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Peter Bajcsy
Person information
- affiliation: NIST, Gaithersburg, MD, USA
- affiliation (former): University of Illinois at Urbana-Champaign, Urbana, IL, USA
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2020 – today
- 2024
- [i5]Peter Bajcsy, Maxime Bros:
Interactive Simulations of Backdoors in Neural Networks. CoRR abs/2405.13217 (2024) - 2023
- [j16]M. Cyrus Daugherty, Victoria H. DiStefano, Jacob M. LaManna, David L. Jacobson, Paul A. Kienzle, Youngju Kim, Daniel S. Hussey, Peter Bajcsy
:
Assessment of Dose-Reduction Strategies in Wavelength-Selective Neutron Tomography. SN Comput. Sci. 4(5): 586 (2023) - [c51]Semanti Basu, Peter Bajcsy, Thomas E. Cleveland IV, Manuel J. Carrasco
LipoPose: Adapting Cellpose to Lipid Nanoparticle Segmentation. BIOIMAGING 2023: 115-123 - 2022
- [c50]Peter Bajcsy
Characterization of AI Model Configurations for Model Reuse. ECCV Workshops (4) 2022: 454-469 - [c49]Victoria H. DiStefano, Jacob M. LaManna, David L. Jacobson, Paul A. Kienzle, Daniel S. Hussey, Peter Bajcsy:
Assessment of Dose Reduction Strategies in Wavelength-selective Neutron Tomography. IMPROVE 2022: 66-77 - [i4]Peter Bajcsy, Antonio Cardone, Chenyi Ling, Philippe Dessauw, Michael Majurski, Timothy Blattner, Derek Juba, Walid Keyrouz:
AI Model Utilization Measurements For Finding Class Encoding Patterns. CoRR abs/2212.06576 (2022) - 2021
- [c48]Mylene Simon, Sunny Yu, Jayapriya Nagarajan, Peter Bajcsy, Nicholas J. Schaub, Mohamed Ouladi, Sudharsan Prativadi, Nathan Hotaling:
Quantifying Variability in Microscopy Image Analyses for COVID-19 Drug Discovery. CVPR Workshops 2021: 3801-3809 - [i3]Peter Bajcsy, Michael Majurski:
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks. CoRR abs/2101.12016 (2021) - 2020
- [i2]Peter Bajcsy, Nicholas J. Schaub, Michael Majurski:
Neural Network Calculator for Designing Trojan Detectors. CoRR abs/2006.03707 (2020)
2010 – 2019
- 2019
- [c47]Michael Majurski, Petru Manescu, Sarala Padi, Nicholas Schaub, Nathan Hotaling, Carl Simon Jr, Peter Bajcsy:
Cell Image Segmentation Using Generative Adversarial Networks, Transfer Learning, and Augmentations. CVPR Workshops 2019: 1114-1122 - 2018
- [c46]Marcin Kociolek
Interpolation-Based Gray-Level Co-Occurrence Matrix Computation for Texture Directionality Estimation. SPA 2018: 146-151 - 2017
- [j15]Peter Bajcsy
Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images. BMC Bioinform. 18(1): 526:1-526:23 (2017) - [j14]Petru Manescu, Young Jong Lee
Accurate and interpretable classification of microspectroscopy pixels using artificial neural networks. Medical Image Anal. 37: 37-45 (2017) - 2016
- [j13]Peter Bajcsy
Enabling Stem Cell Characterization from Large Microscopy Images. Computer 49(7): 70-79 (2016) - [c45]Mylene Simon, Joe Chalfoun, Mary Brady, Peter Bajcsy:
Do we trust image measurements? Variability, accuracy and traceability of image features. IEEE BigData 2016: 1474-1482 - [c44]Peter Bajcsy, Soweon Yoon, Mylene Simon, Mary Brady, Ram D. Sriram, Nathan Hotaling, Nicholas Schaub, Carl G. Simon, Piotr M. Szczypinski
Modeling, validation and verification of cell-scaffold contact measurements over terabyte-sized 3D image collection. IEEE BigData 2016: 3951-3953 - [c43]Michael Majurski, Joe Chalfoun, Steven P. Lund, Peter Bajcsy, Mary Brady:
Methodology for Increasing the Measurement Accuracy of Image Features. CVPR Workshops 2016: 1399-1407 - 2015
- [j12]Peter Bajcsy
Survey statistics of automated segmentations applied to optical imaging of mammalian cells. BMC Bioinform. 16: 330:1-330:28 (2015) - [c42]Joe Chalfoun, Michael Majurski, Timothy Blattner, Walid Keyrouz, Peter Bajcsy, Mary Brady:
MIST: Microscopy Image Stitching Tool. BIBM 2015: 1757 - 2014
- [c41]Adele P. Peskin, Steven P. Lund
Automated ranking of stem cell colonies by translating biological rules to computational models. BCB 2014: 13-22 - [c40]Julien Amelot, Peter Bajcsy, Anne L. Plant, Mary Brady:
Machine learning and interactive visualization applied to TB-sized images of stem cells. IEEE BigData 2014: 4 - [c39]Peter Bajcsy
Spatial computations over terabyte-sized images on hadoop platforms. IEEE BigData 2014: 816-824 - 2013
- [j11]Kenton McHenry, Peter Bajcsy
Tele-immersive environments for rehabilitation activities: an empirical study on proprioception. Multidimens. Syst. Signal Process. 24(2): 317-330 (2013) - [c38]Peter Bajcsy, Antoine Vandecreme, Mary Brady:
Re-projection of terabyte-sized images. IEEE BigData 2013: 1 - [c37]Peter Bajcsy, Antoine Vandecreme, Julien Amelot, Phuong Nguyen, Joe Chalfoun, Mary Brady:
Terabyte-sized image computations on Hadoop cluster platforms. IEEE BigData 2013: 729-737 - 2012
- [c36]Peter Bajcsy, Joe Chalfoun, Mary Brady:
How to select microscopy image similarity metrics? BCB 2012: 613-615 - 2011
- [j10]Joe Futrelle, Jeff Gaynor, Joel Plutchak, James D. Myers
Semantic middleware for e-Science knowledge spaces. Concurr. Comput. Pract. Exp. 23(17): 2107-2117 (2011) - [j9]Michael Simeone
Digging into data using new collaborative infrastructures supporting humanities-based computer science research. First Monday 16(5) (2011) - [c35]Guochun Shi, Volodymyr V. Kindratenko
GPU acceleration of an image characterization algorithm for document similarity analysis. AICCSA 2011: 209-216 - [c34]Peter Bajcsy, Rob Kooper, Luigi Marini, Tenzing Shaw, Anne D. Hedeman, Robert Markley, Michael Simeone, Natalie Hansen, Simon Appleford, Dean Rehberger, Justine Richardson, Matthew Geimer, Steve M. Cohen, Peter F. Ainsworth, Michael Meredith, Jennifer Guiliano:
Supporting Scientific Discoveries to Answer Art Authorship Related Questions Across Diverse Disciplines and Geographically Distributed Resources. DH 2011: 85-87 - [c33]Kenton McHenry, Rob Kooper
A Mosaic of Software. eScience 2011: 279-286 - [c32]Alhaad Gokhale, Peter Bajcsy:
Automated classification of quilt photographs into crazy and non-crazy. Computer Vision and Image Analysis of Art 2011: 78690M - [c31]Tenzing Shaw, Peter Bajcsy:
Automation of digital historical map analyses. Computer Vision and Image Analysis of Art 2011: 78690A - [c30]Rob Kooper
Computational scalability of large size image dissemination. Parallel Processing for Imaging Applications 2011: 78720N - [c29]Rob Kooper
Stitching giga pixel images using parallel computing. Parallel Processing for Imaging Applications 2011: 78720I - [c28]Kenton McHenry, Michal Ondrejcek
Towards a Universal Viewer for Digital Content. ICCS 2011: 732-739 - 2010
- [j8]Peter Bajcsy, Rob Kooper
Understanding documentation and reconstruction requirements for computer-assisted decision processes. Decis. Support Syst. 50(1): 316-324 (2010) - [j7]Abhishek Singh, Barbara S. Minsker
Image-Based Machine Learning for Reduction of User Fatigue in an Interactive Model Calibration System. J. Comput. Civ. Eng. 24(3): 241-251 (2010) - [c27]Rahul Malik, Peter Bajcsy:
Understanding the impact of visual quality parameters on activities in immersive systems. VECIMS 2010: 120-125 - [c26]Rahul Malik, Melissa Dobosh, Marshall Scott Poole, Kenton McHenry, Peter Bajcsy:
Evaluating the effectiveness of communication media on remote collaboration. VECIMS 2010: 130-135
2000 – 2009
- 2009
- [c25]Kenton McHenry, Rob Kooper
Towards a Universal, Quantifiable, and Scalable File Format Converter. eScience 2009: 140-147 - [c24]Michal Ondrejcek
A Methodology for File Relationship Discovery. eScience 2009: 193-200 - [c23]Suk-Kyu Lee, Kenton McHenry, Rob Kooper
Characterizing human subjects in real-time and three-dimensional spaces by integrating thermal-infrared and visible spectrum cameras. ICME 2009: 1708-1711 - [c22]Rahul Malik, Peter Bajcsy:
Optimal stereo camera placement under spatially varying resolution requirements. IMMERSCOM 2009: 3 - [c21]Joe Futrelle, Jeff Gaynor, Joel Plutchak
Semantic middleware for e-science knowledge spaces. MGC@Middleware 2009: 4 - [c20]Peter Bajcsy, Kenton McHenry, Hye-Jung Na, Rahul Malik, Andrew Spencer, Suk-Kyu Lee, Rob Kooper
Immersive environments for rehabilitation activities. ACM Multimedia 2009: 829-832 - [i1]James D. Myers, Joe Futrelle, Jeff Gaynor, Joel Plutchak, Peter Bajcsy, Jason Kastner, Kailash Kotwani, Jong Sung Lee, Luigi Marini, Rob Kooper, Robert E. McGrath, Terry McLaren, Alejandro Rodríguez, Yong Liu:
Embedding Data within Knowledge Spaces. CoRR abs/0902.0744 (2009) - 2008
- [j6]Rob Kooper
3D medical volume reconstruction using web services. Comput. Biol. Medicine 38(4): 490-500 (2008) - [j5]Sang-Chul Lee
Trajectory fusion for three-dimensional volume reconstruction. Comput. Vis. Image Underst. 110(1): 19-31 (2008) - [c19]Michal Ondrejcek
Advanced Information Delivery System for the Abraham Lincoln Writings. eScience 2008: 416-417 - [c18]William McFadden, Kenton McHenry, Rob Kooper
Advanced Information Systems for Archival Appraisals of Contemporary Documents. eScience 2008: 440-441 - [c17]Luigi Marini, Rob Kooper
Publishing Active Workflows to Problem-Focused Web Spaces. eScience 2008: 444-445 - [c16]Joe Futrelle, Jeff Gaynor, Joel Plutchak
Knowledge Spaces and Scientific Data. eScience 2008: 448-449 - [c15]Miles J. Johnson, Peter Bajcsy:
Integration of thermal and visible imagery for robust foreground detection in tele-immersive spaces. FUSION 2008: 1-8 - [c14]Sang-Chul Lee
Text, Image and Vector Graphics Based Appraisal of Contemporary Documents. ICMLA 2008: 729-734 - 2007
- [c13]Sang-Chul Lee, Peter Bajcsy:
Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes. ICMLA 2007: 524-529 - 2006
- [j4]Peter Bajcsy:
An Overview of DNA Microarray Grid Alignment and Foreground Separation Approaches. EURASIP J. Adv. Signal Process. 2006 (2006) - [j3]Sang-Chul Lee
Accuracy Evaluation for Region Centroid-Based Registration of Fluorescent CLSM Imagery. EURASIP J. Adv. Signal Process. 2006 (2006) - [c12]Sang-Chul Lee
Three-Dimensional Volume Reconstruction Based on Trajectory Fusion from Confocal Laser Scanning Microscope Images. CVPR (2) 2006: 2221-2228 - [c11]Sang-Chul Lee, Peter Bajcsy:
Spatial Intensity Correction of Fluorescent Confocal Laser Scanning Microscope Images. CVAMIA 2006: 143-154 - [c10]Sang-Chul Lee
Automated feature-based alignment for 3D volume reconstruction of CLSM imagery. Medical Imaging: Image Processing 2006: 61442Z - [c9]Peter Bajcsy, Sang-Chul Lee
Supporting registration decisions during 3D medical volume reconstructions. Medical Imaging: Image Processing 2006: 61443D - [c8]Barbara S. Minsker
Poster reception - NCSA environmental cyberinfrastructure demonstration project: creating cyberenvironments for environmental engineering and hydrological science communities. SC 2006: 161 - 2005
- [c7]Peter Bajcsy:
An Overview of DNA Microarray Image Requirements for Automated Processing. CVPR Workshops 2005: 147 - [c6]Rob Kooper
3D Medical Volume Reconstruction Using Web Services. ICWS 2005: 709-716 - [c5]Sang-Chul Lee
Feature based registration of fluorescent LSCM imagery using region centroids. Medical Imaging: Image Processing 2005 - [p1]Peter Bajcsy, Jiawei Han, Lei Liu, Jiong Yang:
Survey of Biodata Analysis from a Data Mining Perspective. Data Mining in Bioinformatics 2005: 9-39 - 2004
- [j2]Peter Bajcsy:
Gridline: automatic grid alignment DNA microarray scans. IEEE Trans. Image Process. 13(1): 15-25 (2004) - [c4]Sang-Chul Lee, Peter Bajcsy
Multisensor raster and vector data fusion based on uncertainty modeling. ICIP 2004: 3355-3358
1990 – 1999
- 1998
- [j1]Peter Bajcsy, Narendra Ahuja:
Location- and Density-Based Hierarchical Clustering Using Similarity Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(9): 1011-1015 (1998) - [c3]Peter Bajcsy, Narendra Ahuja:
Hierarchical Texture Segmentation. ACCV (2) 1998: 291-298 - 1997
- [b1]Peter Bajcsy:
Hierarchical Segmentation and Clustering Using Similarity Analysis. University of Illinois Urbana-Champaign, USA, 1997 - [c2]Peter Bajcsy, Narendra Ahuja:
A New Framework for Hierarchical Segmentation Using Similarity Analysis. Scale-Space 1997: 319-322 - 1996
- [c1]Peter Bajcsy, Narendra Ahuja:
Uniformity and homogeneity-based hierarchical clustering. ICPR 1996: 96-100
Coauthor Index
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last updated on 2024-06-19 21:00 CEST by the dblp team
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