谢桑马

  副教授/硕导，自动化学院（人工智能学院）人工智能专业系主任、智能科学与健康工程研究所副所长，中国图象图形学学会医学影像专委会副秘书长。主要研究方向聚焦于人工智能与医学健康的交叉前沿领域，致力于多模态医疗数据融合与智能分析方法的探索。围绕神经精神疾病与肿瘤等重大疾病，开展疾病表型建模、生物标志物挖掘与精准诊疗策略研究，以及医学信息分析平台与智能诊疗系统开发。先后主持国家自然科学基金项目及浙江省自然科学基金项目，作为核心成员参与国家重点研发计划、国家自然科学基金重点项目，已发表SCI/EI收录论文20余篇。

[1] 2011-09 至 2017-01, 中国科学院大学, 模式识别与智能系统, 博士

[2] 2007-09 至 2011-06, 兰州大学, 计算机科学与技术, 学士

[1] 2017-06 至 今，杭州电子科技大学

[2] 2024-09 至 今，浙江省科学技术协会，办公室副主任（挂职）

[1] 中国图象图形学学会医学影像专委会委员，副秘书长

[2] 中国认知科学学会认知神经环路与信息处理专委会委员

[3] 中国生物医学工程学会医学图像信息与控制专委会委员

    人工智能与医学健康前沿交叉研究，聚焦多模态医疗数据融合与智能分析方法，围绕神经精神疾病与肿瘤等重大疾病，开展疾病表型建模、生物标志物挖掘与精准诊疗、医学信息分析平台与智能诊疗系统开发等研究。

[1] 智科与人工智能学科导论

[2] 计算机科学导论

[3] 计算机网络技术

[4] 数据结构与算法分析

[5] Python与算法设计实验

[1] 国家自然科学基金,重点项目,MRI驱动的腔面型乳腺癌多组学精准分型与疗效预测研究,2025-01-01至2029-12-31,229万元,子课题负责人

[2] 国家自然科学基金,面上项目,基于肿瘤微环境多尺度解析的乳腺癌智能诊疗研究,2023-01-01至2026-12-31,56万元,参与

[3] 国家自然科学基金委员会,面上项目,联合多模态磁共振成像与分子影像组学关键技术研究及其在阿尔兹海默症早期诊断中的应用,2023-01-01至2026-12-31,53万元,参与

[4] 国家自然科学基金,青年项目,基于高角分辨率弥散成像的精神分裂症幻听的精细脑连接研究,2020-01-01至2022-12-31,24.5万元,主持

[5] 科技部,国家重点研发计划“战略性科技创新合作”重点专项港澳台项目,面向肿瘤精准诊疗的人工智能方法与技术研究,2021-08至2023-07,200万元,子课题负责人

[6] 浙江省自然科学基金，青年项目，基于扩散磁共振成像的精神分裂症高危人群脑连接研究，2019-01-01至2021-12-31，10万元，主持

[1] Sun Qinyao, Zhu Shunli, Yang Futing, Chen Zhigang, Li Heling, Shao Heng, Wang Hong, Xie Sangma*, and Wang Jiaojian, Mapping the Cross-species Brain Connectivity Atlas and Hemispheric Asymmetry of the Temporal Pole in Humans and Macaques. Neuroscience Bulletin, 2026. 42(1): p. 91-106.

[2] Fan Ming, Zhu Zhiwei, Yu Zhou, Du Jiaojiao, Xie Sangma, Pan Xiang, Chen Shujun, and Li Lihua, Cross-modality transformer model leveraging DCE-MRI and pathological images for predicting pathological complete response and lymph node metastasis in breast cancer. Physics in Medicine and Biology, 2025. 70(20).

[3] Gao Jingjing, Qian Maomin, Wang Zhengning, Li Yanling, Luo Na, Xie Sangma, Shi Weiyang, Li Peng, Chen Jun, Chen Yunchun, Wang Huaning, Liu Wenming, Li Zhigang, Yang Yongfeng, Guo Hua, Wan Ping, Lv Luxian, Lu Lin, Yan Jun, Song Yuqing, Wang Huiling, Zhang Hongxing, Wu Huawang, Ning Yuping, Du Yuhui, Cheng Yuqi, Xu Jian, Xu Xiufeng, Zhang Dai, and Jiang Tianzai, Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features. Schizophrenia Bulletin, 2024. 51(1): p. 217-235.

[4] Fan Ming, Wang Kailang, Pan Da, Cao Xuan, Li Zhihao, He Songlin, Xie Sangma*, You Chao, Gu Yajia, and Li Lihua, Radiomic analysis reveals diverse prognostic and molecular insights into the response of breast cancer to neoadjuvant chemotherapy: a multicohort study. Journal of Translational Medicine, 2024. 22(1).

[5] Ding Chaoyue, Li Ang, Xie Sangma, Tian Xiaohan, Li Kunchi, Fan Lingzhong, Yan Hao, Chen Jun, Chen Yunchun, Wang Huaning, Guo Hua, Yang Yongfeng, Lv Luxian, Wang Huiling, Zhang Hongxing, Lu Lin, Zhang Dai, Zhang Zhanjun, Wang Meng, Jiang Tianzi, and Liu Bing, Mapping Brain Synergy Dysfunction in Schizophrenia: Understanding Individual Differences and Underlying Molecular Mechanisms. Advanced Science, 2024. 11(32).

[6] Xue Yibo, Xie Sangma*, Wang Xunheng, Xi Xugang, and Liu Chunyan, White matter microstructure alterations in idiopathic restless legs syndrome: a study combining crossing fiber-based and tensor-based approaches. Frontiers in Neuroscience, 2023. 17.

[7] Wu Zhanxiong, Yu Jiangnan, Chen Xuanheng, Shen Jian, Xie Sangma, and Zeng Yu, Structural networks of healthy infants built from dMRI images smoothed with multi-volume nonlocal estimation. Multimedia Tools and Applications, 2023.

[8] Xie Sangma, Zhuo Junjie, Song Ming, Chu Congying, Cui Yue, Chen Yunchun, Wang Huaning, Li Lihua, and Jiang Tianzi, Tract-specific white matter microstructural alterations in subjects with schizophrenia and unaffected first-degree relatives. Brain Imaging and Behavior, 2022. 16(5): p. 2110-2119.

[9] Chu Congying, Guan Haoran, Xie Sangma, Wang Yanpei, Luo Jie, Zhao Gai, Pan Zhiying, Hu Mingming, Men Weiwei, Tan Shuping, Gao Jiahong, Qin Shaozheng, He Yong, Fan Lingzhong, Dong Qi, and Tao Sha, The SACT Template: A Human Brain Diffusion Tensor Template for School-age Children. Neuroscience Bulletin, 2022. 38(6): p. 607-621.

[10] Fan Ming, Zhang You, Fu Zhenyu, Xu Maosheng, Wang Shiwei, Xie Sangma, Gao Xin, Wang Yue, and Li Lihua, A deep matrix completion method for imputing missing histological data in breast cancer by integrating DCE-MRI radiomics. Medical Physics, 2021. 48(12): p. 7685-7697.

[11] Cui Yue, Dong Jiahao, Yang Yongfeng, Yu Hongyan, Li Wenqiang, Liu Yang, Si Juanning, Xie Sangma, Sui Jing, Lv Luxian, and Jiang Tianzi, White matter microstructural differences across major depressive disorder, bipolar disorder and schizophrenia: A tract-based spatial statistics study. Journal of Affective Disorders, 2020. 260: p. 281-286.

[12] Xie Sangma, Liu Bing, Wang Jiaojian, Zhou Yuan, Cui Yue, Song Ming, Chen Yunchun, Li Peng, Lu Lin, Lv Luxian, Wang Huaning, Yan Hao, Yan Jun, Zhang Hongxing, Zhang Dai, and Jiang Tianzi, Hyperconnectivity in perisylvian language pathways in schizophrenia with auditory verbal hallucinations: A multi-site diffusion MRI study. Schizophr Res, 2019. 210: p. 262-269.

[13] Liu Shengfeng, Wang Haiying, Song Ming, Lv Luxian, Cui Yue, Liu Yong, Fan Lingzhong, Zuo Nianming, Xu Kaibin, Du Yuhui, Yu Qingbao, Luo Na, Qi Shile, Yang Jian, Xie Sangma, Li Jian, Chen Jun, Chen Yunchun, Wang Huaning, Guo Hua, Wan Ping, Yang Yongfeng, Li Peng, Lu Lin, Yan Hao, Yan Jun, Wang Huiling, Zhang Hongxing, Zhang Dai, Calhoun Vince D, Jiang Tianzi, and Sui Jing, Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population. Schizophrenia Bulletin, 2019. 45(2): p. 436-449.

[14] Wang Jiaojian, Zuo Zhentao, Xie Sangma, Miao Yifan, Ma Yuanye, Zhao Xudong, and Jiang Tianzi, Parcellation of Macaque Cortex with Anatomical Connectivity Profiles. Brain Topography, 2018. 31(2): p. 161-173.

[15] Wang Jiaojian, Feng Xiaoli, Wu Jing, Xie Sangma, Li Ling, Xu Liqi, Zhang Yuhua, Ren Xiaofeng, Hu Zhengfei, Lv Longbao, Hu Xintian, and Jiang Tianzi, Alterations of Gray Matter Volume and White Matter Integrity in Maternal Deprivation Monkeys. Neuroscience, 2018. 384: p. 14-20.

[16] Wang Jiaojian, Xie Sangma, Guo Xin, Becker Benjamin, Fox Peter T., Eickhoff Simon B., and Jiang Tianzi, Correspondent Functional Topography of the Human Left Inferior Parietal Lobule at Rest and Under Task Revealed Using Resting-State fMRI and Coactivation Based Parcellation. Human Brain Mapping, 2017. 38(3): p. 1659-1675.

[17] Xie Sangma, Chen Liangfu, Zuo Nianming, and Jiang Tianzi, DiffusionKit: A light one-stop solution for diffusion MRI data analysis. Journal of Neuroscience Methods, 2016. 273: p. 107-119.

[18] Li Yonghui#, Xie Sangma#, Liu Bing, Song Ming, Chen Yunchun, Li Peng, Lu Lin, Lv Luxian, Wang Huaning, Yan Hao, Yan Jun, Zhang Hongxing, Zhang Dai, and Jiang Tianzai, Diffusion magnetic resonance imaging study of schizophrenia in the context of abnormal neurodevelopment using multiple site data in a Chinese Han population. Transl Psychiatry, 2016. 6(1): p. e715.

[19] Fan Lingzhong, Li Hai, Zhuo Junjie, Zhang Yu, Wang Jiaojian, Chen Liangfu, Yang Zhengyi, Chu Congying, Xie Sangma, Laird Angela R., Fox Peter T., Eickhoff Simon B., Yu Chunshui, and Jiang Tianzi, The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture. Cerebral Cortex, 2016. 26(8): p. 3508-3526.

[1] 用于预测冻结步态的方法、设备和计算机可读存储介质，2022-10-18，中国，CN202210929319.7；王振常，魏璇，赵鹏飞，陈宇辰，黄继随，谢桑马，魏巍，王争，张鹏