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Contact Info

Axel W. E. Wismueller, M.D., Ph.D Department of Biomedical Engineering University of Rochester work Box 648 Rochester, NY office: MCA 2-2-214 p 585-613-2399 f Wismueller

Recent Publications

    • Nagarajan MB
    • Coan P
    • Huber MB
    • Diemoz PC
    • Glaser C
    • Wismüller A
    (2014 Feb). Computer-aided diagnosis for phase-contrast X-ray computed tomography: quantitative characterization of human patellar cartilage with high-dimensional geometric features. - Journal of digital imaging.
    • Nagarajan MB
    • Huber MB
    • Schlossbauer T
    • Leinsinger G
    • Krol A
    • Wismüller A
    (2014 Jan). Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology. - Artificial intelligence in medicine.
    • Nagarajan MB
    • Huber MB
    • Schlossbauer T
    • Leinsinger G
    • Krol A
    • Wismüller A
    (2013 Oct 1). Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over time. - Machine vision and applications.
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Graduate Student

  • Photo of Mahesh Nagarajan

    Mahesh Nagarajan

    Characterization of Chondrocyte Patterns in Normal and Osteoarthritic Human Patella Cartilage on Computed Tomography Phase-Contrast Imaging through Texture Analysis

Axel W. E. Wismueller

  • M.D. / Ph.D., Technical University of Munich, 2006
Photo of Axel Wismueller
  • Professor

    • Imaging Sciences
    • Biomedical Engineering
  • Associate Professor

    • Electrical & Computer Engineering
    • Rochester Center for Brain Imaging

Research Overview

The mission of Professor Wismueller's research group is to develop novel intuitively intelligible computational visualization methods for the exploratory analysis of high-dimensional data from biomedical imaging. Specifically, the focus of our research is on developing robust and adaptive systems for computer-aided analysis and visualization which combine principles and computational strategies inspired by biology with machine learning and image processing/computer vision approaches from electrical engineering and computer science.

Research efforts in Professor Wismueller's group are taking place at two complementary levels:

  • Mathematical algorithms for computational image analysis
  • Pattern recognition in clinical real-world applications

Application areas range from functional MRI for human brain mapping, MRI mammography for breast cancer diagnosis, image segmentation in Multiple Sclerosis and Alzheimer's Dementia to multi-modality fusion, biomedical time-series analysis, and quantitative bio-imaging. Professor Wismueller's laboratory is located in the Rochester Center for Brain Imaging, which houses a whole body 3T Siemens MRI Scanner and several high field magnets.