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Crowdsourcing the creation of image segmentation algorithms for connectomics.
Arganda-Carreras, Ignacio; Turaga, Srinivas C; Berger, Daniel R; Ciresan, Dan; Giusti, Alessandro; Gambardella, Luca M; Schmidhuber, Jürgen; Laptev, Dmitry; Dwivedi, Sarvesh; Buhmann, Joachim M; Liu, Ting; Seyedhosseini, Mojtaba; Tasdizen, Tolga; Kamentsky, Lee; Burget, Radim; Uher, Vaclav; Tan, Xiao; Sun, Changming; Pham, Tuan D; Bas, Erhan; Uzunbas, Mustafa G; Cardona, Albert; Schindelin, Johannes; Seung, H Sebastian.
Afiliación
  • Arganda-Carreras I; UMR1318 French National Institute for Agricultural Research-AgroParisTech, French National Institute for Agricultural Research Centre de Versailles-Grignon, Institut Jean-Pierre Bourgin Versailles, France.
  • Turaga SC; Howard Hughes Medical Institute, Janelia Research Campus Ashburn, VA, USA.
  • Berger DR; Center for Brain Science, Harvard University Cambridge, MA, USA.
  • Ciresan D; Swiss AI Lab IDSIA (Dalle Molle Institute for Artificial Intelligence) Universitá Della Svizzera Italiana, Scuola Universitaria Professionale Della Svizzera Italiana Lugano, Switzerland.
  • Giusti A; Swiss AI Lab IDSIA (Dalle Molle Institute for Artificial Intelligence) Universitá Della Svizzera Italiana, Scuola Universitaria Professionale Della Svizzera Italiana Lugano, Switzerland.
  • Gambardella LM; Swiss AI Lab IDSIA (Dalle Molle Institute for Artificial Intelligence) Universitá Della Svizzera Italiana, Scuola Universitaria Professionale Della Svizzera Italiana Lugano, Switzerland.
  • Schmidhuber J; Swiss AI Lab IDSIA (Dalle Molle Institute for Artificial Intelligence) Universitá Della Svizzera Italiana, Scuola Universitaria Professionale Della Svizzera Italiana Lugano, Switzerland.
  • Laptev D; Department of Computer Science, ETH Zurich Zurich, Switzerland.
  • Dwivedi S; Department of Computer Science, ETH Zurich Zurich, Switzerland.
  • Buhmann JM; Department of Computer Science, ETH Zurich Zurich, Switzerland.
  • Liu T; Scientific Computing and Imaging Institute, University of Utah Salt Lake City, UT, USA.
  • Seyedhosseini M; Scientific Computing and Imaging Institute, University of Utah Salt Lake City, UT, USA.
  • Tasdizen T; Scientific Computing and Imaging Institute, University of Utah Salt Lake City, UT, USA.
  • Kamentsky L; Imaging Platform, Broad Institute Cambridge, MA, USA.
  • Burget R; Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology Brno, Czech Republic.
  • Uher V; Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology Brno, Czech Republic.
  • Tan X; School of Engineering and Information Technology, University of New South Wales Canberra, ACT, Australia.
  • Sun C; Digital Productivity Flagship, Commonwealth Scientific and Industrial Research Organisation North Ryde, NSW, Australia.
  • Pham TD; Department of Biomedical Engineering, The Institute of Technology, Linkoping University Linkoping, Sweden.
  • Bas E; Howard Hughes Medical Institute, Janelia Research Campus Ashburn, VA, USA.
  • Uzunbas MG; Computer Science Department, Rutgers University New Brunswick, NJ, USA.
  • Cardona A; Howard Hughes Medical Institute, Janelia Research Campus Ashburn, VA, USA.
  • Schindelin J; Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison Madison, WI, USA.
  • Seung HS; Princeton Neuroscience Institute and Computer Science Department, Princeton University Princeton, NJ, USA.
Front Neuroanat ; 9: 142, 2015.
Article en En | MEDLINE | ID: mdl-26594156
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neuroanat Año: 2015 Tipo del documento: Article País de afiliación: Francia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neuroanat Año: 2015 Tipo del documento: Article País de afiliación: Francia