Srinivas C. Turaga

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H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Adresă de e-mail confirmată pe princeton.edu
Winfried DenkMax PlanckAdresă de e-mail confirmată pe neuro.mpg.de
Viren JainGoogle ResearchAdresă de e-mail confirmată pe google.com
Moritz HelmstaedterMax Planck Institute for Brain ResearchAdresă de e-mail confirmată pe brain.mpg.de
Jakob MackeMachine Learning in Science, Tübingen UniversityAdresă de e-mail confirmată pe uni-tuebingen.de
Jan FunkeHHMI Janelia Research CampusAdresă de e-mail confirmată pe janelia.hhmi.org
Joseph F MurrayFICO Senior DirectorAdresă de e-mail confirmată pe jfmurray.org
Stephan SaalfeldHHMI Janelia Research CampusAdresă de e-mail confirmată pe janelia.hhmi.org
Arlo SheridanSalk InstituteAdresă de e-mail confirmată pe salk.edu
Kristin BransonHHMI Janelia Research CampusAdresă de e-mail confirmată pe janelia.hhmi.org
Ignacio Arganda-CarrerasIkerbasque Associate Researcher at University of the Basque Country, Biofisika Institute and DIPCAdresă de e-mail confirmată pe ehu.eus
Amy Robinson SterlingPrinceton UniversityAdresă de e-mail confirmată pe princeton.edu
Kisuk LeeZetta AIAdresă de e-mail confirmată pe zetta.ai
Michael Purcaro, MD/PhDResident Physician, University of MassachusettsAdresă de e-mail confirmată pe umassmed.edu
Aleksandar ZlateskiResearch Scientist - Facebook AI Research (FAIR)Adresă de e-mail confirmată pe fb.com
Daniel R. BergerResearch Scientist at Harvard UniversityAdresă de e-mail confirmată pe fas.harvard.edu
William C GrisaitisDana-Farber Cancer InstituteAdresă de e-mail confirmată pe dfci.harvard.edu
Michael HawrylyczInvestigator, Allen Institute for Brain ScienceAdresă de e-mail confirmată pe alleninstitute.org
Sridhama PrakhyaUniversity of Massachusetts AmherstAdresă de e-mail confirmată pe google.com
Jonas RiesUniversity of ViennaAdresă de e-mail confirmată pe univie.ac.at

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Srinivas C. Turaga

HHMI Janelia Research Campus

Adresă de e-mail confirmată pe janelia.hhmi.org - Pagina de pornire

machine learning neuroscience connectomics deep learning computational microscopy


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	2114	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	1153	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	532	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	499	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	426	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	374	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	322	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	288	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	235*	2018
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	183	2010
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	171	2021
Maximin affinity learning of image segmentation SC Turaga, KL Briggman, M Helmstaedter, W Denk, HS Seung NIPS, 1865-1873, 2009	159*	2009
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	132	2018
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	130	2020
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	122	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	97	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	93	2017
Learning to Agglomerate Superpixel Hierarchies V Jain, SC Turaga, KL Briggman, MN Helmstaedter, W Denk, HS Seung Neural Information Processing Systems, 2011	83	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	60	2017

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