Peter Bajcsy - RankMe

76 papers A* 1A 3B 5C 4Misc 1Journal 22Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Trojans in Artificial Intelligence (TrojAI) Final Report. CoRR Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski, Timothy Blattner, Derek Juba, Peter Bajcsy, Antonio Cardone, Philippe Dessauw, Alden Dima, Anthony J. Kearsley, Melinda Kleczynski, Joel Vasanth, Walid Keyrouz, Chace Ashcraft, Neil Fendley, Ted Staley, Trevor Stout, Josh Carney, Greg Canal, William Redman, Aurora Schmidt, Cameron Hickert, William Paul, Jared Markowitz, Nathan Drenkow, David Shriver, Marissa Connor, Keltin Grimes, Marco Christiani, Hayden Moore, Jordan Widjaja, Kasimir Gabert, Uma Balakrishnan, Satyanadh Gundimada, John Jacobellis, Sandya Lakkur, Vitus Leung, Jon Roose, Casey Battaglino, Farinaz Koushanfar, Greg Fields, Xihe Gu, Yaman Jandali, Xinqiao Zhang, Tara Javidi, Akash Vartak, Tim Oates, Ben Erichson, Michael Mahoney, Rauf Izmailov, Xiangyu Zhang, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Xiaofeng Wang, Haixu Tang, Di Tang, Xiaoyi Chen, Zihao Wang, Rui Zhu, Susmit Jha, Xiao Lin, Manoj Acharya, Weichao Zhou, Feisi Fu, Panagiota Kiourti, Chenyu Wang, Zijian Guo, H. M. Sabbir Ahmad, Wenchao Li, Chao Chen
2025	—	`conf`	Nanoparticle Diameter Measurements With Event Camera Tracking. CVPR Workshops Michael C. Daugherty, Matthew DiSalvo, Aaron Goldfain, Alexander Peterson, Edward Kwee, Thomas Germer, Gregory Cooksey, Jagat Budhathoki, Peter Bajcsy
2024	J	`jnl`	Interactive Simulations of Backdoors in Neural Networks. CoRR Peter Bajcsy, Maxime Bros
2023	J	`jnl`	Assessment of Dose-Reduction Strategies in Wavelength-Selective Neutron Tomography. SN Comput. Sci. M. Cyrus Daugherty, Victoria H. DiStefano, Jacob M. LaManna, David L. Jacobson, Paul A. Kienzle, Youngju Kim, Daniel S. Hussey, Peter Bajcsy
2023	—	`conf`	LipoPose: Adapting Cellpose to Lipid Nanoparticle Segmentation. BIOIMAGING Semanti Basu, Peter Bajcsy, Thomas E. Cleveland IV, Manuel J. Carrasco, R. Iris Bahar
2022	J	`jnl`	AI Model Utilization Measurements For Finding Class Encoding Patterns. CoRR Peter Bajcsy, Antonio Cardone, Chenyi Ling, Philippe Dessauw, Michael Majurski, Timothy Blattner, Derek Juba, Walid Keyrouz
2022	—	`conf`	Assessment of Dose Reduction Strategies in Wavelength-selective Neutron Tomography. IMPROVE Victoria H. DiStefano, Jacob M. LaManna, David L. Jacobson, Paul A. Kienzle, Daniel S. Hussey, Peter Bajcsy
2022	—	`conf`	Characterization of AI Model Configurations for Model Reuse. ECCV Workshops (4) Peter Bajcsy, Michael Majurski, Thomas E. Cleveland IV, Manuel J. Carrasco, Walid Keyrouz
2021	J	`jnl`	Baseline Pruning-Based Approach to Trojan Detection in Neural Networks. CoRR Peter Bajcsy, Michael Majurski
2021	—	`conf`	Quantifying Variability in Microscopy Image Analyses for COVID-19 Drug Discovery. CVPR Workshops Mylene Simon, Sunny Yu, Jayapriya Nagarajan, Peter Bajcsy, Nicholas J. Schaub, Mohamed Ouladi, Sudharsan Prativadi, Nathan Hotaling
2020	J	`jnl`	Neural Network Calculator for Designing Trojan Detectors. CoRR Peter Bajcsy, Nicholas J. Schaub, Michael Majurski
2019	—	`conf`	Cell Image Segmentation Using Generative Adversarial Networks, Transfer Learning, and Augmentations. CVPR Workshops Michael Majurski, Petru Manescu, Sarala Padi, Nicholas Schaub, Nathan Hotaling, Carl Simon Jr, Peter Bajcsy
2018	—	`conf`	Interpolation-Based Gray-Level Co-Occurrence Matrix Computation for Texture Directionality Estimation. SPA Marcin Kociolek, Peter Bajcsy, Mary Brady, Antonio Cardone
2017	J	`jnl`	Accurate and interpretable classification of microspectroscopy pixels using artificial neural networks. Medical Image Anal. Petru Manescu, Young Jong Lee, Charles Camp, Marcus Cicerone, Mary Brady, Peter Bajcsy
2017	J	`jnl`	Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images. BMC Bioinform. Peter Bajcsy, Soweon Yoon, Stephen J. Florczyk, Nathan Hotaling, Mylene Simon, Piotr M. Szczypinski, Nicholas Schaub, Carl G. Simon, Mary Brady, Ram D. Sriram
2016	—	`conf`	Do we trust image measurements? Variability, accuracy and traceability of image features. IEEE BigData Mylene Simon, Joe Chalfoun, Mary Brady, Peter Bajcsy
2016	J	`jnl`	Enabling Stem Cell Characterization from Large Microscopy Images. Computer Peter Bajcsy, Antoine Vandecreme, Julien Amelot, Joe Chalfoun, Michael Majurski, Mary Brady
2016	—	`conf`	Methodology for Increasing the Measurement Accuracy of Image Features. CVPR Workshops Michael Majurski, Joe Chalfoun, Steven P. Lund, Peter Bajcsy, Mary Brady
2016	—	`conf`	Modeling, validation and verification of cell-scaffold contact measurements over terabyte-sized 3D image collection. IEEE BigData Peter Bajcsy, Soweon Yoon, Mylene Simon, Mary Brady, Ram D. Sriram, Nathan Hotaling, Nicholas Schaub, Carl G. Simon, Piotr M. Szczypinski, Stephen J. Florczyk
2015	—	`conf`	MIST: Microscopy Image Stitching Tool. BIBM Joe Chalfoun, Michael Majurski, Timothy Blattner, Walid Keyrouz, Peter Bajcsy, Mary Brady
2015	J	`jnl`	Survey statistics of automated segmentations applied to optical imaging of mammalian cells. BMC Bioinform. 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
2014	—	`conf`	Automated ranking of stem cell colonies by translating biological rules to computational models. BCB Adele P. Peskin, Steven P. Lund, Ya-Shian Li-Baboud, Michael Halter, Anne L. Plant, Peter Bajcsy
2014	—	`conf`	Machine learning and interactive visualization applied to TB-sized images of stem cells. IEEE BigData Julien Amelot, Peter Bajcsy, Anne L. Plant, Mary Brady
2014	—	`conf`	Spatial computations over terabyte-sized images on hadoop platforms. IEEE BigData Peter Bajcsy, Phuong Nguyen, Antoine Vandecreme, Mary Brady
2013	—	`conf`	Re-projection of terabyte-sized images. IEEE BigData Peter Bajcsy, Antoine Vandecreme, Mary Brady
2013	J	`jnl`	Tele-immersive environments for rehabilitation activities: an empirical study on proprioception. Multidimens. Syst. Signal Process. Kenton McHenry, Peter Bajcsy, Mike Frogley, Rob Kooper
2013	—	`conf`	Terabyte-sized image computations on Hadoop cluster platforms. IEEE BigData Peter Bajcsy, Antoine Vandecreme, Julien Amelot, Phuong Nguyen, Joe Chalfoun, Mary Brady
2012	—	`conf`	How to select microscopy image similarity metrics? BCB Peter Bajcsy, Joe Chalfoun, Mary Brady
2011	—	`conf`	A Mosaic of Software. eScience Kenton McHenry, Rob Kooper, Michal Ondrejcek, Luigi Marini, Peter Bajcsy
2011	—	`conf`	Automated classification of quilt photographs into crazy and non-crazy. Computer Vision and Image Analysis of Art Alhaad Gokhale, Peter Bajcsy
2011	—	`conf`	Automation of digital historical map analyses. Computer Vision and Image Analysis of Art Tenzing Shaw, Peter Bajcsy
2011	—	`conf`	Computational scalability of large size image dissemination. Parallel Processing for Imaging Applications Rob Kooper, Peter Bajcsy
2011	J	`jnl`	Digging into data using new collaborative infrastructures supporting humanities-based computer science research. First Monday Michael Simeone, Jennifer Guiliano, Rob Kooper, Peter Bajcsy
2011	C	`conf`	GPU acceleration of an image characterization algorithm for document similarity analysis. AICCSA Guochun Shi, Volodymyr V. Kindratenko, Rob Kooper, Peter Bajcsy
2011	J	`jnl`	Semantic middleware for e-Science knowledge spaces. Concurr. Comput. Pract. Exp. 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
2011	—	`conf`	Stitching giga pixel images using parallel computing. Parallel Processing for Imaging Applications Rob Kooper, Peter Bajcsy, Néstor Hernández
2011	—	`conf`	Supporting Scientific Discoveries to Answer Art Authorship Related Questions Across Diverse Disciplines and Geographically Distributed Resources. DH 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
2011	Misc	`conf`	Towards a Universal Viewer for Digital Content. ICCS Kenton McHenry, Michal Ondrejcek, Luigi Marini, Rob Kooper, Peter Bajcsy
2010	—	`conf`	Evaluating the effectiveness of communication media on remote collaboration. VECIMS Rahul Malik, Melissa Dobosh, Marshall Scott Poole, Kenton McHenry, Peter Bajcsy
2010	J	`jnl`	Image-Based Machine Learning for Reduction of User Fatigue in an Interactive Model Calibration System. J. Comput. Civ. Eng. Abhishek Singh, Barbara S. Minsker, Peter Bajcsy
2010	J	`jnl`	Understanding documentation and reconstruction requirements for computer-assisted decision processes. Decis. Support Syst. Peter Bajcsy, Rob Kooper, Sang-Chul Lee
2010	—	`conf`	Understanding the impact of visual quality parameters on activities in immersive systems. VECIMS Rahul Malik, Peter Bajcsy
2009	—	`conf`	A Methodology for File Relationship Discovery. eScience Michal Ondrejcek, Jason Kastner, Rob Kooper, Peter Bajcsy
2009	A	`conf`	Characterizing human subjects in real-time and three-dimensional spaces by integrating thermal-infrared and visible spectrum cameras. ICME Suk-Kyu Lee, Kenton McHenry, Rob Kooper, Peter Bajcsy
2009	J	`jnl`	Embedding Data within Knowledge Spaces CoRR 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
2009	A*	`conf`	Immersive environments for rehabilitation activities. ACM Multimedia Peter Bajcsy, Kenton McHenry, Hye-Jung Na, Rahul Malik, Andrew Spencer, Suk-Kyu Lee, Rob Kooper, Mike Frogley
2009	—	`conf`	Optimal stereo camera placement under spatially varying resolution requirements. IMMERSCOM Rahul Malik, Peter Bajcsy
2009	—	`conf`	Semantic middleware for e-science knowledge spaces. MGC@Middleware 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
2009	—	`conf`	Towards a Universal, Quantifiable, and Scalable File Format Converter. eScience Kenton McHenry, Rob Kooper, Peter Bajcsy
2008	J	`jnl`	3D medical volume reconstruction using web services. Comput. Biol. Medicine Rob Kooper, Andrew Shirk, Sang-Chul Lee, Amy Lin, Robert Folberg, Peter Bajcsy
2008	—	`conf`	Advanced Information Delivery System for the Abraham Lincoln Writings. eScience Michal Ondrejcek, Rob Kooper, Peter Bajcsy
2008	—	`conf`	Advanced Information Systems for Archival Appraisals of Contemporary Documents. eScience William McFadden, Kenton McHenry, Rob Kooper, Michal Ondrejcek, Alex Yahja, Peter Bajcsy
2008	C	`conf`	Integration of thermal and visible imagery for robust foreground detection in tele-immersive spaces. FUSION Miles J. Johnson, Peter Bajcsy
2008	—	`conf`	Knowledge Spaces and Scientific Data. eScience 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
2008	—	`conf`	Publishing Active Workflows to Problem-Focused Web Spaces. eScience Luigi Marini, Rob Kooper, Peter Bajcsy, James D. Myers
2008	C	`conf`	Text, Image and Vector Graphics Based Appraisal of Contemporary Documents. ICMLA Sang-Chul Lee, William McFadden, Peter Bajcsy
2008	J	`jnl`	Trajectory fusion for three-dimensional volume reconstruction. Comput. Vis. Image Underst. Sang-Chul Lee, Peter Bajcsy
2007	C	`conf`	Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes. ICMLA Sang-Chul Lee, Peter Bajcsy
2006	J	`jnl`	Accuracy Evaluation for Region Centroid-Based Registration of Fluorescent CLSM Imagery. EURASIP J. Adv. Signal Process. Sang-Chul Lee, Peter Bajcsy, Amy Lin, Robert Folberg
2006	J	`jnl`	An Overview of DNA Microarray Grid Alignment and Foreground Separation Approaches. EURASIP J. Adv. Signal Process. Peter Bajcsy
2006	B	`conf`	Automated feature-based alignment for 3D volume reconstruction of CLSM imagery. Image Processing Sang-Chul Lee, Peter Bajcsy
2006	A	`conf`	Poster reception - NCSA environmental cyberinfrastructure demonstration project: creating cyberenvironments for environmental engineering and hydrological science communities. SC 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
2006	—	`conf`	Spatial Intensity Correction of Fluorescent Confocal Laser Scanning Microscope Images. CVAMIA Sang-Chul Lee, Peter Bajcsy
2006	B	`conf`	Supporting registration decisions during 3D medical volume reconstructions. Image Processing Peter Bajcsy, Sang-Chul Lee, David Clutter
2006	—	`conf`	Three-Dimensional Volume Reconstruction Based on Trajectory Fusion from Confocal Laser Scanning Microscope Images. CVPR (2) Sang-Chul Lee, Peter Bajcsy
2005	A	`conf`	3D Medical Volume Reconstruction Using Web Services. ICWS Rob Kooper, Andrew Shirk, Sang-Chul Lee, Amy Lin, Robert Folberg, Peter Bajcsy
2005	—	`conf`	An Overview of DNA Microarray Image Requirements for Automated Processing. CVPR Workshops Peter Bajcsy
2005	B	`conf`	Feature based registration of fluorescent LSCM imagery using region centroids. Image Processing Sang-Chul Lee, Peter Bajcsy
2005	—	`ch.`	Survey of Biodata Analysis from a Data Mining Perspective. Data Mining in Bioinformatics Peter Bajcsy, Jiawei Han, Lei Liu, Jiong Yang
2004	J	`jnl`	Gridline: automatic grid alignment DNA microarray scans. IEEE Trans. Image Process. Peter Bajcsy
2004	B	`conf`	Multisensor raster and vector data fusion based on uncertainty modeling. ICIP Sang-Chul Lee, Peter Bajcsy
1998	—	`conf`	Hierarchical Texture Segmentation. ACCV (2) Peter Bajcsy, Narendra Ahuja
1998	J	`jnl`	Location- and Density-Based Hierarchical Clustering Using Similarity Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Peter Bajcsy, Narendra Ahuja
1997	—	`conf`	A New Framework for Hierarchical Segmentation Using Similarity Analysis. Scale-Space Peter Bajcsy, Narendra Ahuja
1997	—	`—`	Hierarchical Segmentation and Clustering Using Similarity Analysis Peter Bajcsy
1996	B	`conf`	Uniformity and homogeneity-based hierarchical clustering. ICPR Peter Bajcsy, Narendra Ahuja