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Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) model.
Xiao, Haonan; Han, Xinyang; Zhi, Shaohua; Wong, Yat-Lam; Liu, Chenyang; Li, Wen; Liu, Weiwei; Wang, Weihu; Zhang, Yibao; Wu, Hao; Lee, Ho-Fun Victor; Cheung, Lai-Yin Andy; Chang, Hing-Chiu; Liao, Yen-Peng; Deng, Jie; Li, Tian; Cai, Jing.
Afiliação
  • Xiao H; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China 999077; Department of Radiation Oncology and Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, Ch
  • Han X; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China 999077.
  • Zhi S; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China 999077.
  • Wong YL; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China 999077.
  • Liu C; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China 999077.
  • Li W; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China 999077.
  • Liu W; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Beijing Cancer Hospital & Institute, Peking University Cancer Hospital & Institute, Beijing 100000, China.
  • Wang W; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Beijing Cancer Hospital & Institute, Peking University Cancer Hospital & Institute, Beijing 100000, China.
  • Zhang Y; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Beijing Cancer Hospital & Institute, Peking University Cancer Hospital & Institute, Beijing 100000, China.
  • Wu H; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Beijing Cancer Hospital & Institute, Peking University Cancer Hospital & Institute, Beijing 100000, China.
  • Lee HV; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China 999077.
  • Cheung LA; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China 999077.
  • Chang HC; Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China 999077.
  • Liao YP; Department of Radiation Oncology's Division of Medical Physics & Engineering, University of Texas Southwestern Medical Center, Texas 75390, USA.
  • Deng J; Department of Radiation Oncology's Division of Medical Physics & Engineering, University of Texas Southwestern Medical Center, Texas 75390, USA.
  • Li T; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China 999077. Electronic address: litian.li@polyu.edu.hk.
  • Cai J; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China 999077. Electronic address: jing.cai@polyu.edu.hk.
Radiother Oncol ; 189: 109948, 2023 12.
Article em En | MEDLINE | ID: mdl-37832790
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias Hepáticas Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias Hepáticas Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article