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  管月

  管月，博士，188BET金宝搏官网助理研究员。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188BET金宝搏官网进行博士后研究，随后加入188BET金宝搏官网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、深度学习及多分子脑影像智能分析与临床转化。在领域重要学术期刊如《IEEE Transactions on Medical Imaging》, 《IEEE Transactions on Biomedical Engineering》，《Magnetic Resonance in Medicine》 等发表论文二十余篇。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，以及优秀论文奖 (ISMRM Summa Cum Laude Award, ISMRM Magna Cum Laude 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，多分子脑影像智能分析与临床转化

1. 国家自然基金青年项目，融合深度学习与稀疏模型的超快速高分辨率人脑T1加权磁共振成像方法研究，2021/1-2023/12，课题负责人

2. 188BET金宝搏官网医工交叉青年项目，抗精神药物个体化疗效预测，2024.1.1-2026.12.31，合作主持

3. 188BET金宝搏官网医工交叉青年项目，基于多模态数据构建DBS干预难治性强迫症的疗效预测模型，2024.1.1-2026.12.31，合作主持

Selected paper

1.Guan Yue, Liu Ruihao, Li Yudu, Bo Bin, Tang Weijun, Feng Shuoyun, Sheng Tianyang, Zhao Yibo, Jin Wen, Chen Xiangjun, Liang Zhi-Pei, and Li Yao. Simultaneous High-Resolution 3D Metabolic Imaging and Myelin/Axonal Water Fraction Mapping in Multiple Sclerosis Using SPICE. Proc. Intl. Soc. Magn. Reson. Med., 2025. 

2. Zhang Yunpeng, Zhuang Huixiang, Guan Yue*, Li Yao. Robust Bayesian Brain Extraction by Integrating Structural Subspace-Based Spatial Prior into Deep Neural Networks, Computerized Medical Imaging and Graphics, 2025，Accept.

3. Ke Ziwen#, Guan Yue#, Wang Tianyao, Zhuang Huixiang, Zhang Yunpeng, Ren Jing-Ya, Dong Su-Zhen, Chen Zijun and Li Yao. Fast and Stable Neonatal Brain MR Imaging Using Integrated Learned Subspace Model and Deep Learning, IEEE Transactions on Biomedical Engineering, 2025.

4. Guan Yue, Li Yudu, Ke Ziwen, Peng Xi, Liu Ruihao, Li Yao, Du P. Yiping, Liang Zhi-Pei. Learning-Assisted Fast Determination of Regularization Parameter in Constrained Image Reconstruction, IEEE Transactions on Biomedical Engineering, 2024.

5. Zhuang Huixiang, Guan Yue, Ding Yi, Xu Chang, Ma Yuhao, Meng Ziyu, Liu Ruihao, Zhi-Pei Liang, and Li Yao. Segmentation of Brain Lesions Using Posterior Distributions Learned by Subspace-assisted Generative Model. Proc. Intl. Soc. Magn. Reson. Med., 2024. (ISMRM Summa Cum Laude Merit Award)

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

7. 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，top5%)

8. 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)

9. Li Yudu, Guan Yue, Zhao Yibo, Guo Rong, Li Yao, and Liang Zhi-Pei, Integrating subspace learning, manifold learning, and sparsity learning to reconstruct image sequences, Proc. Intl. Soc. Magn. Reson. Med., 2022. (ISMRM Magna Cum Laude Merit Award)

10. 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)

11. 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)