Axel W. E. Wismüller, M.D., Ph.D University of Rochester
Principal Investigatorwork Box 648 Rochester NY office: MCA 2-2-214 p (585) 613-2399 Axel_Wismueller@urmc.rochester.edu Research Focus: Intelligent image acquisition and analysis systems in biomedicine
Postdoctoral Fellowwork Rochester NY email@example.com Research Focus: A Framework for Computer-Aided Diagnosis with Novel Computational Methods for Characterizing Healthy and Pathological Soft Tissue Patterns on Medical Images
Graduate Studentwork Rochester NY firstname.lastname@example.org Research Focus: Novel methods for image/time series analysis with focus on developing novel biomarkers for neurological disorders
Graduate Studentwork Rochester NY email@example.com Research Focus: Characterization of trabecular bone structure on quantitative CT to compliment conventional DXA-derived measures of bone mineral density for improved fracture risk estimation.
Graduate Studentwork Rochester NY firstname.lastname@example.org Research Focus: Evaluation of different non-metric clustering methods for visualization of functional connectivity in the human brain on functional MRI
Graduate Studentwork Rochester NY email@example.com Research Focus: Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting state fMRI
Graduate Studentwork Rochester NY Research Focus: Parallelization of 3D visualization of large-scale functional integration in the human brain on resting-state fMRI data, using effective connectivity analysis and non-metric clustering, by means of Graphics Processing Units (GPUs)
- Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography.Med Biol Eng Comput. 53, 1211-20. (2015 Nov 01).
- Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography.PLoS One. 10, e0117157. (2015 Jan 01).
- Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.J Electron Imaging. 23, 013013. (2014 Feb 04).