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Bony structure enhanced synthetic CT generation using Dixon sequences for pelvis MR-only radiotherapy.
Liang, Xiao; Yen, Allen; Bai, Ti; Godley, Andrew; Shen, Chenyang; Wu, Junjie; Meng, Boyu; Lin, Mu-Han; Medin, Paul; Yan, Yulong; Owrangi, Amir; Desai, Neil; Hannan, Raquibul; Garant, Aurelie; Jiang, Steve; Deng, Jie.
Affiliation
  • Liang X; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Yen A; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Bai T; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Godley A; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Shen C; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Wu J; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Meng B; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Lin MH; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Medin P; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Yan Y; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Owrangi A; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Desai N; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Hannan R; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Garant A; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Jiang S; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Deng J; Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Med Phys ; 50(12): 7368-7382, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37358195
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy, Intensity-Modulated Limits: Humans / Male Language: En Journal: Med Phys Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy, Intensity-Modulated Limits: Humans / Male Language: En Journal: Med Phys Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States