Peter Bajcsy

Information Systems Group
peter.bajcsy@nist.gov
(301) 975-2958

Education

Ph.D., University of Illinois at Urbana-Champaign, 1997

M.S., University of Pennsylvania, 1994

Research Interests:  Advanced sensors and imaging, image processing, computer and machine vision, data mining and pattern recognition.

Research Projects:  Biosciences and Laboratory Diagnosis

Publications

Journal publications:

  • P. Bajcsy, S. Yoon, S. J. Florczyk, N. Hotaling, M. Simon, P. Szczypinski, N. Schaub, C. G. Simon Jr., M. C. Brady, and R. D. Sriram, “Modeling, Validation and Verification of Three-Dimensional Cell-Scaffold Contacts from Terabyte-sized Images,” BMC Bioinformatics, November 2017, 18:526.

  • B. A. Pazmino-Betancourt, S. J. Florczyk, M. Simon, D. Juba, J. F. Douglas, W. Keyrouz, P. Bajcsy, C. Lee and C. G. Simon, Jr. , “Effect of the Scaffold Microenvironment on Cell Polarizability and Capacitance Determined by Probabilistic Computations,” Biomedical Materials, BMM-101918.R1

  • S. J. Florczyk, M. Simon, D. Juba, P. S. Pine, S. Sarkar, D. Chen, P. J. Baker, S. Bodhak, M. C. Brady, Peter Bajcsy, and C. G. Simon, Jr., “A Bioinformatics 3D Cellular Morphotyping Strategy for Assessing Biomaterial Scaffold Niches,” ACS Biomaterials Science & Engineering, August 2017.

  • J. Chalfoun, M. Majurski, T. Blattner, W. Keyrouz, P. Bajcsy, and M. C. Brady, “MIST Accurate and Scalable Microscopy Image Stitching Method with Stage Modeling and Error Minimization”, Nature Scientific Reports, July 2017.

  • P. Manescu, Y. Lee, C. Camp, M. Cicerone, M. Brady, and P. Bajcsy, “Accurate and Interpretable Classification of Microspectroscopy Pixels Using Artificial Neural Networks,” Elsevier Medical Image Analysis, Volume 37, April 2017, Pages 37–45.
  • A. Vandecreme, M. Majurski, J. Chalfoun, K. Scott, J-H. J. Scott, M. Brady, and P. Bajcsy, “From Image Tiles to Web-Based Interactive Measurements in One Stop,” Microscopy Today, Microscopy Today, 25:1, January 2017.
  • P. Bajcsy, A. Vandecreme, J. Amelot, J. Chalfoun, M. Majurski, and M. Brady, "Enabling Stem Cell Characterization from Large Coverage Microscopy,” IEEE Computer, 2016: vol. 49, no. 7, pp. 70-79.

More journal publications .... 

Books and Book Chapters:

  • P. Bajcsy, J. Chalfoun, M. Simon, “Web Microanalysis of Big Image Data,” Springer-Verlag International, February 2018, p. 197.
  • P. Bajcsy, K. McHenry, and R. Kooper, "Interaction between Objects Born in Digital and Physical Spaces," in in Pervasive Adaptation book on the Next Generation Pervasive Computing Research Agenda, A. Ferscha, Ed. Seattle, Washington: A book by Th. Sc. Community, Johannes Kepler University Linz, 2011, p. 80. 
  • W. McFadden, R. Kooper, S.-C. Lee, and P. Bajcsy, "Comprehensive and Scalable Appraisals of Contemporary Documents," in in Applications of Machine Learning, Y. Zhang, Ed. IN-TECH, 2010, pp. 87–108. 
  • P. Bajcsy and R. Kooper, "Integration of Data Across Disparate Sensing Systems Over Both Time and Space to Design Smart Environments," in in Sustainable Radio Frequency Identification Solutions, no. 1, C. Turcu, Ed. IN-TECH, 2010, pp. 281–306.

More books and book chapters ....    

Conference Papers:

  • E. Kwee, A. Peterson, J. Stinson, M. Halter, L. Yu, M. Majurski, J. Chalfoun, P. Bajcsy, and J. Elliott, “Large Field of View Quantitative Phase Imaging of Induced Pluripotent Stem Cells and Optical Pathlength Reference Materials,” Quantitative Phase Imaging IV, SPIE 2018, 28 - 30 January 2018.

  • N. Hotaling, M. Simon, M. Ouladi, N. Schaub, T. Uddin, P. Manickam, D. Ortolan, H. Zhao, J. Chalfoun, P. Bajcsy, and K. Bharti, “REShAPE – A Cloud-Computing Based Cell Morphometry Analyzer for Development of a Release Criteria of Clinical Grade Retinal Pigment Epithelium,” Invest. Ophthalmol. Vis. Sci. 2017;58(8):396; The 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

  • M. Simon, J. Chalfoun, M. Brady, and P. Bajcsy, “Do We Trust Image Measurements? Variability, Accuracy and Traceability of Image Features,” IEEE International Conference on Big Data, Washington DC, December 5-8, 2016.
  • P. Bajcsy, A. Vandecreme, and M. Brady, “Interactive Web-based Spatio-Statistical Image Modeling from Gigapixel Images to Improve Discovery and Traceability of Published Statistical Models,” Microscopy and Microanalyses, Columbus, Ohio. July 24-28, 2016.
  • M. Majurski, J. Chalfoun, S. Lund, P. Bajcsy, and M. Brady, "Methodology for Increasing Image Feature Measurement Accuracy", CVPR Workshop entitled “Computer Vision for Microscopy Image Analysis”, July 1, 2016, Las Vegas, Nevada.

More conference papers ....  

 

Recent Presentations

2017:    

  • “Large Scale Microscopy Imaging for Precision Medicine,” Imaging for Precision Medicine Workshop, NIST Gaithersburg, May 3-4, 2017.

  • “Large Scale Imaging and Interactive Traceable Analyses,” National Geospatial Agency, Springfield, Virginia, May 19, 2017.

  • “Measurements Over Terascale Microscopy Images, “NIST Software and Systems Division, ITL NIST, Gaithersburg, June 27, 2017.

  • “Enabling Stem Cell Characterization from Large Microscopy Images,” Computer Vision in Microscopy Image Analysis (CVMI) at CVPR 2017, Honolulu, HI, July 21, 2017.

  • “Does every image pixel matter in TB-sized images?” SciX conference organized by the Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), October 8-13, 2017 Reno, NV.

2010 - 2016 Presentations ....  


Quotes About My Work


Teaching Experience


Community Services

Awards

NIST Material Measurement Laboratory (MML) Accolade 2015, Cross-division/Cross-OU Teamwork; June 17, 2015.

Department of Commerce Bronze Medal Award, December 13, 2017.

Publications

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Created June 19, 2018