Home/John Galeotti

John Galeotti

Systems Scientist
Email: jgaleott@andrew.cmu.edu
Office: NSH A525
Phone: (412) 559-9351

CV, Research Statement, and Teaching Statement

I am a Senior Project Scientist and Adjunct Assistant Professor at Carnegie Mellon University (CMU), directing the Biomedical Image Guidance Laboratory and teaching an internationally recognized graduate course on medical image analysis algorithms. I have a Ph.D. in Robotics from CMU’s School of Computer Science, where my primary appointment is in the Robotics Institute (RI) and my adjunct (with advising privileges) is in Biomedical Engineering (BME). My B.S. and M.S. are in ECE, and I have an additional adjunct assistant professor appointment (also with advising privileges) in Bioengineering at the neighboring University of Pittsburgh (U. Pitt.).

Through my interdisciplinary research, collaborations, and teaching experience, I have been continually working to improve patient outcomes by improving the tools of science and medicine, with an emphasis on applying novel, real-time computer-controlled optics, image analysis, and visualization approaches to build and control unique experimental systems for image-guided interventions, diagnosis, and biomedical research. Biomedical scientists have expressed specific interest in using my research to enable in-vivo measurements of nerve regrowth, to enable harvesting and transplantation of ocular stem cells, and to study yet inaccessible tissue biomechanics to better understand developmental morphogenesis and organogenesis, cancer dormancy and reemergence, and tissue engineering scaffold design.

I am a significant contributor to the open-source Insight Segmentation and Registration Toolkit (ITK) for biomedical image analysis from the National Library of Medicine (NLM). I worked as part of the initial ITK Consortium, and I teach the longest continually running course in ITK, “Methods in Medical Image Analysis,” which is cross-listed in CMU’s RI, BME, and ECE departments, as well as at U. Pitt. For my teaching I have received external funding, two teaching awards, and the honor of mentoring another professor this spring. My public course website has been used as a basis for several similar classes around the world.\

My long-term goal is to invent fundamentally new optical imaging modalities to see things that have never been seen before, with corresponding breakthroughs in the analysis and visualization of such images.

Publications

Displaying 13 Publications
PalmSight: an assistive technology helping the blind to locate and grasp objects
Zhixuan Yu, Samantha J. Horvath, Alexandra Delazio, Jihang Wang, Rebeka Almasi, Roberta Klatzky, John Galeotti and George D. Stetten

Tech. Report, CMU-RI-TR-16-59, Robotics Institute, Carnegie Mellon University, December, 2016
Psychophysical Evaluation of Haptic Perception Under Augmentation by a Handheld Device
Bing Wu, Roberta Klatzky, Randy Lee, Vikas Revanna Shivaprabhu, John Galeotti, Mel Siegel, Joel Schuman, Ralph Hollis and George D. Stetten

Journal Article, Carnegie Mellon University, Human Factors: The Journal of the Human Factors and Ergonomics Society, September, 2014
FingerSight: Fingertip Haptic Sensing of the Visual Environment
Samantha J. Horvath, John Galeotti, Bing Wu, Roberta Klatzky, Mel Siegel and George D. Stetten

Journal Article, Carnegie Mellon University, IEEE Journal of Translational Engineering in Health and Medicine, March, 2014
Graphics Processor Unit (GPU) Accelerated Shallow Transparent Layer Detection in Optical Coherence Tomographic (OCT) images for real-time Corneal Surgical Guidance
Tejas Sudharshan Mathai, John Galeotti, Samantha J. Horvath and George D. Stetten

Journal Article, AECAI / MICCAI, Boston MA, 2014, to be published in Lecture Notes in Computer Science, January, 2014
Descending Variance Graphs for Segmenting Neurological Structures
George D. Stetten, Cindy Wong, Vikas Revanna Shivaprabhu, Ada Zhang, Samantha J. Horvath, Jihang Wang, John Galeotti, Vijay Gorantla and Howard Aizenstein

Conference Paper, Carnegie Mellon University, IEEE Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging, Philadelphia PA., July, 2013
Real-Time Registration of Video with Ultrasound using Stereo Disparity
Jihang Wang, Samantha J. Horvath, George D. Stetten, Mel Siegel and John Galeotti

Journal Article, Carnegie Mellon University, SPIE Medical Imaging, February, 2012
ProbeSight: Video Cameras on an Ultrasound Probe for Computer Vision of the Patient’s Exterior
John Galeotti, Jihang Wang, Samantha J. Horvath, Mel Siegel and George D. Stetten

Conference Paper, Carnegie Mellon University, Image Guided Therapy Workshop, October, 2011
Fingersight: Fingertip Visual Haptic Sensing and Control
George D. Stetten, Roberta Klatzky, B. Nichol, John Galeotti, K. Rockot, K. Zawrotny, D. Weiser and N. Sendgikoski and

Conference Paper, Carnegie Mellon University, IEEE International Workshop on Haptic Audio Visual Environments and their Applications (HAVE 2007), October, 2007
Shells and Spheres: A Framework for Variable Scale Statistical Image Analysis
Constantine Aaron Cois, Ken Rockot, John Galeotti, Robert Joseph Tamburo and George D. Stetten

Tech. Report, CMU-RI-TR-04-19, Robotics Institute, Carnegie Mellon University, April, 2006
Creation and Demonstration of a Framework for Handling Paths in ITK
John Galeotti and George D. Stetten

Journal Article, Carnegie Mellon University, MICCAI 2005 Workshop on Open-Source Software issue of The Insight Journal, August, 2005
N-Dimensional Path Optimization: The Implementation of a Novel Algorithm in ITK
John Galeotti and George D. Stetten

Journal Article, Carnegie Mellon University, Technical report in special MICCAI 2005 Workshop on Open-Source Software issue of The Insight Journal, August, 2005
Extending the Sonic Flashlight to Real Time Tomographic Holography
Andreas Nowatzyk, Damion Michael Shelton, John Galeotti and George D. Stetten

Conference Paper, Carnegie Mellon University, AMI-ARCS 2004 Workshop for Augmented Environments for Medical Imaging including Augmented Reality in Computer-aided Surgery (AMI-ARCS), September, 2004
Enhanced snake based segmentation of vocal folds
Sonya Allin, John Galeotti, George D. Stetten and S.H. Dailey

Conference Paper, Carnegie Mellon University, 2004 IEEE International Symposium on Biomedical Imaging: Macro to Nano, Vol. 1, pp. 812 - 815, April, 2004
Mailing Address:

Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

2017-11-10T15:31:19+00:00