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  管月

  管月，博士，欧洲杯压住平台助理研究员。管月博士分别于2013年及2018年在南京大学获得学士和博士学位。博士毕业后进入欧洲杯压住平台进行博士后研究，随后加入欧洲杯压住平台担任助理研究员至今。目前的研究方向包括快速高分辨率磁共振成像、深度学习及多模态脑影像智能分析与处理。在领域重要学术期刊如《IEEE Transactions on Medical Imaging》, 《Magnetic Resonance in Medicine》, 《Journal of Magnetic Resonance Imaging》等发表论文十余篇。研究工作获得国际磁共振顶级会议ISMRM年度临床科研领域的最高荣誉W. S. Moore Award，并多次获得ISMRM Oral或Power Pitch展示。授权发明专利及软件著作权多项。主持国家自然科学青年基金。

2009-2013 南京大学学士

2013-2018 南京大学博士

快速高分辨率磁共振成像，深度学习及多模态脑影像智能分析与处理

Selected paper

1. Guan Yue, Li Y, Liu R, et al. Subspace Model-Assisted Deep Learning for Improved Image Reconstruction. IEEE Trans. Med. Imaging, 2023.

2. Guan Yue, Li Y, Liu R, et al. Model-Assisted Deep Learning-Based Reconstruction: Does the Model Help? Proc. Intl. Soc. Magn. Reson. Med., 2023. (ISMRM Oral)

3. Mao Yingfan, Wang Jincheng, Zhu Yong, Chen Jun, Mao Liang, Kong Weiwei, Qiu Yudong, Wu Xiaoyan*, Guan Yue*, He Jian*. Gd-EOB-DTPA-enhanced MRI radiomic features for predicting histological grade of hepatocellular carcinoma[J]. Hepatobiliary Surgery and Nutrition, 2022.

4. Lin Z, Meng Z, Wang T, Guo R, Zhao Y, Li Y, Bo B, Guan Yue, et al. Predicting the Onset of Ischemic Stroke with Fast High-Resolution 3D MR Spectroscopic Imaging[J]. Journal of Magnetic Resonance Imaging, 2022. (ISMRM W. S. Moore Award)

5. Guan Yue, Li Y, Liu R, Meng Z, et al. Image reconstruction with subspace-assisted deep learning. Proc. Intl. Soc. Magn. Reson. Med., 2022. (ISMRM Power Pitch)

6. Guan Yue, Li Yi, Peng X, et al. Learn to Better Regularize in Constrained Reconstruction. Proc. Intl. Soc. Magn. Reson. Med., 2021.

7. Guan Yue, Li Y, Meng Z, et al. Highly Accelerated MPRAGE Imaging of the Brain Incorporating Deep Learning Priors with Subject-Specific Novel Features. Proc. Intl. Soc. Magn. Reson. Med., 2020. (ISMRM Oral Power Pitch, 6% acceptance rate)

8. Zhou Q^#, Guan Yue^#, Mao L, et al. Modification and establishment of CT criteria in preoperative assessment of portal venous invasion by hilar cholangiocarcinoma[J]. HPB, 2018, 20(12):1163-1171.

9. Guan Yue, Li W, Jiang Z, et al. Value of Whole-lesion Apparent Diffusion Coefficient (ADC) First-order Statistics and Texture Features in Clinical Staging of Cervical Cancers[J]. Clinical Radiology, 2017, 72(11).

10. Guan Yue, Li W, Jiang Z, et al. Whole-Lesion Apparent Diffusion Coefficient-Based Entropy-Related Parameters for Characterizing Cervical Cancers: Initial Findings[J]. Academic Radiology, 2016, 23(12): 1559-1567.