Export 27 results:
Author Title Type [ Year
] Filters: Author is Plaza, Stephen M [Clear All Filters]
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2022. neuPrint: An open access tool for EM connectomics.. Frontiers in Neuroinformatics. 16:896292.
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2022. Neuronal circuits integrating visual motion information in Drosophila melanogaster.. Current Biology. 32(16):3529-3544.
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2021. Information flow, cell types and stereotypy in a full olfactory connectome.. eLife. 10
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2020. A connectome and analysis of the adult Drosophila central brain.. Elife. 9
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2019. Comparisons between the ON- and OFF-edge motion pathways in the brain.. eLife. 8
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2019. DVID: Distributed versioned image-oriented dataservice.. Frontiers in Neural Circuits. 13(5)
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2019. The organization of the second optic chiasm of the optic lobe.. Frontiers in Neural Circuits. 13:65.
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2018. Analyzing image segmentation for connectomics.. Frontiers in Neural Circuits. 12:102.
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2018. NeuTu: Software for Collaborative, Large-Scale, Segmentation-Based Connectome Reconstruction.. Frontiers in Neural Circuits. 12:101.
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2017. A connectome of a learning and memory center in the adult Drosophila brain.. eLife. 6:e26975.
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2017. Multicut brings automated neurite segmentation closer to human performance.. Nature Methods. 14(2):101-102.
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2016. Large-scale electron microscopy image segmentation in spark.. arXiv. :arXiv:1604.00385.
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2015. A common evolutionary origin for the ON- and OFF-edge motion detection pathways of the Drosophila visual system.. Frontiers in Neural Circuits. 9:33.
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2015. Solving the third-shift problem in ic piracy with test-aware logic locking.. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 34(6):961-71.
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2014. Annotating synapses in large EM datasets.. arXiv. :arXiv:1409.1801[q-bio.QM].
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2014. Automatic neuron type identification by neurite localization in the Drosophila medulla.. arXiv. :arXiv:1409.1892[q-bio.NC].
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2014. A context-aware delayed agglomeration framework for EM segmentation.. arXiv. :arXiv:1406.1476[cs.CV].
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2014. Focused proofreading: efficiently extracting connectomes from segmented EM images.. arXiv. :arXiv:1409.1199[q-bio.QM].
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2014. Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages. Frontiers in Neuroinformatics. 8:34.
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2014. Identifying synapses using deep and wide multiscale recursive networks.. arXiv. :arXiv:1409.1789[cs.CV].
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2014. Protecting integrated circuits from piracy with test-aware logic locking.. ICCAD '14 Proceedings of the 2014 IEEE/ACM International Conference on Computer-Aided Design. :262-269.
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2014. Small sample learning of superpixel classifiers for EM segmentation- extended version.. arXiv. :arXiv:1406.1774[cs.CV].
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2014. Toward large-scale connectome reconstructions.. Current Opinion in Neurobiology. 25C:201-10.
