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Dual-domain convolutional neural networks for improving structural information in 3 T MRI.
Zhang, Yongqin; Yap, Pew-Thian; Qu, Liangqiong; Cheng, Jie-Zhi; Shen, Dinggang.
Affiliation
  • Zhang Y; School of Information Science and Technology, Northwest University, Xi'an 710127, China; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA. Electronic address: zhangyongqin@nwu.edu.cn.
  • Yap PT; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA. Electronic address: ptyap@med.unc.edu.
  • Qu L; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA. Electronic address: liangqiong@med.unc.edu.
  • Cheng JZ; Shanghai United Imaging Intelligence Co., Ltd., Shanghai 201807, China.
  • Shen D; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA; Department of Brain and Cognitive Engineering, Korea University, Seoul 136713, South Korea. Electronic address: dgshen@med.unc.edu.
Magn Reson Imaging ; 64: 90-100, 2019 12.
Article in En | MEDLINE | ID: mdl-31175927
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Neural Networks, Computer / Epilepsy Limits: Humans Language: En Journal: Magn Reson Imaging Year: 2019 Document type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Neural Networks, Computer / Epilepsy Limits: Humans Language: En Journal: Magn Reson Imaging Year: 2019 Document type: Article