Methodology for hyperspectral band selection P Bajcsy, P Groves Photogrammetric Engineering & Remote Sensing 70 (7), 793-802, 2004 | 369 | 2004 |
An overview of 3d data content, file formats and viewers K McHenry, P Bajcsy National Center for Supercomputing Applications 1205, 22, 2008 | 234 | 2008 |
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 | 170 | 2017 |
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 | 137 | 2004 |
Gridline: automatic grid alignment DNA microarray scans P Bajcsy IEEE transactions on image processing 13 (1), 15-25, 2004 | 101 | 2004 |
Recognition of arm gestures using multiple orientation sensors: gesture classification JC Lementec, P Bajcsy Proceedings. The 7th International IEEE Conference on Intelligent …, 2004 | 93 | 2004 |
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 | 83 | 2019 |
An overview of DNA microarray grid alignment and foreground separation approaches P Bajcsy EURASIP Journal on Advances in Signal Processing 2006, 1-13, 2006 | 65 | 2006 |
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 | 64 | 2015 |
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 | 63 | 1998 |
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 | 58 | 2003 |
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 | 56 | 2021 |
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 | 56 | 2020 |
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 | 51 | 2021 |
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 | 51 | 2015 |
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 | 45 | 2021 |
An overview of DNA microarray image requirements for automated processing P Bajcsy 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 45 | 2005 |
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 | 44 | 2006 |
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 | 39 | 2010 |
Survey of biodata analysis from a data mining perspective P Bajcsy, J Han, L Liu, J Yang Data Mining in Bioinformatics, 9-39, 2005 | 38 | 2005 |