Srini Turaga
Srini Turaga
HHMI Janelia Research Campus
Verified email at janelia.hhmi.org - Homepage
Title
Cited by
Cited by
Year
Connectomic reconstruction of the inner plexiform layer in the mouse retina
M Helmstaedter, KL Briggman, SC Turaga, V Jain, HS Seung, W Denk
Nature 500 (7461), 168-174, 2013
7392013
Opportunities and obstacles for deep learning in biology and medicine
T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ...
Journal of The Royal Society Interface 15 (141), 20170387, 2018
6212018
Space–time wiring specificity supports direction selectivity in the retina
JS Kim, MJ Greene, A Zlateski, K Lee, M Richardson, SC Turaga, ...
Nature 509 (7500), 331-336, 2014
3742014
Convolutional networks can learn to generate affinity graphs for image segmentation
SC Turaga, JF Murray, V Jain, F Roth, M Helmstaedter, K Briggman, ...
Neural computation 22 (2), 511-538, 2010
3482010
Supervised learning of image restoration with convolutional networks
V Jain, JF Murray, F Roth, S Turaga, V Zhigulin, KL Briggman, ...
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, 1-8, 2007
2292007
Crowdsourcing the creation of image segmentation algorithms for connectomics
I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ...
Frontiers in neuroanatomy 9, 142, 2015
1942015
Mapping social behavior-induced brain activation at cellular resolution in the mouse
Y Kim, KU Venkataraju, K Pradhan, C Mende, J Taranda, SC Turaga, ...
Cell reports 10 (2), 292-305, 2015
1722015
Machines that learn to segment images: a crucial technology for connectomics
V Jain, HS Seung, SC Turaga
Current opinion in neurobiology 20 (5), 653-666, 2010
1572010
In toto imaging and reconstruction of post-implantation mouse development at the single-cell level
K McDole, L Guignard, F Amat, A Berger, G Malandain, LA Royer, ...
Cell 175 (3), 859-876. e33, 2018
1332018
Maximin affinity learning of image segmentation
SC Turaga, KL Briggman, M Helmstaedter, W Denk, HS Seung
NIPS, 1865-1873, 2009
114*2009
Large scale image segmentation with structured loss based deep learning for connectome reconstruction
J Funke, F Tschopp, W Grisaitis, A Sheridan, C Singh, S Saalfeld, ...
IEEE transactions on pattern analysis and machine intelligence 41 (7), 1669-1680, 2018
79*2018
Learning to Agglomerate Superpixel Hierarchies
V Jain, SC Turaga, KL Briggman, MN Helmstaedter, W Denk, HS Seung
Neural Information Processing Systems, 2011
762011
Development of high-throughput, high-resolution 3D reconstruction of large-volume biological tissue using automated tape collection ultramicrotomy and scanning electron microscopy
R Schalek, N Kasthuri, K Hayworth, D Berger, J Tapia, J Morgan, ...
Microscopy and Microanalysis 17 (S2), 966-967, 2011
612011
Method and apparatus for image processing
HS Seung, JF Murray, V Jain, SC Turaga, M Helmstaedter, W Denk
US Patent 9,799,098, 2017
532017
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data
P Berens, J Freeman, T Deneux, N Chenkov, T McColgan, A Speiser, ...
PLoS computational biology 14 (5), e1006157, 2018
482018
Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems
F Tschopp, JNP Martel, SC Turaga, M Cook, J Funke
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1225-1228, 2016
452016
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
A Speiser, J Yan, EW Archer, L Buesing, SC Turaga, JH Macke
Advances in Neural Information Processing Systems, 4024-4034, 2017
312017
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
SC Turaga, L Buesing, AM Packer, H Dalgleish, N Pettit, M Hausser, ...
NIPS, 2013
292013
Calculating free energies for diffusion in tight-fitting zeolite-guest systems: Local normal-mode Monte Carlo
SC Turaga, SM Auerbach
The Journal of chemical physics 118 (14), 6512-6517, 2003
242003
Image and data segmentation
HS Seung, SC Turaga, V Jain
US Patent 8,885,926, 2014
162014
The system can't perform the operation now. Try again later.
Articles 1–20