• Xiaoyong Zhang
  • Research Direction:Quantitative MRI of the Brain Functional MRI Molecular Imaging
  • Email:xiaoyong_zhang@fudan.edu.cn
  • Website:
  • Brief Introduction:Dr. Xiao-Yong Zhang is an associate professor at the Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University. He serves as a committee member of the Brain Atlas Committee of the China Graphics Society, the International Exchange Working Group of the Chinese Society of Radiology, and the Medical Image Computing Seminar. His research primarily revolves magnetic resonance imaging (MRI) of the brain, artificial intelligence analysis, and molecular imaging. He places specific emphasis on visualizing the brain microenvironment and developing machine learning algorithms based on imaging data. He has made several original contributions in the field of magnetic resonance metabolic imaging and published over 50 academic papers. His noteworthy works have been featured in journals including Advanced Science, IEEE Transactions on Medical Imaging, and Cancer Research. The International Society for Magnetic Resonance in Medicine (ISMRM) has highlighted his research achievements as research highlights. Additionally, Dr. Zhang has led various research projects funded by the National Natural Science Foundation of China and Shanghai municipal projects as a principal investigator.
  • Achievement:

    Selected publications:

    1. Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng*, Xiao-Yong Zhang*. MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. IEEE Transactions on Medical Imaging. 2023 Apr;42(4):1197-1209.

    2. Shengjie Zhang, Bohan Ren, Ziqi Yu, Haibo Yang, Xiaoyang Han, Xiang Chen, Yuan Zhou, Dinggang Shen*, Xiao-Yong Zhang*. TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation. IEEE Journal of Biomedical and Health Informatics. 2023 Feb;27(2):1072-1083.

    3. Ziqi Yu, Xiaoyang Han, Wenjing Xu, Jie Zhang, Carsten Marr, Dinggang Shen, Tingying Peng*, Xiao-Yong Zhang*, Jianfeng Feng. a generalizable brain extraction net (BEN) for multimodal MRI data from rodents, nonhuman primates, and humans. eLife. 2022 Dec 22; 11:e81217.

    4. Bingke Ma, Xingyue Shan, Juehua Yu, Tailin Zhu, Ren Li,Hui Lv,Haidi Cheng,Tiantian Zhang, Lihua Wang, Feiyang Wei, Bo Meng, Xiaobing Yuan, Bing Mei* , Xiao-Yong Zhang*, Wei-Guang Li*, and Fei Li*. Social deficits via dysregulated Rac1-dependent excitability control of prefrontal cortical neurons and increased GABA/glutamate ratios. Cell Reports. 2022 Nov 29;41(9):111722. DOI: 10.1016/j.celrep.2022.111722  

    5. Ziyi Jin, Qi Yue, Wenjia Duan, An Sui, Botao Zhao, Yinhui Deng, Yuting Zhai, Yuwen Zhang, Tao Sun, Guang-Ping Zhang, Limei Han, Ying Mao*, Jinhua Yu*, Xiao-Yong Zhang*, Cong Li*. Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis. Advanced Science. 2022, 9(7): e2104935. doi: 10.1002/advs.202104935.

    6. Cuicui Liu, Jiankun Qiang, Qiaodan Deng, Jie Xia, Lu Deng, Lei Zhou, Dong Wang, Xueyan He, Ying Liu, Botao Zhao, Jinhui Lv, Zuoren Yu, Qun-Ying Lei, Zhi-Ming Shao*, Xiao-Yong Zhang*, Lixing Zhang*, Suling Liu*. ALDH1A1 Activity in Tumor-Initiating Cells Remodels Myeloid-Derived Suppressor Cells to Promote Breast Cancer Progression. Cancer Research. 2021 Dec 1;81(23):5919-5934.

    7. Wenxiu He, Qiyong Mei, Jie Li, Yuting Zhai, Yiting Chen, Rui Wang, Enhao Lu, Xiao-Yong Zhang*, Zhiyong Zhang*, Xianyi Sha*. Preferential Targeting Cerebral Ischemic Lesions with Cancer Cell-Inspired Nanovehicle for Ischemic Stroke Treatment. Nano Letters. 2021, 21(7): 3033–3043.

    8. Xiao-Yong Zhang, Yuting Zhai, Ziyi Jin, Cong Li, Philip Zhe Sun, Yin Wu. Preliminary demonstration of in vivo quasi-steady-state CEST postprocessing - Correction of saturation time and relaxation delay for robust quantification of tumor MT and APT effects, Magnetic Resonance in Medicine, 2021; 86(2): 943-953.