Xiang Li     李翔 Ph.D. candidate Center for Medical Artificial Intelligence Shandong University of Traditional Chinese Medicine Qingdao, China, 266112 Email: lixiang at sdutcm dot edu dot cn [ Google Scholar ] [ Github ]

Biography

I am a Ph.D. candidate in the First Clinical Medical College, Shandong University of Traditional Chinese Medicine, advised by Prof. Benzheng Wei. In addition, I also lead a brain image analysis group at the Center for Medical Artificial Intelligence of Shandong University of Traditional Chinese Medicine, working on developing intelligent neuroimaging analysis methods for multi-modal, multi-omics, and multi-center. Before that, I received my M.S. degree in biomedical engineering from the College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, in 2021.

My research interests are primarily in developing advanced machine learning algorithms to assist radiologists in achieving fast and easy medical image analysis, including but not limited to brain image representation learning and bladder MRI image analysis.

Publications

• Xiang Li, Jinyu Cong, Kunmeng Liu, Pingping Wang, Min Sun, Benzheng Wei. Aberrant intrinsic functional brain topology in methamphetamine-dependent individuals after six-months of abstinence. Mathematical Biosciences and Engineering, 2023, 20(11): 19565-19583. doi: 10.3934/mbe.2023867.
• Hang Yuan, Xiang Li, Benzheng Wei. Modeling default mode network patterns via a universal spatio-temporal brain attention skip network. NeuroImage, 2024: 120522. doi: 10.1016/j.neuroimage.2024.120522.
• Hang Yuan, Xiang Li, Benzheng Wei. MPANet: Multi-scale Pyramid Attention Network for Collaborative Modeling Spatio-temporal Patterns of Default Mode Network. 36th Australasian Joint Conference on Artificial Intelligence, 2023 (oral). doi: 10.1007/978-981-99-8388-9_34.
• Guixiang Liang, Xiang Li, Hang Yuan, Min Sun, Sijun Qin, Benzheng Wei. Abnormal static and dynamic amplitude of low-frequency fluctuations in multiple brain regions of methamphetamine abstainers. Mathematical Biosciences and Engineering, 2023, 20(7): 13318-13333. doi: 10.3934/mbe.2023593.
• Yixing Wang, Xiang Li, Xiufen Ye. LCANet: A Lightweight Context-Aware Network for Bladder Tumor Segmentation in MRI Images. Mathematics, 2023; 11(10):2357, doi: 10.3390/math11102357.
• Xiaoli Zhang, Kunmeng Liu, Kuixing Zhang, Xiang Li, Zhaocai Sun, Benzheng Wei. SAMS-Net: Fusion of attention mechanism and multi-scale features network for tumor infiltrating lymphocytes segmentation. Mathematical Biosciences and Engineering, 2023, 20(2): 2964-2979. doi: 10.3934/mbe.2023140.
• Kunmeng Liu, Xiaoming Zhang, Yuanjia Hu, Weijie Chen, Xiangjun Kong, Peifen Yao, Jinyu Cong, Huali Zuo, Jian Wang, Xiang Li, Benzheng Wei. What, Where, When and How of COVID-19 Patents Landscape: A Bibliometrics Review. Frontiers in Medicine, 9 (2022): 925369, doi: 10.3389/fmed.2022.925369.
• Hang Yuan, Xiaohua Yu, Xiang Li, Sijun Qin, Guixiang Liang, Tianyu Bai, Benzheng Wei. Research on resting spontaneous brain activity and functional connectivity of acupuncture at uterine acupoints. Digital Chinese Medicine, 5(1), pp.59-67, 2022, doi: 10.1016/j.dcmed.2022.03.006.
• ChengChao Xu, XiaoHua Yu, Liang Yin, Xiang Li, WanLi Zhang, Fei Li, TianYu Bai. Functional magnetic resonance imaging study of electroacupuncture stimulating uterine acupoints. Computational and Mathematical Methods in Medicine, 2022, doi: 10.1155/2022/4295985.
• Yue Liu, Xiang Li, Tianyang Li, Bin Li, Zhensong Wang, Jie Gan, Benzheng Wei. A deep semantic segmentation correction network for multi-model tiny lesion areas detection. BMC Medical Informatics and Decision Making, 21(2), pp.1-9, doi: 10.1186/s12911-021-01430-z.
• Xiang Li, Benzheng Wei, Tianyang Li, Na Zhang. MwoA auxiliary diagnosis via RSN-based 3D deep multiple instance learning with spatial attention mechanism. 2020 11th International Conference on Awareness Science and Technology (iCAST), Qingdao, China, 2020, pp. 1-6, doi: 10.1109/iCAST51195.2020.9319486.
• Yanfei Hong, Benzheng Wei, Zhongyi Han, Xiang Li, Yuanjie Zheng, Shuo Li. MMCL-Net: Spinal Disease Diagnosis in Global Mode using Progressive Multi-task Joint Learning. Neurocomputing, pp.307-316, 2020, doi: 10.1016/j.neucom.2020.01.112.
• Min Liu, Kuixing Zhang, Liping Li, Juanjuan Hou, Xiang Li, Benzheng Wei. Classification of epileptic EEG signals based on residual attention module neural network. Beijing Biomedical Engineering,2023,42(03):263-270. (In Chinese)
• Libin Liu, Xiang Li, Benzheng Wei, Kuixing Zhang. Multi-scale edge optimization MRI segmentation algorithm for bladder cancer based on Swin Transformer. Journal of Biomedical Engineering Research,2023,42(01):43-49.DOI:10.19529/j.cnki.1672-6278.2023.01.07. (In Chinese)
• Sijun Qin,Xiang Li, Yunfeng Xu, Benzheng Wei. Application of diffusion tensor imaging technique in white matter disease. Journal of Biomedical Engineering Research,2022,41(03):324-331.DOI:10.19529/j.cnki.1672-6278.2022.03.15. (In Chinese)
• Na Zhang, Yongshou Zhang, Xiang Li, Jinyu Cong, Xuzhou Li, Benzheng Wei. Segmentation algorithm of Lightweight bladder cancer MRI images based on multi-scale feature fusion. Journal of Shaanxi Normal University(Natural Science Edition),2022,50(03):89-95.DOI:10.15983/j.cnki.jsnu.2022110. (In Chinese)
• Xiang Li, Benzheng Wei, Hongyun Wu, Xuzhou Li, Yanfei Hong, Jinyu Cong. 3D-CNN auxiliary diadnosis algorithm for migraine without aura. Computer Engineering and Applications,2022,58(04):169-176. (In Chinese)

Awards and Honors

Outstanding Paper Second Prize, The 5th annuversary of Digital Chinese Medicine, 2022

Third Prize, Excellent Achievement Award for Graduate Students of Shandong University, 2021

Best Paper Award, Healthcare Big Data and Artificial Intelligence Frontiers Forum (HealthBDAI 2020), 2020

Outstanding Volunteer, CCF-ICAI International Conference on Artificial Intelligence, 2018

Outstanding Graduate, Shandong Youth University of Political Science, 2018