Scholar
John M. Galeotti
Google Scholar ID: eTmKe1oAAAAJ
Associate Professor of Robotics and Biomedical Engineering, Carnegie Mellon University
Citations & Impact
Citations
506
H-index
12
i10-index
14
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Significant contributor to the open-source Insight Segmentation and Registration Toolkit (ITK); his research has been of particular interest to biomedical scientists for enabling in-vivo measurements of nerve regrowth, harvesting and transplantation of ocular stem cells, and studying yet inaccessible tissue biomechanics.
Research Experience
- Leads the Biomedical Image Guidance Laboratory, engaging in interdisciplinary research and collaborations, particularly in applying new, real-time computer-controlled optical techniques, image analysis, and visualization methods to build and control unique experimental systems for image-guided interventions, diagnosis, and biomedical research.
Education
- He holds a Ph.D. in Robotics and B.S. and M.S. degrees in Computer Engineering. He is primarily affiliated with the Robotics Institute at Carnegie Mellon University (CMU) and also serves as an Adjunct Assistant Professor in Biomedical Engineering (BME).
Background
- A Systems Scientist and Adjunct Assistant Professor, focusing on the Biomedical Image Guidance Laboratory and teaching an internationally recognized graduate course on medical image analysis algorithms. His primary research interests include improving the tools of science and medicine through novel, real-time computer-controlled optics, image analysis, and visualization approaches.
Co-authors