Srinivas C. Turaga

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H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Dirección de correo verificada de princeton.edu
Winfried DenkMax PlanckDirección de correo verificada de neuro.mpg.de
Viren JainGoogle ResearchDirección de correo verificada de google.com
Moritz HelmstaedterMax Planck Institute for Brain ResearchDirección de correo verificada de brain.mpg.de
Jakob MackeMachine Learning in Science, Tübingen UniversityDirección de correo verificada de uni-tuebingen.de
Jan FunkeHHMI Janelia Research CampusDirección de correo verificada de janelia.hhmi.org
Joseph F MurrayFICO Senior DirectorDirección de correo verificada de jfmurray.org
Kristin BransonHHMI Janelia Research CampusDirección de correo verificada de janelia.hhmi.org
Stephan SaalfeldHHMI Janelia Research CampusDirección de correo verificada de janelia.hhmi.org
Arlo SheridanSalk InstituteDirección de correo verificada de salk.edu
Ignacio Arganda-CarrerasIkerbasque Associate Researcher at University of the Basque Country, Biofisika Institute and DIPCDirección de correo verificada de ehu.eus
Amy Robinson SterlingPrinceton UniversityDirección de correo verificada de princeton.edu
Kisuk LeeZetta AIDirección de correo verificada de zetta.ai
Michael Purcaro, MD/PhDResident Physician, University of MassachusettsDirección de correo verificada de umassmed.edu
Aleksandar ZlateskiResearch Scientist - Facebook AI Research (FAIR)Dirección de correo verificada de fb.com
Sridhama PrakhyaUniversity of Massachusetts AmherstDirección de correo verificada de google.com
Daniel R. BergerResearch Scientist at Harvard UniversityDirección de correo verificada de fas.harvard.edu
William C GrisaitisDana-Farber Cancer InstituteDirección de correo verificada de dfci.harvard.edu
Jonas RiesUniversity of ViennaDirección de correo verificada de univie.ac.at
Wesley R LegantUniversity of North Carolina Chapel HillDirección de correo verificada de email.unc.edu

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Srinivas C. Turaga

HHMI Janelia Research Campus

Dirección de correo verificada de janelia.hhmi.org - Página principal

machine learning neuroscience connectomics deep learning computational microscopy


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2295	2018
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	1177	2013
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	547	2014
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	515	2010
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	469	2018
Crowdsourcing the creation of image segmentation algorithms for connectomics I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ... Frontiers in neuroanatomy 9, 152591, 2015	391	2015
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	338	2015
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	294	2007
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	256*	2018
Deep learning enables fast and dense single-molecule localization with high accuracy A Speiser, LR Müller, P Hoess, U Matti, CJ Obara, WR Legant, A Kreshuk, ... Nature methods 18 (9), 1082-1090, 2021	211	2021
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	187	2010
Maximin affinity learning of image segmentation SC Turaga, KL Briggman, M Helmstaedter, W Denk, HS Seung NIPS, 1865-1873, 2009	164*	2009
Behavioral state coding by molecularly defined paraventricular hypothalamic cell type ensembles S Xu, H Yang, V Menon, AL Lemire, L Wang, FE Henry, SC Turaga, ... Science 370 (6514), eabb2494, 2020	149	2020
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	146	2018
Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set J Buhmann, A Sheridan, C Malin-Mayor, P Schlegel, S Gerhard, ... Nature Methods 18 (7), 771-774, 2021	137	2021
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	98	2011
Method and apparatus for image processing HS Seung, JF Murray, V Jain, SC Turaga, M Helmstaedter, W Denk US Patent 9,799,098, 2017	97	2017
Learning to Agglomerate Superpixel Hierarchies V Jain, SC Turaga, KL Briggman, MN Helmstaedter, W Denk, HS Seung Neural Information Processing Systems, 2011	85	2011
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	66	2016
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 30, 2017	64	2017

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