个人简历：
梁栋博士现为中国科学院深圳先进技术研究院研究员，国家杰青，曾获得国家科技进步一等奖，近五年以通讯作者身份在知名期刊发表论文40多篇，并承担各项科研项目总金额达2000多万。2021年毕业的博士生获得中国科学院院长特别奖，他本人获得中国科学院优秀导师奖。
研究领域：
压缩感知
机器学习
医学成像
图像重建
代表性论文：
Z Ke, W Huang, Z Cui, J Cheng, S Jia, H Wang, X Liu, H Zheng, L Ying, Y Zhu*, D Liang*, Learned Low-rank Priors in Dynamic MR Imaging, IEEE Trans. on Medical Imaging, DOI: 10.1109/TMI.2021.3096218, 2021
J Cheng#, Z Cui#, W Huang, Z Ke, L Ying, H Wang, Y Zhu, D Liang*, Learning data consistency and its application to MR dynamic imaging, IEEE Transactions on Medical Imaging, 11: 3140-3153, 2021
W Huang#, Z Ke#, Z Cui, J Cheng, Z Qiu, S Jia, L Ying, Y Zhu, D Liang*, Deep low-Rank plus sparse network for dynamic MR imaging. Medical Image Analysis, 73:102190, 2021
C Quan, Cong and J Zhou, Y Zhu and Y Chen and S Wang, D Liang* and Q Liu*, Homotopic Gradients of Generative Density Priors for MR Image Reconstruction, IEEE Transactions on Medical Imaging, 10.1109/TMI.2021.3081677, 2021
H Zhou, C Cheng, H Peng, D Liang, X Liu, H Zheng, C Zou, The PHU‐NET: A robust phase unwrapping method for MRI based on deep learning, Magnetic Resonance in Medicine, DOI: 10.1002/mrm.28927,2021
S Wang, J Lv, Z He, D Liang*, Y Chen, M Zhang, Q Liu*, Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction, Neurocomputing, 437: 325-338, 2021
Z Qiu#, S Jia#, S Su, Y Zhu, X Liu, H Zheng, Dong Liang*, H Wang, Highly accelerated parallel MRI using wave encoding and virtual conjugate coils, Magnetic Resonance in Medicine, DOI: 10.1002/mrm.28803, 2021
S Su#, Z Qiu#, C Luo, C Shi, L Wan, Y Zhu, Y Li, X Liu, H Zheng, D Liang*, H Wang*. Accelerated 3D bSSFP using A Modified Wave-CAIPI Technique with Truncated Wave Gradients, IEEE Transactions on Medical Imaging, 40:48-58, 2021
Y Zhu#, Y Liu# ,L Ying, Z Qiu, Q Liu, S Jia, H Wang, X Liu, H Zheng, D Liang, A 4-minute solution for submillimeter whole-brain T1rho quantification, Magnetic Resonance in Medicine, 85:3299-3307, 202110.
Y Ge, P Liu, Y Ni, J Chen, J Yang, T Su, H Zhang, J Guo, H Zheng, Z Li* and D Liang*, Enhancing the X-ray differential phase contrast image quality with deep learning technique, IEEE Transactions on Biomedical Engineering, 68: 1751-1758, 2021
