Peter Bajcsy

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.

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.

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.

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.

Quotes About My Work

The International Science Grid This Week (iSGTW), "Feature - Digital visual inspection," by Miriam Boon, Issue 203: iSGTW 1 December 2010; URL: http://www.isgtw.org/feature/digital-visual-inspection

The New York Times, "Digital Keys for Unlocking the Humanities' Riches," By Patricia Cohen Published: November 16, 2010; on-line http://www.nytimes.com/2010/11/17/arts/17digital.html?_r=1

The New York Times, "From 'Avatar' Playbook, Athletes Use 3-D Imaging," by James Glanz and Alan Schwarz, Published: October 2, 2010 on-line at http://www.nytimes.com/2010/10/03/sports/03reality.html?_r=1, and October 3, 2010, (the Sunday issue) on page A1 of the New York edition of NY Times.

Futurity, "Real-time action in a virtual world" by Erika Strebel-Illinois posted on Thursday, December 17, 2009 15:57; see http://futurity.org/top-stories/real-time-action-in-a-virtual-world/

NCSA Headline News, "NCSA researchers create interactive virtual learning space," March 25, 2009, http://www.ncsa.uiuc.edu/News/09/0325NCSAresearchers.html

HPCWire, The Next Big Thing in Humanities, Arts and Social Science Computing: 18thConnect by Kevin Franklin and Karen Rodriguez, November 24, 2008, http://www.hpcwire.com/features/The_Next_Big_Thing_in_Humanities_Arts_and_Social_Science_Computing_18thConnect_35010199.html

NCSA Headline News, "Students embark on Google Summer of Code projects with NCSA," June 16-17, 2008, SupercomputingOnline.com: http://www.supercomputingonline.com/print.php?sid=15764

NCSA Headline News, "3D volume reconstruction technique improves accuracy and performance", December 6, 2006, http://access.ncsa.uiuc.edu/Stories/nuggets/uveal.html

Talbot D. "The Fading Memory of the State," MIT Technology Review, July 2005, TechnologyReview.com, the article is published and web accessible at: http://www.technologyreview.com/articles/05/07/issue/feature_memory.asp

Publications

Exact Tile-Based Segmentation Inference for Images Larger than GPU Memory

June 3, 2021

Author(s)

Michael P. Majurski, Peter Bajcsy

We address the problem of performing exact (tiling-error free) out-of-core semantic segmentation inference of arbitrarily large images using fully convolutional

Designing Trojan Detectors in Neural Networks Using Interactive Simulations

February 20, 2021

Author(s)

Peter Bajcsy, Nicholas J. Schaub, Michael P. Majurski

This paper addresses the problem of designing trojan detectors in neural networks (NNs) using interactive simulations. Trojans in NNs are defined as triggers in

Approaches to Training Multi-Class Semantic Image Segmentation of Damage in Concrete

May 14, 2020

Author(s)

Peter Bajcsy, Steven B. Feldman, Michael P. Majurski, Kenneth A. Snyder, Mary C. Brady

This paper addresses the problem of creating a large quantity of high-quality training image segmentation masks from scanning electron microscopy (SEM) images

Interoperability of Web Computational Plugins for Large Microscopy Image Analyses

March 20, 2020

Author(s)

Peter Bajcsy

This NIST internal report provides a summary of the workshop on Interoperability of Web Computational Plugins for Large Microscopy Image Analyses. The workshop

Comparison of Artificial Intelligence based approaches to cell function prediction

July 11, 2019

Author(s)

Sarala Padi, Petru S. Manescu, Nicholas Schaub, Nathan Hotaling, Carl G. Simon Jr., Peter Bajcsy

Predicting Retinal Pigment Epithelium (RPE) cell functions in stem cell implants using non-invasive bright field microscopy imaging is a critical task for

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Peter Bajcsy (Fed)

Publications

Recent Presentations

Quotes About My Work

Teaching Experience

Community Services

Awards

Publications

Exact Tile-Based Segmentation Inference for Images Larger than GPU Memory

Designing Trojan Detectors in Neural Networks Using Interactive Simulations

Approaches to Training Multi-Class Semantic Image Segmentation of Damage in Concrete

Interoperability of Web Computational Plugins for Large Microscopy Image Analyses

Comparison of Artificial Intelligence based approaches to cell function prediction