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A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.
Xiong, Zhaohan; Xia, Qing; Hu, Zhiqiang; Huang, Ning; Bian, Cheng; Zheng, Yefeng; Vesal, Sulaiman; Ravikumar, Nishant; Maier, Andreas; Yang, Xin; Heng, Pheng-Ann; Ni, Dong; Li, Caizi; Tong, Qianqian; Si, Weixin; Puybareau, Elodie; Khoudli, Younes; Géraud, Thierry; Chen, Chen; Bai, Wenjia; Rueckert, Daniel; Xu, Lingchao; Zhuang, Xiahai; Luo, Xinzhe; Jia, Shuman; Sermesant, Maxime; Liu, Yashu; Wang, Kuanquan; Borra, Davide; Masci, Alessandro; Corsi, Cristiana; de Vente, Coen; Veta, Mitko; Karim, Rashed; Preetha, Chandrakanth Jayachandran; Engelhardt, Sandy; Qiao, Menyun; Wang, Yuanyuan; Tao, Qian; Nuñez-Garcia, Marta; Camara, Oscar; Savioli, Nicolo; Lamata, Pablo; Zhao, Jichao.
Afiliação
  • Xiong Z; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
  • Xia Q; State Key Lab of Virtual Reality Technology and Systems, Beihang University, Beijing, China.
  • Hu Z; School of Electronics Engineering and Computer Science, Peking University, Beijing, China.
  • Huang N; SenseTime Inc, Shenzhen, China.
  • Bian C; Tencent Jarvis Laboratory, Shenzhen, China.
  • Zheng Y; Tencent Jarvis Laboratory, Shenzhen, China.
  • Vesal S; Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Ravikumar N; Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Maier A; Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Yang X; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong.
  • Heng PA; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong.
  • Ni D; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Li C; School of Computer Science, Wuhan University, Wuhan, China.
  • Tong Q; School of Computer Science, Wuhan University, Wuhan, China.
  • Si W; Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Puybareau E; EPITA Research and Development Laboratory, Paris, France.
  • Khoudli Y; EPITA Research and Development Laboratory, Paris, France.
  • Géraud T; EPITA Research and Development Laboratory, Paris, France.
  • Chen C; Department of Computing, Imperial College London, London, United Kingdom.
  • Bai W; Department of Computing, Imperial College London, London, United Kingdom.
  • Rueckert D; Department of Computing, Imperial College London, London, United Kingdom.
  • Xu L; School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Zhuang X; School of Data Science, Fudan University, Shanghai, China.
  • Luo X; School of Data Science, Fudan University, Shanghai, China.
  • Jia S; Inria, Université Côte d'Azur, Epione team, Sophia Antipolis, France.
  • Sermesant M; Inria, Université Côte d'Azur, Epione team, Sophia Antipolis, France.
  • Liu Y; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Wang K; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Borra D; Department of Electric, Electronic and Information Engineering, University of Bologna, Cesena, Italy.
  • Masci A; Department of Electric, Electronic and Information Engineering, University of Bologna, Cesena, Italy.
  • Corsi C; Department of Electric, Electronic and Information Engineering, University of Bologna, Cesena, Italy.
  • de Vente C; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • Veta M; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • Karim R; School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom.
  • Preetha CJ; Faculty of Electrical Engineering and Information Technology, University of Magdeburg, Magdeburg, Germany.
  • Engelhardt S; Department of Internal Medicine III, Heidelberg University Hospital, Heidelberg, Germany.
  • Qiao M; Biomedical Engineering Center, Fudan University, Shanghai, China.
  • Wang Y; Biomedical Engineering Center, Fudan University, Shanghai, China.
  • Tao Q; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Nuñez-Garcia M; Physense, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
  • Camara O; Physense, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
  • Savioli N; Department of Bioengineering, Kings College London, London, United Kingdom.
  • Lamata P; Department of Bioengineering, Kings College London, London, United Kingdom.
  • Zhao J; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand. Electronic address: j.zhao@auckland.ac.nz.
Med Image Anal ; 67: 101832, 2021 01.
Article em En | MEDLINE | ID: mdl-33166776
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benchmarking / Gadolínio Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Nova Zelândia
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benchmarking / Gadolínio Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Nova Zelândia