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Peter Bajcsy
Peter Bajcsy
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Title
Cited by
Cited by
Year
Methodology for hyperspectral band selection
P Bajcsy, P Groves
Photogrammetric Engineering & Remote Sensing 70 (7), 793-802, 2004
3702004
An overview of 3d data content, file formats and viewers
K McHenry, P Bajcsy
National Center for Supercomputing Applications 1205, 22, 2008
2422008
MIST: accurate and scalable microscopy image stitching tool with stage modeling and error minimization
J Chalfoun, M Majurski, T Blattner, K Bhadriraju, W Keyrouz, P Bajcsy, ...
Scientific reports 7 (1), 4988, 2017
1932017
Hyperspectral image data mining for band selection in agricultural applications
SG Bajwa, P Bajcsy, P Groves, LF Tian
Transactions of the ASAE 47 (3), 895-907, 2004
1372004
Gridline: automatic grid alignment DNA microarray scans
P Bajcsy
IEEE transactions on image processing 13 (1), 15-25, 2004
1012004
Recognition of arm gestures using multiple orientation sensors: gesture classification
JC Lementec, P Bajcsy
Proceedings. The 7th International IEEE Conference on Intelligent …, 2004
942004
Cell image segmentation using generative adversarial networks, transfer learning, and augmentations
M Majurski, P Manescu, S Padi, N Schaub, N Hotaling, C Simon Jr, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
922019
An overview of DNA microarray grid alignment and foreground separation approaches
P Bajcsy
EURASIP Journal on Advances in Signal Processing 2006, 1-13, 2006
662006
Location-and density-based hierarchical clustering using similarity analysis
P Bajcsy, N Ahuja
IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (9), 1011-1015, 1998
651998
QUAREP-LiMi: a community endeavor to advance quality assessment and reproducibility in light microscopy
U Boehm, G Nelson, CM Brown, S Bagley, P Bajcsy, J Bischof, A Dauphin, ...
Nature methods 18 (12), 1423-1426, 2021
622021
Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy
NJ Schaub, NA Hotaling, P Manescu, S Padi, Q Wan, R Sharma, ...
The Journal of clinical investigation 130 (2), 1010-1023, 2020
622020
Survey statistics of automated segmentations applied to optical imaging of mammalian cells
P Bajcsy, A Cardone, J Chalfoun, M Halter, D Juba, M Kociolek, ...
BMC bioinformatics 16, 1-28, 2015
612015
Methodology for hyperspectral band and classification model selection
P Groves, P Bajcsy
IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data …, 2003
592003
QUAREP‐LiMi: A community‐driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy
G Nelson, U Boehm, S Bagley, P Bajcsy, J Bischof, CM Brown, A Dauphin, ...
Journal of microscopy 284 (1), 56-73, 2021
562021
Empirical gradient threshold technique for automated segmentation across image modalities and cell lines
J Chalfoun, M Majurski, A Peskin, C Breen, P Bajcsy, M Brady
Journal of microscopy 260 (1), 86-99, 2015
522015
Towards community-driven metadata standards for light microscopy: tiered specifications extending the OME model
M Hammer, M Huisman, A Rigano, U Boehm, JJ Chambers, N Gaudreault, ...
Nature methods 18 (12), 1427-1440, 2021
502021
An overview of DNA microarray image requirements for automated processing
P Bajcsy
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
462005
Prediction of weekly nitrate-N fluctuations in a small agricultural watershed in Illinois
M Markus, MI Hejazi, P Bajcsy, O Giustolisi, DA Savic
Journal of Hydroinformatics 12 (3), 251-261, 2010
452010
Three‐dimensional volume reconstruction of extracellular matrix proteins in uveal melanoma from fluorescent confocal laser scanning microscope images
P Bajcsy, SC Lee, A Lin, R Folberg
Journal of microscopy 221 (1), 30-45, 2006
452006
Survey of biodata analysis from a data mining perspective
P Bajcsy, J Han, L Liu, J Yang
Data Mining in Bioinformatics, 9-39, 2005
392005
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