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Srinivas Turaga

Affiliations: 
Massachusetts Institute of Technology, Cambridge, MA, United States 
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"Srinivas Turaga"
Mean distance: 15.23 (cluster 17)
 		SNBCP
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Parents

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H Sebastian Seung grad student MIT

Children

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Andrew Brian Berger research assistant Janelia Farm / HHMI

Collaborators

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Ulf Knoblich collaborator MIT
BETA: Related publications

Publications

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Speiser A, Müller LR, Hoess P, et al. (2021) Deep learning enables fast and dense single-molecule localization with high accuracy. Nature Methods
McDole K, Guignard L, Amat F, et al. (2018) In Toto Imaging and Reconstruction of Post-Implantation Mouse Development at the Single-Cell Level. Cell
Arganda-Carreras I, Turaga SC, Berger DR, et al. (2015) Crowdsourcing the creation of image segmentation algorithms for connectomics. Frontiers in Neuroanatomy. 9: 142
Kim Y, Venkataraju KU, Pradhan K, et al. (2015) Mapping social behavior-induced brain activation at cellular resolution in the mouse. Cell Reports. 10: 292-305
Kim JS, Greene MJ, Zlateski A, et al. (2014) Space-time wiring specificity supports direction selectivity in the retina. Nature. 509: 331-6
Helmstaedter M, Briggman KL, Turaga SC, et al. (2014) Erratum: Corrigendum: Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature. 514: 394-394
Helmstaedter M, Briggman KL, Turaga SC, et al. (2013) Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature. 500: 168-74
Schalek R, Kasthuri N, Hayworth K, et al. (2011) Development of High-Throughput, High-Resolution 3D Reconstruction of Large-Volume Biological Tissue Using Automated Tape Collection Ultramicrotomy and Scanning Electron Microscopy Microscopy and Microanalysis. 17: 966-967
Jain V, Turaga SC, Briggman KL, et al. (2011) Learning to agglomerate superpixel hierarchies Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011
Jain V, Seung HS, Turaga SC. (2010) Machines that learn to segment images: a crucial technology for connectomics. Current Opinion in Neurobiology. 20: 653-66
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