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  佘华君

  佘华君博士，2001年和2004年获得76net必赢官网学士和硕士学位，2014年获得美国犹他大学电子与计算机工程系博士学位，其后加入美国德克萨斯大学西南医学中心进行博士后研究，2018年加入76net必赢官网。研究特点是：结合人工智能、图像处理、数学优化和并行计算，实现快速高清晰度实时图像处理及医学图像分析。在脑髓鞘成像、4D动态成像、化学交换饱和转移成像、定量磁化率成像、水脂分离成像等领域取得了一系列研究成果，发表Medical Image Analysis、IEEE Transactions on Medical Imaging、Computers in Biology and Medicine、Journal of Magnetic Resonance Imaging、IEEE Transactions on Biomedical Engineering、Magnetic Resonance in Medicine、Quantitative Imaging in Medicine and Surgery、Magnetic Resonance Imaging、NMR in Biomedicine等权威学术期刊10余篇。国际医学磁共振学会（ISMRM）会员，国际华人医学磁共振学会（OCSMRM）会员，IEEE Transactions on Medical Imaging, Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging等期刊审稿人。获得国际医学磁共振学会（ISMRM）Magnetic Resonance in Medicine期刊Distinguished Reviewer Award，国际医学磁共振学会（ISMRM）Travel Stipend等奖项。

1. Wang Z, She H*, Zhang Y, Du YP. Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI. Medical Image Analysis. 2023;84:102701.

2. Chen Q, She H*, Du YP*. Whole brain myelin water mapping in one minute using tensor dictionary learning with low-rank plus sparse regularization. IEEE Transactions on Medical Imaging. 2021;40:1253-1266.

3. Liu B, Ding Z, Zhang Y, She H*, Du YP*. Scan-specific unsupervised highly accelerated non-Cartesian CEST imaging using implicit neural representation and explicit sparse prior. IEEE Transactions on Biomedical Engineering. 2024.

4. Liu B, Ding Z, Zhang Y, She H*, Du YP*. Low-rank tensor subspace decomposition with weighted group sparsity for the acceleration of non-Cartesian dynamic MRI. IEEE Transactions on Biomedical Engineering. 2023;70:681-693.

5. Li B, She H*. Improved motion correction in brain MRI using 3D radial trajectory and projection moment analysis. Magnetic Resonance in Medicine. 2024.

6. Li S, Shen C, Ding Z, She H*, Du YP. Accelerating multi-echo chemical shift encoded water-fat MRI using model-guided deep learning. Magnetic Resonance in Medicine. 2022;88:1851-1866.

7. Zhang Y, She H*, Du YP. Dynamic MRI of the abdomen using parallel non-Cartesian convolutional recurrent neural networks. Magnetic Resonance in Medicine. 2021;86:964-973.

9. She H, Chen R, Liang D, DiBella E, Ying L*. Sparse BLIP: blind iterative parallel imaging reconstruction using compressed sensing. Magnetic Resonance in Medicine. 2014;71:645-660.

10. Li S, Wang Z, Ding Z, She H*, Du YP*. Accelerated 4D free-breathing whole-liver water-fat MRI with deep dictionary learning and chemical shift modeling. Quantitative Imaging in Medicine and Surgery. 2024;14:2884-2903.

11. Li B, Ding Z, She H*. Fast T2 mapping of short-T2 tissues in knee using 3D radial dual-echo balanced steady-state free precession. Magnetic Resonance Imaging. 2024;107:149-159.

12. She H, Chen R, Liang D, DiBella E, Ying L*. Image reconstruction from phased-array data based on multichannel blind deconvolution. Magnetic Resonance Imaging. 2015;33:1106-1113.

13. Feng R, Wu Q, Feng J, She H, Liu C, Zhang Y, Wei H*. IMJENSE: Scan-specific implicit representation for joint coil sensitivity and image estimation in parallel MRI. IEEE Transactions on Medical Imaging. 2023.
14. Qu B, Zhang J, Kang T, Lin J, Lin M, She H, Wu Q, Wang M, Zheng G*. Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network. Computers in Biology and Medicine. 2024;168:107707.
15. Chen Q, She H, Du YP*. Improved quantification of myelin water fraction using joint sparsity of T2* distribution. Journal of Magnetic Resonance Imaging. 2020;52:146-158.

16. Ding Z, Cheng Z, She H, Liu B, Yin Y, Du YP*. Dynamic pulmonary MRI using motion-state weighted motion-compensation (MostMoCo) reconstruction with ultrashort TE: A structural and functional study. Magnetic Resonance in Medicine. 2022;88:224-238.

17. Zufiria B, Qiu S, Yan K, Zhao R, Wang R, She H, Zhang C, Sun B, Herman P, Du YP, Feng Y*. A feature-based convolutional neural network for reconstruction of interventional MRI. NMR in Biomedicine. 2022;35:e4231. 

18. Mao X, Chen R, She H, Boroujeny F*. Decorrelation MIMO receiver for block fading channels. IEEE Communications Letters. 2013;17:2112-2115.