Prediction of dMRI signals with neural architecture search.

Journal: Journal of neuroscience methods
Published Date: Oct 20, 2021

Abstract

BACKGROUND: There is growing interest in the neuroscience community in estimating and mapping microscopic properties of brain tissue non-invasively using magnetic resonance measurements. Machine learning methods are actively investigated to predict the signals measured in diffusion magnetic resonance imaging (dMRI).

Authors

  • Haoze Chen
    School of Instruments and Electronics, North University of China, Taiyuan, China.
  • Zhijie Zhang
    School of Instruments and Electronics, North University of China, Taiyuan, China.
  • Mingwu Jin
    Department of Physics, University of Texas at Arlington, 502 Yates Street, Box 19059, Arlington, TX 76019, United States. Electronic address: mingwu@uta.edu.
  • Fengxiang Wang
    Department of Information and Telemedicine, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China 450052.

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