Seymour Knowles-Barley

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Hanspeter PfisterAn Wang Professor of Computer Science, Harvard UniversityEmail confirmado em seas.harvard.edu
Thouis (Ray) JonesBroad InstituteEmail confirmado em broadinstitute.org
Narayanan 'Bobby' KasthuriUniversity of Chicago/Argonne National LaboratoryEmail confirmado em uchicago.edu
Mike RobertsIntel LabsEmail confirmado em intel.com
J Douglas ArmstrongUniversity of EdinburghEmail confirmado em inf.ed.ac.uk
Daniel R. BergerPost-Doc at Harvard UniversityEmail confirmado em fas.harvard.edu
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Email confirmado em princeton.edu
Daniel Lewis SussmanBoston UniversityEmail confirmado em bu.edu
William R. Gray-Roncal, Ph.D.Johns Hopkins University Applied Physics LaboratoryEmail confirmado em jhu.edu
Joshua T. VogelsteinDept of Biomedical Engineering, Johns Hopkins UniversityEmail confirmado em jhu.edu
Carey E. PriebeProfessor of Applied Mathematics and Statistics, Johns Hopkins UniversityEmail confirmado em jhu.edu
Randal BurnsProfessor of Computer Science, Johns Hopkins UniversityEmail confirmado em cs.jhu.edu
Alyssa M. WilsonAssistant Professor of Research, Icahn School of Medicine at Mount SinaiEmail confirmado em mssm.edu
Anthony J HarmarUniversity of EdinburghEmail confirmado em ed.ac.uk
Ed RyderLGCEmail confirmado em lgcgroup.com
Vitor TroviscoResearch Associate, FlyBase/University of CambridgeEmail confirmado em cam.ac.uk
Adi Suissa-PelegGoogleEmail confirmado em google.com
Daniel HaehnUniversity of Massachusetts BostonEmail confirmado em cs.umb.edu
Daniel St JohnstonDirector of teh Gurdon Institute, University of CambridgeEmail confirmado em gurdon.cam.ac.uk
Eric MillerTufts UniversityEmail confirmado em tufts.edu

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Seymour Knowles-Barley

Volpara Health

Email confirmado em volparahealth.com

Computer Vision Deep Learning Connectomics Image Segmentation Neuroinformatics


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Saturated reconstruction of a volume of neocortex N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ... Cell 162 (3), 648-661, 2015	972	2015
Analysis of the expression patterns, subcellular localisations and interaction partners of Drosophila proteins using a pigP protein trap library N Lowe, JS Rees, J Roote, E Ryder, IM Armean, G Johnson, E Drummond, ... Development 141 (20), 3994-4005, 2014	149	2014
Large-scale automatic reconstruction of neuronal processes from electron microscopy images V Kaynig, A Vazquez-Reina, S Knowles-Barley, M Roberts, TR Jones, ... Medical image analysis 22 (1), 77-88, 2015	144	2015
Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images HP Verena Kaynig, Amelio Vazquez-Reina, Seymour Knowles-Barley, Mike Roberts ... Medical Image Analysis, 2015	144	2015
Circadian control of mouse heart rate and blood pressure by the suprachiasmatic nuclei: behavioral effects are more significant than direct outputs WJ Sheward, E Naylor, S Knowles-Barley, JD Armstrong, GA Brooker, ... PloS one 5 (3), e9783, 2010	89	2010
Dietary modulation of Drosophila sleep-wake behaviour JH Catterson, S Knowles-Barley, K James, MMS Heck, AJ Harmar, ... PloS one 5 (8), e12062, 2010	85	2010
Design and Evaluation of Interactive Proofreading Tools for Connectomics D Haehn, S Knowles-Barley, M Roberts, J Beyer, N Kasthuri, JW Lichtman, ... IEEE Transactions on Visualization and Computer Graphics, 2014	59	2014
A multi-pass approach to large-scale connectomics Y Meirovitch, A Matveev, H Saribekyan, D Budden, D Rolnick, G Odor, ... arXiv preprint arXiv:1612.02120, 2016	41	2016
Developmental rewiring between cerebellar climbing fibers and purkinje cells begins with positive feedback synapse addition AM Wilson, R Schalek, A Suissa-Peleg, TR Jones, S Knowles-Barley, ... Cell reports 29 (9), 2849-2861. e6, 2019	28	2019
BrainTrap: a database of 3D protein expression patterns in the Drosophila brain S Knowles-Barley, M Longair, JD Armstrong Database 2010, baq005, 2010	28	2010
RhoanaNet pipeline: Dense automatic neural annotation S Knowles-Barley, V Kaynig, TR Jones, A Wilson, J Morgan, D Lee, ... arXiv preprint arXiv:1611.06973, 2016	25	2016
Automatic neural reconstruction from petavoxel of electron microscopy data A Suissa-Peleg, D Haehn, S Knowles-Barley, V Kaynig, TR Jones, ... Microscopy and Microanalysis 22 (S3), 536-537, 2016	17	2016
Mojo 2.0: Connectome annotation tool S Knowles-Barley, M Roberts, N Kasthuri, D Lee, H Pfister, JW Lichtman Frontiers in Neuroinformatics 60, 1, 2013	17	2013
Va ́ zquez-Reina, A., Kaynig, V., Jones N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ... TR et al, 2015	16	2015
Biologically inspired EM image alignment and neural reconstruction S Knowles-Barley, NJ Butcher, IA Meinertzhagen, JD Armstrong Bioinformatics 27 (16), 2216-2223, 2011	10	2011
Deep learning for the connectome S Knowles-Barley, TR Jones, J Morgan, D Lee, N Kasthuri, JW Lichtman, ... GPU Technology Conference 26, 2014	8	2014
Consortium, UKDPTS, Lilley, KS, Russell, S. and St Johnston, D.(2014).“Analysis of the expression patterns, subcellular localisations and interaction partners of Drosophila … N Lowe, JS Rees, J Roote, E Ryder, IM Armean, G Johnson, E Drummond, ... Development 141 (20), 3994-4005, 0	7
Improving Segmentation of Breast Arterial Calcifications from Digital Mammography: Good Annotation is All You Need K Wang, M Hill, S Knowles-Barley, A Tikhonov, L Litchfield, JC Bare Proceedings of the Asian Conference on Computer Vision, 130-146, 2022	1	2022
The rich get richer: synaptic remodeling between climbing fibers and Purkinje cells in the developing cerebellum begins with positive feedback addition of synapses AM Wilson, R Schalek, A Suissa-Peleg, TR Jones, S Knowles-Barley, ... bioRxiv, 627299, 2019		2019
RhoanaNet Pipeline: Dense Automatic Neural S Knowles-Barley, V Kaynig, TR Jones, A Wilson, J Morgan, D Lee, ... arXiv preprint arXiv:1611.06973, 2016		2016

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