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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.
Manubens-Gil, Linus; Zhou, Zhi; Chen, Hanbo; Ramanathan, Arvind; Liu, Xiaoxiao; Liu, Yufeng; Bria, Alessandro; Gillette, Todd; Ruan, Zongcai; Yang, Jian; Radojevic, Miroslav; Zhao, Ting; Cheng, Li; Qu, Lei; Liu, Siqi; Bouchard, Kristofer E; Gu, Lin; Cai, Weidong; Ji, Shuiwang; Roysam, Badrinath; Wang, Ching-Wei; Yu, Hongchuan; Sironi, Amos; Iascone, Daniel Maxim; Zhou, Jie; Bas, Erhan; Conde-Sousa, Eduardo; Aguiar, Paulo; Li, Xiang; Li, Yujie; Nanda, Sumit; Wang, Yuan; Muresan, Leila; Fua, Pascal; Ye, Bing; He, Hai-Yan; Staiger, Jochen F; Peter, Manuel; Cox, Daniel N; Simonneau, Michel; Oberlaender, Marcel; Jefferis, Gregory; Ito, Kei; Gonzalez-Bellido, Paloma; Kim, Jinhyun; Rubel, Edwin; Cline, Hollis T; Zeng, Hongkui; Nern, Aljoscha; Chiang, Ann-Shyn.
Afiliación
  • 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.
  • Radojevic M; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China.
  • Zhao T; Nuctech Netherlands, Rotterdam, the Netherlands.
  • Cheng L; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
  • Qu L; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada.
  • Liu S; Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Bouchard KE; Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing, Anhui University, Hefei, China.
  • Gu L; Paige AI, New York, NY, USA.
  • Cai W; Scientific Data Division and Biological Systems and Engineering Division, Lawrence Berkeley National Lab, Berkeley, CA, USA.
  • Ji S; Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience, UC Berkeley, Berkeley, CA, USA.
  • Roysam B; RIKEN AIP, Tokyo, Japan.
  • Wang CW; Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan.
  • Yu H; School of Computer Science, University of Sydney, Sydney, New South Wales, Australia.
  • Sironi A; Texas A&M University, College Station, TX, USA.
  • Iascone DM; Cullen College of Engineering, University of Houston, Houston, TX, USA.
  • Zhou J; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Bas E; National Centre for Computer Animation, Bournemouth University, Poole, UK.
  • Conde-Sousa E; PROPHESEE, Paris, France.
  • Aguiar P; Department of Neuroscience, Columbia University, New York, NY, USA.
  • Li X; Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
  • Li Y; Department of Computer Science, Northern Illinois University, DeKalb, IL, USA.
  • Nanda S; AWS AI, Seattle, WA, USA.
  • Wang Y; i3S, Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal.
  • Muresan L; INEB, Instituto de Engenharia Biomédica, Universidade Do Porto, Porto, Portugal.
  • Fua P; i3S, Instituto de Investigação E Inovação Em Saúde, Universidade Do Porto, Porto, Portugal.
  • Ye B; Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • He HY; Allen Institute for Brain Science, Seattle, WA, USA.
  • Staiger JF; Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, USA.
  • Peter M; Center for Neural Informatics, Structures and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA.
  • Cox DN; Program in Neuroscience, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, USA.
  • Simonneau M; Cambridge Advanced Imaging Centre, University of Cambridge, Cambridge, UK.
  • Oberlaender M; Computer Vision Laboratory, EPFL, Lausanne, Switzerland.
  • Jefferis G; Life Sciences Institute and Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.
  • Ito K; Department of Biology, Georgetown University, Washington, DC, USA.
  • Gonzalez-Bellido P; Institute for Neuroanatomy, University Medical Center Göttingen, Georg-August- University Göttingen, Goettingen, Germany.
  • Kim J; Department of Stem Cell and Regenerative Biology and Center for Brain Science, Harvard University, Cambridge, MA, USA.
  • Rubel E; Neuroscience Institute, Georgia State University, Atlanta, GA, USA.
  • Cline HT; 42 ENS Paris-Saclay, CNRS, CentraleSupélec, LuMIn, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Zeng H; Max Planck Group: In Silico Brain Sciences, Max Planck Institute for Neurobiology of Behavior - caesar, Bonn, Germany.
  • Nern A; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
  • Chiang AS; Division of Neurobiology, MRC Laboratory of Molecular Biology, Cambridge, UK.
Nat Methods ; 2024 Aug 02.
Article en En | MEDLINE | ID: mdl-39090383
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Nat Methods Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2024 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Nat Methods Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2024 Tipo del documento: Article País de afiliación: China