Peter Bajcsy

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 19

Top Topics

Transfer Learning

Top Venues

Publications

Peter Bajcsy, Maxime Bros
Interactive Simulations of Backdoors in Neural Networks. CoRR (2024)
Semanti Basu, Peter Bajcsy, Thomas E. Cleveland IV, Manuel J. Carrasco, R. Iris Bahar
LipoPose: Adapting Cellpose to Lipid Nanoparticle Segmentation. BIOIMAGING (2023)
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) (2023)
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)
Peter Bajcsy, Michael Majurski, Thomas E. Cleveland IV, Manuel Carrasco, Walid Keyrouz
Characterization of AI Model Configurations for Model Reuse. ECCV Workshops (4) (2022)
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 (2022)
Peter Bajcsy, Michael Majurski
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks. CoRR (2021)
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)
Peter Bajcsy, Nicholas J. Schaub, Michael Majurski
Neural Network Calculator for Designing Trojan Detectors. CoRR (2020)
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)
Marcin Kociolek, Peter Bajcsy, Mary Brady, Antonio Cardone
Interpolation-Based Gray-Level Co-Occurrence Matrix Computation for Texture Directionality Estimation. SPA (2018)
Petru Manescu, Young Jong Lee, Charles Camp, Marcus Cicerone, Mary Brady, Peter Bajcsy
Accurate and interpretable classification of microspectroscopy pixels using artificial neural networks. Medical Image Anal. 37 (2017)
Peter Bajcsy, Soweon Yoon, Stephen J. Florczyk, Nathan Hotaling, Mylene Simon, Piotr M. Szczypinski, Nicholas Schaub, Carl G. Simon, Mary Brady, Ram D. Sriram
Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images. BMC Bioinform. 18 (1) (2017)
Peter Bajcsy, Soweon Yoon, Mylene Simon, Mary Brady, Ram D. Sriram, Nathan Hotaling, Nicholas Schaub, Carl G. Simon, Piotr M. Szczypinski, Stephen J. Florczyk
Modeling, validation and verification of cell-scaffold contact measurements over terabyte-sized 3D image collection. IEEE BigData (2016)
Mylene Simon, Joe Chalfoun, Mary Brady, Peter Bajcsy
Do we trust image measurements? Variability, accuracy and traceability of image features. IEEE BigData (2016)
Michael Majurski, Joe Chalfoun, Steven P. Lund, Peter Bajcsy, Mary Brady
Methodology for Increasing the Measurement Accuracy of Image Features. CVPR Workshops (2016)
Peter Bajcsy, Antoine Vandecreme, Julien Amelot, Joe Chalfoun, Michael Majurski, Mary Brady
Enabling Stem Cell Characterization from Large Microscopy Images. Computer 49 (7) (2016)
Peter Bajcsy, Antonio Cardone, Joe Chalfoun, Michael Halter, Derek Juba, Marcin Kociolek, Michael Majurski, Adele P. Peskin, Carl G. Simon, Mylene Simon, Antoine Vandecreme, Mary Brady
Survey statistics of automated segmentations applied to optical imaging of mammalian cells. BMC Bioinform. 16 (2015)
Joe Chalfoun, Michael Majurski, Timothy Blattner, Walid Keyrouz, Peter Bajcsy, Mary Brady
MIST: Microscopy Image Stitching Tool. BIBM (2015)
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)
Adele P. Peskin, Steven P. Lund, Ya-Shian Li-Baboud, Michael Halter, Anne L. Plant, Peter Bajcsy
Automated ranking of stem cell colonies by translating biological rules to computational models. BCB (2014)
Peter Bajcsy, Phuong Nguyen, Antoine Vandecreme, Mary Brady
Spatial computations over terabyte-sized images on hadoop platforms. IEEE BigData (2014)
Peter Bajcsy, Antoine Vandecreme, Mary Brady
Re-projection of terabyte-sized images. IEEE BigData (2013)
Kenton McHenry, Peter Bajcsy, Mike Frogley, Rob Kooper
Tele-immersive environments for rehabilitation activities: an empirical study on proprioception. Multidimens. Syst. Signal Process. 24 (2) (2013)
Peter Bajcsy, Antoine Vandecreme, Julien Amelot, Phuong Nguyen, Joe Chalfoun, Mary Brady
Terabyte-sized image computations on Hadoop cluster platforms. IEEE BigData (2013)
Peter Bajcsy, Joe Chalfoun, Mary Brady
How to select microscopy image similarity metrics? BCB (2012)
Kenton McHenry, Rob Kooper, Michal Ondrejcek, Luigi Marini, Peter Bajcsy
A Mosaic of Software. eScience (2011)
Alhaad Gokhale, Peter Bajcsy
Automated classification of quilt photographs into crazy and non-crazy. Computer Vision and Image Analysis of Art (2011)
Rob Kooper, Peter Bajcsy, Néstor Hernández
Stitching giga pixel images using parallel computing. Parallel Processing for Imaging Applications (2011)
Joe Futrelle, Jeff Gaynor, Joel Plutchak, James D. Myers, Robert E. McGrath, Peter Bajcsy, Jason Kastner, Kailash Kotwani, Jong Sung Lee, Luigi Marini, Rob Kooper, Terry McLaren, Yong Liu
Semantic middleware for e-Science knowledge spaces. Concurr. Comput. Pract. Exp. 23 (17) (2011)
Tenzing Shaw, Peter Bajcsy
Automation of digital historical map analyses. Computer Vision and Image Analysis of Art (2011)
Kenton McHenry, Michal Ondrejcek, Luigi Marini, Rob Kooper, Peter Bajcsy
Towards a Universal Viewer for Digital Content. ICCS (2011)
Michael Simeone, Jennifer Guiliano, Rob Kooper, Peter Bajcsy
Digging into data using new collaborative infrastructures supporting humanities-based computer science research. First Monday 16 (5) (2011)
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)
Guochun Shi, Volodymyr V. Kindratenko, Rob Kooper, Peter Bajcsy
GPU acceleration of an image characterization algorithm for document similarity analysis. AICCSA (2011)
Rob Kooper, Peter Bajcsy
Computational scalability of large size image dissemination. Parallel Processing for Imaging Applications (2011)
Abhishek Singh, Barbara S. Minsker, Peter Bajcsy
Image-Based Machine Learning for Reduction of User Fatigue in an Interactive Model Calibration System. J. Comput. Civ. Eng. 24 (3) (2010)
Rahul Malik, Peter Bajcsy
Understanding the impact of visual quality parameters on activities in immersive systems. VECIMS (2010)
Peter Bajcsy, Rob Kooper, Sang-Chul Lee
Understanding documentation and reconstruction requirements for computer-assisted decision processes. Decis. Support Syst. 50 (1) (2010)
Rahul Malik, Melissa Dobosh, Marshall Scott Poole, Kenton McHenry, Peter Bajcsy
Evaluating the effectiveness of communication media on remote collaboration. VECIMS (2010)
Suk-Kyu Lee, Kenton McHenry, Rob Kooper, Peter Bajcsy
Characterizing human subjects in real-time and three-dimensional spaces by integrating thermal-infrared and visible spectrum cameras. ICME (2009)
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 (2009)
Kenton McHenry, Rob Kooper, Peter Bajcsy
Towards a Universal, Quantifiable, and Scalable File Format Converter. eScience (2009)
Rahul Malik, Peter Bajcsy
Optimal stereo camera placement under spatially varying resolution requirements. IMMERSCOM (2009)
Joe Futrelle, Jeff Gaynor, Joel Plutchak, James D. Myers, Robert E. McGrath, Peter Bajcsy, Jason Kastner, Kailash Kotwani, Jong Sung Lee, Luigi Marini, Rob Kooper, Terry McLaren, Yong Liu
Semantic middleware for e-science knowledge spaces. MGC@Middleware (2009)
Michal Ondrejcek, Jason Kastner, Rob Kooper, Peter Bajcsy
A Methodology for File Relationship Discovery. eScience (2009)
Peter Bajcsy, Kenton McHenry, Hye-Jung Na, Rahul Malik, Andrew Spencer, Suk-Kyu Lee, Rob Kooper, Mike Frogley
Immersive environments for rehabilitation activities. ACM Multimedia (2009)
Sang-Chul Lee, Peter Bajcsy
Trajectory fusion for three-dimensional volume reconstruction. Comput. Vis. Image Underst. 110 (1) (2008)
Rob Kooper, Andrew Shirk, Sang-Chul Lee, Amy Lin, Robert Folberg, Peter Bajcsy
3D medical volume reconstruction using web services. Comput. Biol. Medicine 38 (4) (2008)
William McFadden, Kenton McHenry, Rob Kooper, Michal Ondrejcek, Alex Yahja, Peter Bajcsy
Advanced Information Systems for Archival Appraisals of Contemporary Documents. eScience (2008)
Sang-Chul Lee, William McFadden, Peter Bajcsy
Text, Image and Vector Graphics Based Appraisal of Contemporary Documents. ICMLA (2008)
Michal Ondrejcek, Rob Kooper, Peter Bajcsy
Advanced Information Delivery System for the Abraham Lincoln Writings. eScience (2008)
Joe Futrelle, Jeff Gaynor, Joel Plutchak, Peter Bajcsy, Jason Kastner, Kailash Kotwani, Jong Sung Lee, Luigi Marini, Rob Kooper, Robert E. McGrath, Terry McLaren, Yong Liu, James D. Myers
Knowledge Spaces and Scientific Data. eScience (2008)
Miles J. Johnson, Peter Bajcsy
Integration of thermal and visible imagery for robust foreground detection in tele-immersive spaces. FUSION (2008)
Luigi Marini, Rob Kooper, Peter Bajcsy, James D. Myers
Publishing Active Workflows to Problem-Focused Web Spaces. eScience (2008)
Sang-Chul Lee, Peter Bajcsy
Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes. ICMLA (2007)
Sang-Chul Lee, Peter Bajcsy
Automated feature-based alignment for 3D volume reconstruction of CLSM imagery. Medical Imaging: Image Processing (2006)
Sang-Chul Lee, Peter Bajcsy, Amy Lin, Robert Folberg
Accuracy Evaluation for Region Centroid-Based Registration of Fluorescent CLSM Imagery. EURASIP J. Adv. Signal Process. 2006 (2006)
Sang-Chul Lee, Peter Bajcsy
Spatial Intensity Correction of Fluorescent Confocal Laser Scanning Microscope Images. CVAMIA (2006)
Peter Bajcsy, Sang-Chul Lee, David Clutter
Supporting registration decisions during 3D medical volume reconstructions. Medical Imaging: Image Processing (2006)
Sang-Chul Lee, Peter Bajcsy
Three-Dimensional Volume Reconstruction Based on Trajectory Fusion from Confocal Laser Scanning Microscope Images. CVPR (2) (2006)
Peter Bajcsy
An Overview of DNA Microarray Grid Alignment and Foreground Separation Approaches. EURASIP J. Adv. Signal Process. 2006 (2006)
Barbara S. Minsker, Jim Myers, Mark Marikos, Tim Wentling, Steve Downey, Yong Liu, Peter Bajcsy, Rob Kooper, Luigi Marini, Noshir S. Contractor, Harold D. Green, Joe Futrelle
Poster reception - NCSA environmental cyberinfrastructure demonstration project: creating cyberenvironments for environmental engineering and hydrological science communities. SC (2006)
Peter Bajcsy
An Overview of DNA Microarray Image Requirements for Automated Processing. CVPR Workshops (2005)
Sang-Chul Lee, Peter Bajcsy
Feature based registration of fluorescent LSCM imagery using region centroids. Medical Imaging: Image Processing (2005)
Rob Kooper, Andrew Shirk, Sang-Chul Lee, Amy Lin, Robert Folberg, Peter Bajcsy
3D Medical Volume Reconstruction Using Web Services. ICWS (2005)
Sang-Chul Lee, Peter Bajcsy
Multisensor raster and vector data fusion based on uncertainty modeling. ICIP (2004)
Peter Bajcsy
Gridline: automatic grid alignment DNA microarray scans. IEEE Trans. Image Process. 13 (1) (2004)
Peter Bajcsy, Narendra Ahuja
Hierarchical Texture Segmentation. ACCV (2) (1998)
Peter Bajcsy, Narendra Ahuja
Location- and Density-Based Hierarchical Clustering Using Similarity Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20 (9) (1998)
Peter Bajcsy, Narendra Ahuja
A New Framework for Hierarchical Segmentation Using Similarity Analysis. Scale-Space (1997)
Peter Bajcsy, Narendra Ahuja
Uniformity and homogeneity-based hierarchical clustering. ICPR (1996)