个人信息

获得清华大学博士学位，2017年入职bob手机在线登陆计算学院，副研究员。目前主要从事医疗数据挖掘和智能医学影像等领域研究。已经发表30余篇SCI论文和会议论文，包括Medical Image Analysis, Neuroimage, Human Brain Mapping, Magnetic Resonance in Medicine, Neurocomputing, Journal of Magnetic Resonance Imaging, American Journal of Geriatric Psychiatry, ISMRM, OHBM等。主持或参与多项国家课题，包括国家自然科学基金青年项目、国家自然科学基金面上项目、科技部重点研发计划项目等。国际医学磁共振学会（ISMRM）会员，国际人类脑图谱学会( OHBM) 会员，IEEE国际医学影像物理和工程大会组织委员（第八届中国医学影像物理学术年会）, 中国图象图形学会会员，类脑专委会委员。2020年带领团队参加国际医学影像国际医学顶级会议MICCAI组织的血管瘤检测和分割挑战赛获得全球总冠军。

科研方向

1）基于超图、异构脑网络图卷积人工智能，智能医疗图象，医疗数据挖掘；

2）大脑超高分辨率成像；

3）脑血管数字化智能平台研究；

4）脑连接组学为基础的脑启发算法研究, 类脑计算。

代表性学术成果

[1] YFan Z,Li Xuesong, Qiao Yufei, Shang Ruihong, Shi Gen, Nagarajan Srikantan S, Cheung Steven W, Shang Yingying, and Guo Hua.Widespread Plasticity of Cognition-Related Brain Networks in Single-Sided Deafness Revealed by Randomized Window-Based Dynamic Functional Connectivity. Medical Image Analysis. 2021, In press. (corresponding author) (IF= "11.148)

[2] Shi Gen,Li Xuesong, Zhu Yifan, Shang Ruihong, Sun Yang, Guo Hua, Sui Jie. The divided brain: Functional brain asymmetry underlying self-construal. Neuroimage. 2021, In press. (corresponding author) (IF= "6.556)

[3]Li Xuesong, Steffens David, Potter Guy, Guo Hua, Song Sen, and Wang Lihong. Decreased between-hemisphere connectivity strength and network efficiency in geriatric depression. Human Brain Mapping, 2017, 38: 53-67. (IF= "5.038)

[4]Li Xuesong, Ma Xiaodong, Li Lyu, Zhang Zhe, Zhang Xue, Tong Yan, Wang Lihong, Song Sen, Guo Hua. Dual-TRACER: High Resolution fMRI with Constrained Evolution Reconstruction. Neuroimage. 2018, 164:172-182. (IF= "6.556)

[5]Li Xuesong, Cao Tianle, Tong Yan, Ma Xiaodong, Niu Zhendong, Guo Hua. Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory, Neurocomputing,2019. (IF= "5.719)

[6] Yufei Qiao,Xuesong Li, Hang Shen, Xue Zhang, Yang Sun,Wenyang Hao, Bingya Guo, Daofeng Ni, Zhiqiang Gao, Hua Guo, Yingying Shang. Downward cross-modal plasticity in single-sided deafness, Neuroimage,2019 (co-first author). (IF= "6.556)

[7]Li Xuesong, Xiong Yuhui, Liu Simin, Zhou Rongsong, Hu Zhangxuan, Tong Yan,

He Le, Niu Zhendong, Ma Yu, Guo Hua. Predicting the Post-therapy Severity Level (UPDRS-III) of Patients With Parkinson’s Disease After Drug Therapy by Using the Dynamic Connectivity Efficiency of fMRI. Frontiers in Neurology, 2019. (IF= "4.003)

[8] Qiao Lei,Li Xuesong, Umer Qasim, Guo Ping. Deep learning based software defect prediction, Neurocomputing. 2020 (corresponding author). (IF= "5.719)

[9]Li Xuesong, Qiao Yufei, Shen Hang, Niu Zhendong, Shang Yingying, Guo Hua. Topological reorganization after partial auditory deprivation---a structural connectivity study in single-sided deafness, Hearing Research, 2019, 380: 75-83. (IF= "3.208)

[10]Li Xuesong, Song Sen, Potter Guy, Steffens David, Wang Lihong. Unstable Structural Connectivity and Low Connectivity Efficiency in Patients Remitted from GeriatricDepression, American Journal of GeriatricPsychiatry, 2015.

[11] Shang Ruihong, He Le, Ma Xiaodong, Ma Yu,Li Xuesong, Connectome-Based Model Predicts Deep Brain Stimulation Outcome in Parkinson's Disease, 2020. (corresponding author)

[12] Su Ziyu, Jia Yizhuan, Liao Weibin, Lv Yi, Jiaqi Dou, Zhongwei Sun,Li Xuesong(2021) 3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge. In: Hennemuth A., Goubergrits L., Ivantsits M., Kuhnigk JM. (eds) Cerebral Aneurysm Detection. CADA 2020. Lecture Notes in Computer Science, Springer, Cham. (corresponding author)

[13] Jia Yizhuan,Weibin Liao, Lv Yi, Su Ziyu, Dou Jiaqi, Sun Zhongwei,Li Xuesong. (2021) Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet. In: Hennemuth A., Goubergrits L., Ivantsits M., Kuhnigk JM. (eds) Cerebral Aneurysm Detection. CADA 2020. Lecture Notes in Computer Science, Springer, Cham (corresponding author)

[14]Li Xuesong, Niu Zhendong, Song Sen, and Guo Hua. The Determination of Voxel Anisotropic Properties From Data of Low Agular Resolusion Using Machine Learning Method and Compressed Sensing Reconstruction. International Society for Magnetic Resonance in Medicine,2018.

[15]Li Xuesong, Ma Xiaodong, Li Lyu, Tong Yan, Song Sen, Guo Hua.Isotropic High Spatial Resolution fMRI Using Accelerated Variable Density Spiral and SLIDER, ISMRM, 2017.

[16]Li Xuesong, Li Lyu, Ma Xiaodong, Zhang Xue, Zhang Zhe, Zhang Bida, Song Sen, and Guo Hua. High Resolution fMRI with Constrained Evolution Reconstruction, ISMRM, 2016.

[17] Qiang Zhang, Pan Su, Zhensen Chen, Ying Liao, Shuo Chen, Rui Guo, Haikun Qi,Xuesong Li, Xue Zhang, Zhangxuan Hu, Hanzhang Lu, Huijun Chen. Deep learning–based MR fingerprinting ASL ReconStruction (DeepMARS). Magnetic Resonance in Medicine, 2020.

[18] Zhang Xue,Li Xuesong, Steffens David, Guo Hua, Wang Lihong. Dynamic changes in thalamic connectivity following stress and its association with future depression severity. Brain and Behavior, 2019

[19] Shi Diwei, Pan Ziyi,Li Xuesong, Guo Hua, Zheng Quanshui. Diffusion coefficient orientation distribution function for diffusion magnetic resonance imaging. Journal of Neuroscience Methods, 2021.

[20] Tianyi Yan, Yonghao Wang, Zizheng Weng, Wenying Du, Tiantian Liu, Duanduan Chen,

Xuesong Li, Jinglong Wu and Ying Han. Early-Stage Identification and Pathological Development of Alzheimer’s Disease Using Multimodal MRI. Journal of Alzheimer’s Disease,2019, 68:1013–1027.

[21] Wei Haining, Hu Zhangxuan, XiongYuhui, He Le, MaYu, Guo Hua,LiXuesong. Analysis of Structural Connectivity using Certain Nuclei as Seeds in Patients with Parkinson’s Disease. International Society for Magnetic Resonance in Medicine,2018. (corresponding author)

[22] Yang Zhilun, Wang Qian, Gao Ge,Li Xuesong, GrilloFederico,FerrettiValentina,Paola Vincenzo and SongSen.A Semi-automated Program for Axonal Reconstructions from Time-lapse 2-Photon Images, Frontiers in Neuroinformatics,2014.

[23] Zhang Xue, Zhang Qianqian, Chen Xiaoyue,Li Xuesong, and Wang Lihong. Impact of Different Mental States on Low-frequency Functional Fluctuation, ISMRM, 2014.

[24] Cao TianLe,Li Xuesong, Tong Yan, Guo Hua. Deep Generative Adversarial Networks for High Resolution Functional Magnetic Resonance Imaging With Variable Density Spiral Trajectory.ISMRM, 2018.

[25] Dai Eerpeng, Zhang Zhe, Ma Xiaodong, Dong Zijing,Li Xuesong, Xiong Yuhun, Yuan Chun, Guo Hua. The effects of navigator distortion and noise level on interleaved EPI DWI reconstruction: a comparison between image- and k-space-based method. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine.2018, 80:2024-2032.

[26] Yishi Wang, Zhe Zhang, Xue Zhang,Xuesong Li, Sheng Xie, Chun Yuan, and Hua Guo. Investigations on Motion Corruption for Diffusion Weighted Imaging from Population Analysis. International Society for Magnetic Resonance in Medicine, 2018.

[27] Zhangxuan Hu , Yuhui Xiong ,Xuesong Li, Rongsong Zhou , Suhua Miao , Le He , Yu Ma , and Hua Guo. Iron Deposition Quantification in Patients with Parkinson’s Disease by Quantitative Susceptibility Mapping. ISMRM, 2018

[28] Hao Liu, Dongye Li,Xuesong Li, Qiang Zhang, Guanhua Wang, Yishi Wang, Xihai Zhao, Huijun Chen. Intracranial vessel wall segmentation on 3D black-blood MRI using convolutional neural network. International Society for Magnetic Resonance in Medicine, 2018.

[29]YishiWang,ZijingDong,ZhangxuanHu,XuesongLi,FuyixueWang, KawinSetsompop,ZiyiPan, Chun Yuan, Hua Guo. Multicontrast Distortion-free MRI Using PSF-EPI. ISMRM, 2019.

[30] Diwei Shi, Ziyi Pan,Xuesong Li, Quanshui Zheng, and Hua Guo. A New Method for Reconstructing the Orientation Distribution Function in HARDI. Proc. Intl. Soc. Mag. Reson. Med 28 (ISMRM & SMRT Virtual Conference & Exhibition), 2020, P4418.

承担科研情况

1, 国家自然科学基金面上项目，62071049，基于多段同时激发的三维采集全脑高分辨率fMRI技术研究，2021.01-2024.12，64万元，主持。

2，国家自然科学基金青年项目，61801026，基于变密度螺旋轨迹采集的亚毫米级等体素高分辨率fMRI技术研究，2019.01-2021.12，27万元，主持。

3，bob手机在线登陆青年教师启动计划，40万元，主持。

4，国家重点研发计划，2018YFC0115400，闭环生物反馈和无创深部电刺激调控协同系统研发与帕金森病治疗应用研究，2018.8-2021.6，458万元，骨干。

5，北京市科委项目，20151091504,千万级类脑计算处理器芯片及相关核心技术，2015/04-2016/12，600万元，参与。

6，清华大学科研院项目，20141080934,类脑计算系统预研，2014/10-2015/9，600万元，参与。

7，国家自然科学基金面上项目，31171047,中脑腹侧被盖区多巴胺神经元在惩罚学习中的功能，2012/01-2015/01, 60万元，参与。

8，国家自然科学基金青年项目，11102094,噪声奖励下介观神经元网络的随机动力学研究，2012/01-2014/01, 24万元，参与。

所获奖励

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