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Wismüller Lab

Welcome to the Wismüller Lab

The mission of Professor Wismüller'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 Wismüller'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 Wismüller'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.

Publications

    1. DSouza AM
    2. Abidin AZ
    3. Chockanathan U
    4. Schifitto G
    5. Wismüller A
    Mutual connectivity analysis of resting-state functional MRI data with local models.; NeuroImage. 2018 May 16.
    1. Abidin AZ
    2. Deng B
    3. DSouza AM
    4. Nagarajan MB
    5. Coan P
    6. Wismüller A
    Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.; Computers in biology and medicine; Vol 95. 2018 Apr 01.
    1. DSouza AM
    2. Abidin AZ
    3. Chockanathan U
    4. Wismüller A
    Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder; Proc. of SPIE - the International Society for Optical Engineering; Vol 10574. 2018 Jan 01.
    1. Abidin AZ
    2. DSouza AM
    3. Chockanathan U
    4. Schifitto G
    5. Wismüller A
    Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis; Proc. of SPIE - the International Society for Optical Engineering; Vol 10578. 2018 Jan 01.
    1. Chockanathan U
    2. Abidin AZ
    3. DSouza AM
    4. Schifitto G
    5. Wismüller A
    Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI; Proc. of SPIE - the International Society for Optical Engineering; Vol 10578. 2018 Jan 01.
    1. Chockanathan U
    2. DSouza AM
    3. Abidin AZ
    4. Schifitto G
    5. Wismüller A
    Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI; Proc. of SPIE - the International Society for Optical Engineering; Vol 10575. 2018 Jan 01.
    1. DSouza AM
    2. Abidin AZ
    3. Chockanathan U
    4. Leistritz L
    5. Wismüller A
    Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate; Proc. of SPIE - the International Society for Optical Engineering; Vol 10578. 2018 Jan 01.

View All Publications

Contact Us

  Wismüller Lab
601 Elmwood Ave, Box 608
Rochester, NY 14642