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.

Research Interests

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