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  • He Wang
  • Research Direction:Magnetic Resonance Imaging Radiomics
  • Email:hewang@fudan.edu.cn
  • Website:http://he-fudan.gitee.io/personal-profile/index 或 https://faculty.fudan.edu.cn/wanghe/zh_CN
  • Brief Introduction:Dr. He Wang is an Associate Professor/Principle Investigator at Fudan University, Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI). After receiving B.S. and Ph.d. in Physics at East China Normal University, Dr. Wang performed his postdoc work with Dr. Xiaoping Hu at Emory. In the later 8 years, he worked for GE and Philips, where his work was focused on MR pulse sequence design, image reconstruction and image post processing. He has cooperated with more than 30 top hospitals of China, including Peking Cancer hospital, Peking University No.1 hospital, Ruijin hospital, Zhongshan hospital, Wuhan Tongji hospital and so on. He is a reviewer of J Magn Reson Imaging, Front Neurosci, BMEOL, and so on. Dr. Wang is interested in quantitative MR imaging, Oncology imaging, Radiomics, Machine learning on Medical imaging.
  • Achievement:

    1.Wang CY#, Shi Z#, Yang M, Huang LX, Fang WX, Jiang L, Ding J*,Wang H*. Deep Learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA. J Cereb Blood Flow Metab. 2021; doi:10.1177/0271678X211023660.

    2.Meng XF#, Zhang BY#, Yi Y, Cheng Hui, Wang BM, Liu YY, Gong T, Yang W, Yao YF,Wang H*, Bu WB*. Accurate and Real-Time Temperature Monitoring during MR Imaging Guided PTT. Nano Letters. 2020; DOI: 10.1021/acs.nanolett.9b05267.

    3.Wang KX, Wang S, Xiong MH, Wang CY*,Wang H*. Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics. MICCAI 2021, LNCS 12907, pp.1-10, 2021.

    4.Wang H*, Zheng RC, Dai F, Wang QF, Wang CY*. High-field MR Diffusion-weighted Image Denoising Using a Joint Denoising Convolutional Neural Network. J Magn Reson Imaging. 2019;50(6):1937-1947.

    5.Xie TW#, Wang Z#, Zhao QF, Bai QM, Zhou XY, Gu YJ, Peng WJ*,Wang H*. Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer. Front Oncol. 2019; DOI: 10.3389/fonc.2019.00505.