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biomedical imaging, image processing, machine/deep learning
I am the Robert Herbold Professor of Biomedical Engineering and Radiology, �ǿմ�ý. My research focuses on biomedical image analysis including quantification and visualization of disease in clinical and preclinical models. Tools used include image registration, image segmentation, machine learning, etc. Particularly to serve cancer and stem cell imaging, I developed the cryo-imaging system and software, which enables 3D, color anatomical and fluorescence molecular, microscopic imaging of vast tissues as large as a mouse. This has more recently been extended in the creation of 3D-MUSE systems. Recent clinical imaging work has focused on advanced cardiovascular image analysis of intravascular OCT and CT. I have been PI on numerous federal and state grant awards. I have over 185 peer-reviewed publications and innumerable proceedings papers and abstracts. I serve on editorial boards, NIH study sections, and conference organizing committees. I have had substantial, continuous funding throughout my career. In addition, I have been PI on major development grants, PI on the doctoral student NIH T32 training grant (Interdisciplinary Biomedical Imaging), and advisor to numerous graduate and undergraduate students, all of whom are quite exceptional. I am a founder of BioInVision, Inc., a company that is commercializing cryo-imaging and clinical cardiovascular applications.