNYTRN) Award
Sponsor: Clinical and Translational Sciences Institute (CTSI)
Location: Multidimensional Imaging for Breast Cancer Diagnosis

2010
Center for Emerging and Innovative Sciences (CEIS) Research Award
Sponsor: Funded by NYSTAR
Location: Computer-Aided Analysis of Interstitial Lung Disease Patterns

2008
Charles and Janet Forbes Entrepreneurial Award for Biomedical Engineering Senior Design Project
Sponsor: Department of Biomedical Engineering, University of Rochester
Location: Transportation Device for Urinalysis by Raman Spectroscopy

2003 - 2005
Ludwig Maximilians University Munich Research Grant
Location: Intelligent MRI Data Analysis

2000 - 2003
German Research Council (DFG) Graduate Research Program Award
Location: Speech, Mimics and Motion in Technical Information Systems

2000 - 2001
Max Planck Institute of Psychiatry Grant Award
Location: Segmentation of White Matter Lesions from Multispectral MRI Data

1999
Novartis Pharmaceutical Corporation Grant Award
Sponsor: Segmentation of Lower Extremity Edema in MRI Data

1999
Institute of Phonetics Grant Award
Sponsor: Ludwig Maximilians University Munich
Location: MRI of the Human Vocal Tract

1998 - 1999
Marconi Corporation Grant Award
Sponsor: MRI Segmentation and Registration

1998
Max Planck Institute of Psychiatry Grant Award
Sponsor: Explorative Analysis of Functional MRI Data of the Human Brain

1997 - Present
Hanns Seidel Foundation, Senior Laureate Fellow

1996 - 1997
Hanns Seidel Foundation Postgraduate Fellowship Award

1996
Wacker Chemical Corporation Research Grant Award
Location: Intelligent control of chemical waste combustion plants

1995
Hanns Seidel Foundation Scientific Conference Organization Grant Award
Location: Symp. on Biological Information Processing and Neural Networks

1995
Sun Microsystems Corporation Scientific Conference Organization Grant Award
Location: Symp. on Biological Information Processing and Neural Networks

1985 - 1989
Hanns Seidel Foundation Undergraduate Fellowship Award

1982 - 1986
State of Bavaria Scholarship Award for Outstanding Achievements

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Publications

Journal Articles

8/1/2017
DSouza AM, Abidin AZ, Leistritz L, Wismüller A. "Exploring connectivity with large-scale Granger causality on resting-state functional MRI." Journal of neuroscience methods.. 2017 Aug 1; 287:68-79. Epub 2017 Jun 16.

2017
Botao Deng; Anas Z. Abidin; Adora M. DSouza; Mahesh B. Nagarajan; Udaysankar Chockanathan; Paola Coan; Axel Wismüller. "Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks". Accepted for publication. Proc. of SPIE. 2017; MI 10137-53.

2017
Anas Z. Abidin; Adora M. DSouza; Udaysankar Chockanathan; Matilde Inglese; Axel Wismüller. "Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis". Accepted for publication. Proc. of SPIE. 2017; MI 10137-52.

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