• 基本信息
    导师姓名: 严福华 学科代码: 100207
    性别: 学科名称: 影像医学与核医学
    培养单位: 附属瑞金医院 三级学科
    导师类型: 博士生导师 专业领域名称: 放射影像学 专业学位
    联系方式: yfh11655@rjh.com.cn 专业领域代码: 105123
    邮编: 200025 邮箱地址: yanfuhua@yahoo.com
  • 研究方向 (点击浏览详细信息)
  • 社会任职
     
    中国医疗保健国际交流促进会放射学分会副主任委员
    中国医师协会放射医师分会副会长
    中国研究型医院学会磁共振专业委员会副主任委员
    中国医学装备协会磁共振应用专委会副主任委员
    中华医学会放射学分会常委兼磁共振学组组长
    上海市生物医学工程学会放射医学工程专业委员会前任主任委员
  • 科研项目
    项目编号项目名称课题来源起止年月批准经费承担职责
    82271954基于LC-NE系统多模态MRI结合机器学习模型在PD认知障 碍中的纵向研究国家自然科学基金面上项目 2023-01~2026-12 52万元  课题负责人
    21TS1100600多模态定量HR成像在代谢相关脂肪性肝病无创性诊断及风险预警中的实验和临床研究上海市科委 2021-12~2024-11 100万元  课题负责人
    81971576基于多模态磁共振成像的黑质体-1结构、铁与神经黑色素含量的量化评估结合多模态深度学习网络在帕金森病诊断中的研究国家自然科学基金面上项目 2020-01~2023-12 55万元  课题负责人
    2019YFC0121802创新医疗器械与解决方案示范应用体系研究科技部 2019-12~2021-12 257万元  课题负责人
    H1801基于磁敏感加强成像的胰腺铁沉积定量测定与β细胞功能评价的实验研究国家自然科学基金 2017-01~2020-12 56万元  课题负责人
    2016YFC0106800医用磁共振产品综合评价研究国家科技部 2016-07~2018-12 1200万元  课题负责人
  • 学术论文
    作者论文标题期刊名出版年卷期页码
    Youmin Zhang,Pei Huang,Xinhui Wang,Qiuyun Xu,Yu Liu,Zhijia Jin,Yan Li,Zenghui Cheng,Rongbiao Tang,Shengdi Chen,Naying He,, E. Mark Haacke  Visualizing the deep cerebellar nuclei using quantitative susceptibility mapping: An application in healthy controls, Parkinson's disease patients and essential tremor patients  Hum Brain Mapp  2023  44:1810–1824 
    Mojtaba Jokar,Zhijia Jin, Pei Huang, Ying Wanga,Youmin Zhang , Yan Li,Zenghui Cheng, Yu Liu, Rongbiao Tang, Xiaofeng Shi, Jihua Min, Fangtao Liu,Shengdi Chen, Naying He, E. Mark Haacke,  Diagnosing Parkinson’s disease by combining neuromelanin and iron imaging features using an automated midbrain template approach  NeuroImage  2023  266 :119814 
    Yida Wang,Naying He,Chunyan Zhang,Youmin Zhang,Chenglong Wang,Pei Huang,Zhijia Jin,Yan Li,Zenghui Cheng,Yu Liu,Xinhui Wang,Chen Chen,Jingliang Cheng,Fangtao Liu,Ewart Mark Haacke,Shengdi Chen,Guang Yang,  An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and T1-weighted images  Hum Brain Mapp  2023  1-13 
    Huimin Lin, Yihuan Wang, Jiahao Zhou, Yuchen Yang, Xinxin Xu, Di Ma, Yongjun Chen, Chunxue Yang,Ingolf Sack, Jing Guo, Ruokun Li* and Fuhua Yan  Tomoelastography based on?multifrequency MR elastography predicts liver function reserve in?patients with?hepatocellular carcinoma: a?prospective study  Insights into Imaging  2022  13:95 
    Zhijia Jin,Ying Wang,Mojtaba Jokar,Yan Li,Zenghui Cheng,Yu Liu,Rongbiao Tang,Xiaofeng Shi,Youmin Zhang,Jihua Min,Fangtao Liu,Naying He,,Ewart Mark Haacke  Automatic detection of neuromelanin and iron in the midbrain nuclei using a magnetic resonance imaging-based brain template  Hum Brain Mapp  2022  43:2011–2025. 
    Naying He,Kiarash Ghassaban,Pei Huang,Mojtaba Jokar, Ying Wang,Zenghui Cheng,Zhijia Jin, Yan Li,Sean K. Sethi,Yixi He, Yongsheng Chen,Sara Gharabaghi, Shengdi Chen,, E. Mark Haacke  Imaging iron and neuromelanin simultaneously using a single 3D gradient echo magnetization transfer sequence: Combining neuromelanin, iron and the nigrosome-1 sign as complementary imaging biomarkers in early stage Parkinson’s disease  NeuroImage  2021  230 :117810 
    Kun Sun, Zhicheng Jiao, Hong Zhu, Weimin Chai, Xu Yan, Caixia Fu, Jie?Zhi Cheng, Fuhua Yan and Dinggang Shen  Radiomics-based machine learning analysis and?characterization of?breast lesions with?multiparametric difusion-weighted MR  J Transl Med  2021  19:443 
    Xinxin Xu, Hong Zhu, Ruokun Li, Huimin Lin, Robert Grimm,Caixia Fu,  Whole-liver histogram and texture analysis on T1 maps improves the risk stratification of advanced fibrosis in NAFLD  European Radiology  2021  31:1748–1759 
    Yu Liu, Junchen Li, Naying He, Yongsheng Chen, Zhijia Jin,,E. Mark Haacke  Optimizing neuromelanin contrast in the substantia nigra and locus coeruleus using a magnetization transfer contrast prepared 3D gradient recalled echo sequence  NeuroImage  2020  218,116935 
    Kun Sun,Liangqiong Qu,Chunfeng Lian,Yongsheng Pan,Dan Hu ,Bingqing Xia,Xinyue Li,Weimin Chai,  High-Resolution Breast MRI Reconstruction Using a Deep Convolutional Generative Adversarial Network  J. MAGN. RESON. IMAGING  2020  52:1852–1858 
    Tang R, Haacke EM, Zhang Y, Wang Q, He N, Chen KM,  Impact of Nasopharyngeal Irradiation and Gadolinium Administration on Changes in T1 Signal Intensity of the Dentate Nucleus in Nasopharyngeal Malignancy Patients Without Intracranial Abnormalities  J Magn Reson Imaging.  2019  [Epub ahead of print] 
    Li BY, He NY, Qiao Y, Xu HM, Lu YZ, Cui PJ, Ling HW,, Tang HD, Chen SD.  Computerized cognitive training for Chinese mild cognitive impairment patients: A neuropsychological and fMRI study.  Neuroimage Clin.   2019  22:101691. 
    Ghassaban K, He N, Sethi SK, Huang P, Chen S,, Haacke EM.  Regional High Iron in the Substantia Nigra Differentiates Parkinson's Disease Patients From Healthy Controls.  Front Aging Neurosci.   2019  27;11:106. 
    Li Y, Zhang CC, Kathrin Weidacker, Zhang Y, He N, Jin H, Chen W, Voon V, Edden RAE,  Investigation of anterior cingulate cortex gamma-aminobutyric acid and glutamateglutamine levels in obsessive-compulsive disorder using magnetic resonance spectroscopy  BMC Psychiatry  2019  19(1):163-171 
    Lin H, Fu C, Kannengiesser S, Cheng S, Shen J, Dong H,  Quantitative analysis of hepatic iron in patients suspected of coexisting iron overload and steatosis using multi-echo single-voxel magnetic resonance spectroscopy: Comparison with fat-saturated multi-echo gradient echo sequence  J Magn Reson Imaging.  2018  48(1):205-213.  
    Li RK, Ren XP,, Qiang JW, Lin HM, Tao Wang, Zhao HF, Chen WB.  Liver fibrosis detection and staging: a comparative study of T1ρ MR imaging and 2D real-time shear-wave elastography  Abdom Radiol (NY)  2018  43(7):1713-1722. 
    Lin H, Wei H, He N, Fu C, Cheng S, Shen J, Wang B, Yan X, Liu C,  Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification  Eur Radiol.  2018  28(8):3494-3504. 
    Xu X, Lin X, Huang J, Pan Z, Zhu X, Chen K, Zee CS,  The capability of inflow inversion recovery magnetic resonance compared to contrast-enhanced magnetic resonance in renal artery angiography  Abdom Radiol (NY)  2017  42(10):2479-2487 
    He N, Langley J, Huddleston DE,Ling H, Xu H, Liu C,, Hu XP.  Improved Neuroimaging Atlas of the Dentate Nucleus  Cerebellum  2017  16(506):951-956 
    He N, Huang P, Ling H, Langley J, Liu C, Ding B, Huang J, Xu H, Zhang Y, Zhang Z, Hu X, Chen S,  Dentate nucleus iron deposition is a potential biomarker for tremor-dominant Parkinson's disease.  NMR Biomed  2016  2016 May 18. doi: 10.1002/nbm.3554. [Epub ahead of print] 
    Kun Sun, Weimin Chai, Caixia Fu, Ying Zhan, Kunwei Shen, Xianfu Luo,  Diffusion-Weighted Imaging-guided MR Spectroscopy in Breast Lesions using Readout-Segmented Echo-Planar Imaging  European Radiology  2016  26(6): 1565-74 
    Naying He, Huawei Ling, Bei Ding, Juan Huang, Yong Zhang, Zhongping Zhang, Chunlei Liu, Kemin Chen,  Region-Specific Disturbed Iron Distribution in Early Idiopathic Parkinson’s Disease Measured by Quantitative Susceptibility Mapping  Human Brain Mapping  2015  36(11):4407-4420 
    Luo XF, Xie XQ, Cheng S, Yang Y, Yan J, Zhang H, Chai WM, Schmidt B,  Dual-Energy CT for Patients Suspected of Having Liver Iron Overload: Can Virtual Iron Content Imaging Accurately Quantify Liver Iron Content?  RADIOLOGY  2015  277(1):95-103 
    Luo XF, Yang Y, Yan J, Xie XQ, Zhang H, Chai WM, Wang L, Schmidt B,  Virtual iron concentration imaging based on dual-energy CT for noninvasive quantification and grading of liver iron content: An iron overload rabbit model study.  Eur Radiol.   2015  25(9):2657-2664