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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

    • Huber MB
    • Bunte K
    • Nagarajan MB
    • Biehl M
    • Ray LA
    • Wismüller A
    (2012 Oct). Texture feature ranking with relevance learning to classify interstitial lung disease patterns. - Artificial intelligence in medicine. .
    • Huber MB
    • Lancianese SL
    • Nagarajan MB
    • Ikpot IZ
    • Lerner AL
    • Wismuller A
    (2011 Jun). Prediction of biomechanical properties of trabecular bone in MR images with geometric features and support vector regression. - IEEE transactions on bio-medical engineering. .
    • Huber MB
    • Nagarajan MB
    • Leinsinger G
    • Eibel R
    • Ray LA
    • Wismüller A
    (2011 Apr). Performance of topological texture features to classify fibrotic interstitial lung disease patterns. - Medical physics. .
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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

Photo of Axel Wismueller

  • Associate Professor

    • Biomedical Engineering
    • Imaging Sciences
    • Rochester Center for Brain Imaging

Wismueller Lab

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.