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Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.

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Title: Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.
Authors: Manubens-Gil L; Institute for Brain and Intelligence, Southeast University, Nanjing, China., Zhou Z; Microsoft Corporation, Redmond, WA, USA., Chen H; Tencent AI Lab, Bellevue, WA, USA., Ramanathan A; Computing, Environment and Life Sciences Directorate, Argonne National Laboratory, Lemont, IL, USA., Liu X; Kaya Medical, Seattle, WA, USA., Liu Y; Institute for Brain and Intelligence, Southeast University, Nanjing, China., Bria A; University of Cassino and Southern Lazio, Cassino, Italy., Gillette T; Center for Neural Informatics, Structures and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA., Ruan Z; Institute for Brain and Intelligence, Southeast University, Nanjing, China., Yang J; Faculty of Information Technology, Beijing University of Technology, Beijing, China.; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China., Radojević M; Nuctech Netherlands, Rotterdam, the Netherlands., Zhao T; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA., Cheng L; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada., Qu L; Institute for Brain and Intelligence, Southeast University, Nanjing, China.; Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing, Anhui University, Hefei, China., Liu S; Paige AI, New York, NY, USA., Bouchard KE; Scientific Data Division and Biological Systems and Engineering Division, Lawrence Berkeley National Lab, Berkeley, CA, USA.; Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience, UC Berkeley, Berkeley, CA, USA., Gu L; RIKEN AIP, Tokyo, Japan.; Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan., Cai W; School of Computer Science, University of Sydney, Sydney, New South Wales, Australia., Ji S; Texas A&M University, College Station, TX, USA., Roysam B; Cullen College of Engineering, University of Houston, Houston, TX, USA., Wang CW; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan., Yu H; National Centre for Computer Animation, Bournemouth University, Poole, UK., Sironi A; PROPHESEE, Paris, France., Iascone DM; Department of Neuroscience, Columbia University, New York, NY, USA.; Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA., Zhou J; Department of Computer Science, Northern Illinois University, DeKalb, IL, USA., Bas E; AWS AI, Seattle, WA, USA., Conde-Sousa E; i3S, Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal.; INEB, Instituto de Engenharia Biomédica, Universidade Do Porto, Porto, Portugal., Aguiar P; i3S, Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal., Li X; Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA., Li Y; Allen Institute for Brain Science, Seattle, WA, USA.; Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA., Nanda S; Center for Neural Informatics, Structures and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA., Wang Y; Program in Neuroscience, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, USA., Muresan L; Cambridge Advanced Imaging Centre, University of Cambridge, Cambridge, UK., Fua P; Computer Vision Laboratory, EPFL, Lausanne, Switzerland., Ye B; Life Sciences Institute and Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA., He HY; Department of Biology, Georgetown University, Washington, DC, USA., Staiger JF; Institute for Neuroanatomy, University Medical Center Göttingen, Georg-August- University Göttingen, Goettingen, Germany., Peter M; Department of Stem Cell and Regenerative Biology and Center for Brain Science, Harvard University, Cambridge, MA, USA., Cox DN; Neuroscience Institute, Georgia State University, Atlanta, GA, USA., Simonneau M; 42 ENS Paris-Saclay, CNRS, CentraleSupélec, LuMIn, Université Paris-Saclay, Gif-sur-Yvette, France., Oberlaender M; Max Planck Group: In Silico Brain Sciences, Max Planck Institute for Neurobiology of Behavior - caesar, Bonn, Germany., Jefferis G; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.; Division of Neurobiology, MRC Laboratory of Molecular Biology, Cambridge, UK.; Department of Zoology, University of Cambridge, Cambridge, UK., Ito K; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.; Institute for Quantitative Biosciences, University of Tokyo, Tokyo, Japan.; Institute of Zoology, Biocenter Cologne, University of Cologne, Cologne, Germany., Gonzalez-Bellido P; Department of Ecology, Evolution, and Behavior, University of Minnesota, St Paul, MN, USA., Kim J; Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea., Rubel E; Virginia Merrill Bloedel Hearing Research Center, University of Washington, Seattle, WA, USA., Cline HT; The Scripps Research Institute, San Diego, CA, USA., Zeng H; Allen Institute for Brain Science, Seattle, WA, USA., Nern A; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA., Chiang AS; Brain Research Center, National Tsing Hua University, Hsinchu, Taiwan., Yao J; Tencent AI Lab, Shenzhen, China., Roskams J; Allen Institute for Brain Science, Seattle, WA, USA.; Department of Zoology, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada., Livesey R; Zayed Centre for Rare Disease Research, UCL Great Ormond Street Institute of Child Health, London, UK., Stevens J; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA., Liu T; Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA., Dang C; Virginia Merrill Bloedel Hearing Research Center, University of Washington, Seattle, WA, USA., Guo Y; Data Science Institute, Imperial College London, London, UK., Zhong N; Faculty of Information Technology, Beijing University of Technology, Beijing, China.; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China.; Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Japan., Tourassi G; BSEC, ORNL, Oak Ridge, TN, USA., Hill S; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.; Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada., Hawrylycz M; Allen Institute for Brain Science, Seattle, WA, USA., Koch C; Allen Institute for Brain Science, Seattle, WA, USA., Meijering E; School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, Australia. meijering@imagescience.org., Ascoli GA; Center for Neural Informatics, Structures and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA. ascoli@gmu.edu., Peng H; Institute for Brain and Intelligence, Southeast University, Nanjing, China. h@braintell.org.
Source: Nature methods [Nat Methods] 2024 Oct; Vol. 21 (10), pp. 1959.
Publication Type: Published Erratum
Journal Info: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39090383
AccessLevel: 2
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  Data: Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.
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          Name:
            NameFull: Cline HT
      – PersonEntity:
          Name:
            NameFull: Zeng H
      – PersonEntity:
          Name:
            NameFull: Nern A
      – PersonEntity:
          Name:
            NameFull: Chiang AS
      – PersonEntity:
          Name:
            NameFull: Yao J
      – PersonEntity:
          Name:
            NameFull: Roskams J
      – PersonEntity:
          Name:
            NameFull: Livesey R
      – PersonEntity:
          Name:
            NameFull: Stevens J
      – PersonEntity:
          Name:
            NameFull: Liu T
      – PersonEntity:
          Name:
            NameFull: Dang C
      – PersonEntity:
          Name:
            NameFull: Guo Y
      – PersonEntity:
          Name:
            NameFull: Zhong N
      – PersonEntity:
          Name:
            NameFull: Tourassi G
      – PersonEntity:
          Name:
            NameFull: Hill S
      – PersonEntity:
          Name:
            NameFull: Hawrylycz M
      – PersonEntity:
          Name:
            NameFull: Koch C
      – PersonEntity:
          Name:
            NameFull: Meijering E
      – PersonEntity:
          Name:
            NameFull: Ascoli GA
      – PersonEntity:
          Name:
            NameFull: Peng H
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2024 Oct
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1548-7105
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Nature methods
              Type: main
ResultId 1