| Year |
Citation |
Score |
| 2021 |
Speiser A, Müller LR, Hoess P, Matti U, Obara CJ, Legant WR, Kreshuk A, Macke JH, Ries J, Turaga SC. Deep learning enables fast and dense single-molecule localization with high accuracy. Nature Methods. PMID 34480155 DOI: 10.1038/s41592-021-01236-x |
0.353 |
|
| 2018 |
McDole K, Guignard L, Amat F, Berger A, Malandain G, Royer LA, Turaga SC, Branson K, Keller PJ. In Toto Imaging and Reconstruction of Post-Implantation Mouse Development at the Single-Cell Level. Cell. PMID 30318151 DOI: 10.1016/J.Cell.2018.09.031 |
0.628 |
|
| 2015 |
Arganda-Carreras I, Turaga SC, Berger DR, Cireşan D, Giusti A, Gambardella LM, Schmidhuber J, Laptev D, Dwivedi S, Buhmann JM, Liu T, Seyedhosseini M, Tasdizen T, Kamentsky L, Burget R, et al. Crowdsourcing the creation of image segmentation algorithms for connectomics. Frontiers in Neuroanatomy. 9: 142. PMID 26594156 DOI: 10.3389/Fnana.2015.00142 |
0.648 |
|
| 2015 |
Kim Y, Venkataraju KU, Pradhan K, Mende C, Taranda J, Turaga SC, Arganda-Carreras I, Ng L, Hawrylycz MJ, Rockland KS, Seung HS, Osten P. Mapping social behavior-induced brain activation at cellular resolution in the mouse. Cell Reports. 10: 292-305. PMID 25558063 DOI: 10.1016/J.Celrep.2014.12.014 |
0.425 |
|
| 2014 |
Kim JS, Greene MJ, Zlateski A, Lee K, Richardson M, Turaga SC, Purcaro M, Balkam M, Robinson A, Behabadi BF, Campos M, Denk W, Seung HS. Space-time wiring specificity supports direction selectivity in the retina. Nature. 509: 331-6. PMID 24805243 DOI: 10.1038/Nature13240 |
0.581 |
|
| 2014 |
Helmstaedter M, Briggman KL, Turaga SC, Jain V, Seung HS, Denk W. Erratum: Corrigendum: Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature. 514: 394-394. DOI: 10.1038/Nature13877 |
0.455 |
|
| 2013 |
Helmstaedter M, Briggman KL, Turaga SC, Jain V, Seung HS, Denk W. Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature. 500: 168-74. PMID 23925239 DOI: 10.1038/Nature12346 |
0.541 |
|
| 2011 |
Schalek R, Kasthuri N, Hayworth K, Berger D, Tapia J, Morgan J, Turaga S, Fagerholm E, Seung H, Lichtman J. 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. DOI: 10.1017/S1431927611005708 |
0.551 |
|
| 2011 |
Jain V, Turaga SC, Briggman KL, Helmstaedter MN, Denk W, Seung HS. Learning to agglomerate superpixel hierarchies Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.48 |
|
| 2010 |
Jain V, Seung HS, Turaga SC. Machines that learn to segment images: a crucial technology for connectomics. Current Opinion in Neurobiology. 20: 653-66. PMID 20801638 DOI: 10.1016/j.conb.2010.07.004 |
0.567 |
|
| 2010 |
Turaga SC, Murray JF, Jain V, Roth F, Helmstaedter M, Briggman K, Denk W, Seung HS. Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Computation. 22: 511-38. PMID 19922289 DOI: 10.1162/Neco.2009.10-08-881 |
0.617 |
|
| 2009 |
Turaga SC, Briggman KL, Helmstaedter M, Denk W, Seung HS. Maximin affinity learning of image segmentation Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1865-1873. |
0.57 |
|
| 2007 |
Jain V, Murray JF, Roth F, Turaga S, Zhigulin V, Briggman KL, Helmstaedter MN, Denk W, Seung HS. Supervised learning of image restoration with convolutional networks Proceedings of the Ieee International Conference On Computer Vision. DOI: 10.1109/ICCV.2007.4408909 |
0.605 |
|
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