Peter Bajcsy

Affiliations: 
University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
Area:
Computer Science
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"Peter Bajcsy"
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Publications

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Sathe PS, Wolf CM, Kim Y, et al. (2024) Data-driven simulations for training AI-based segmentation of neutron images. Scientific Reports. 14: 6614
Jain A, Laidlaw DH, Bajcsy P, et al. (2023) Memory-efficient semantic segmentation of large microscopy images using graph-based neural networks. Microscopy (Oxford, England)
Bajcsy P, Feldman S, Majurski M, et al. (2020) Approaches to training multi-class semantic image segmentation of damage in concrete. Journal of Microscopy
Padi S, Manescu P, Schaub N, et al. (2020) Comparison of Artificial Intelligence based approaches to cell function prediction Informatics in Medicine Unlocked. 18: 100270
Schaub NJ, Hotaling NA, Manescu P, et al. (2019) Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy. The Journal of Clinical Investigation
Bajcsy P, Yoon S, Florczyk SJ, et al. (2017) Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images. Bmc Bioinformatics. 18: 526
Pazmino Betancourt B, Florczyk S, Simon M, et al. (2017) Effect of the Scaffold Microenvironment on Cell Polarizability and Capacitance Determined by Probabilistic Computations. Biomedical Materials (Bristol, England)
Chalfoun J, Majurski M, Blattner T, et al. (2017) MIST: Accurate and Scalable Microscopy Image Stitching Tool with Stage Modeling and Error Minimization. Scientific Reports. 7: 4988
Manescu P, Jong Lee Y, Camp C, et al. (2017) Accurate and interpretable classification of microspectroscopy pixels using artificial neural networks. Medical Image Analysis. 37: 37-45
Bajcsy P, Vandecreme A, Amelot J, et al. (2016) Enabling Interactive Measurements from Large Coverage Microscopy. Computer. 49: 70-79
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