王 鹤

博士生导师
复旦大学张江国际脑影像中心执行主任
复旦大学类脑人工智能科学与技术研究院研究员
复旦大学附属中山医院双聘教授

联系方式：
上海市张衡路825号复旦大学张江国际脑影像中心038室
电话：(021) 6564 7968
手机：(+86) 139 1756 1532
邮箱：hewang@fudan.edu.cn 或 hwangge@qq.com


近五年主持科研项目：
  • 1. 国家自然科学基金面上项目，82271956，基于五维血流成像和高分辨弥散影像组学技术的肝硬化门静脉高压症无创评估研究，2023/01-2026/12，60万元，主持
  • 2. 国家自然科学基金面上项目，81971583，基于多尺度磁共振血管成像的血管性认知障碍机制研究，2020/01-2023-12，55 万元，主持
  • 3. 上海市自然科学基金面上项目，20ZR1406400，基于磁共振动态特征评估三阴性乳腺癌基因分型的研究，2020/07-2023/06，20 万元，主持
  • 4. 上海市科委重大专项子课题，多尺度多模态脑影像测量平台建设，2018/07-2023/06，731.4 万，主持
  • 5. 上海市科委重大专项子课题，人脑结构网络连接及血管功能的磁共振测量新技术，2018/01-2020/12，120 万，主持
  • 6. 上海市自然科学基金面上项目，17ZR1401600，磁共振微血管成像和弥散成像技术在儿童脑肿瘤诊断中的研究，2017/05-2020/04，20 万元，主持
  • 7. 横向课题，7T磁共振序列和重建开发，2019/10-2021/12，130 万，主持

近五年申请专利：
  • 1. 一种基于磁共振指纹的动态增强磁共振成像方法。赵雪莹（学生）、王鹤、张博宇。201810241545.X（已授权并转化）
  • 2. 基于7.0T磁共振成像系统的头/膝关节多用途射频线圈装置。王鹤、方磊。202011458436.7（已授权）
  • 3. 脑血管形态特征定量分析方法。王鹤、张博宇。202110106311.6 （已授权）
  • 4. 一种磁共振肝癌疗效评估方法和系统。张博宇（学生）、王鹤、赵雪莹。201810241827.X
  • 5. 一种肺部CT与MRI影像融合算法。郑忍成（学生）、王鹤、单飞、杨舒一，施裕新。201811575740.2
  • 6. 一种基于影像组学分析的MRI影像肝纤维化自动分级方法。王鹤、郑忍成、单飞、施裕新。201911056189.5
  • 7. 一种基于磁共振指纹成像的快速定量T1ρ的方法。王前锋（助理）、王鹤、戴飞。202010400589.X（已授权）
  • 8. 一种基于神经网络的多次激发平面回波磁共振成像方法。张会（博士后）、王鹤。202011458419.3 （已授权）
  • 9. 一种基于深度学习的多模态肝脏磁共振影像配准系统。于航（学生）、王成彦、王鹤。202010845127.9 （已授权）
  • 10. 一种基于单次激发的弥散加权成像扫描重建方法与系统。王鹤、王繁文、王成彦。202111216100.4
  • 11. 肝静脉压力梯度的测量方法、测量系统、电子设备及介质。王成彦，王可欣，王鹤。2021107732655

部分论文：
  • 1. Zheng RC#, Wang QD#, Lv SZ, Li CP, Wang CY, Chen WB, Wang H*. Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM. IEEE Trans Med Imaging. 2022; doi: 10.1109/TMI.2022.3175461.
  • 2. Zhang BY#, Huo YJ#, Yang ZD, Lv HH, Wang YL, Feng JF, Han Y*, Wang H*. Day to day blood pressure variability associated with cerebral arterial dilation and white matter hyperintensity. Hypertension. 2022; doi: 10.1161/HYPERTENSIONAHA.122.19269.
  • 3. Shi Z#, Zhao XY#, Zhu S, Miao XY, Zhang YF, Han SH, Wang B, Zhang BY, Ye XD, Dai YM, Chen CZ, Rao SX, Lin J, Zeng MS*, Wang H. Time-of-Flight intracranial MRA on 3T vs. 5T vs. 7T: visualization of distal small cerebral arteries. Radiology, 2022; doi: 10.1148/radiol.220114.
  • 4. Wei L#*, Ding M#, Zhang YW, Wang H*. Decoding transcriptional signatures of the association between free water and macroscale organizations in healthy adolescents. Neuroimage. 2022; doi: https://doi.org/10.1016/j.neuroimage.2022.119514.
  • 5. Wang FW#, Zhang H#, Dai F, Chen WB, Xu S, Yang ZD, Shen DG, Wang CY*, Wang H*. Multiple B-Value Model-Based Residual Network (MORN) for Accelerated High-Resolution Diffusion-Weighted Imaging. IEEE J Biomed Health Inform. 2022 Jul 25;PP. doi: 10.1109/JBHI.2022.3193299.
  • 6. Wang LL#, Wang CY#, Wang FW, Chu YH, Yang ZD, Wang H*. EPI Phase Error Correction with Deep Learning (PEC-DL) at 7T. Magn Reson Med. 2022; Accepted.
  • 7. Zhang BY, Yang ZD, Li J, Wang B, Shi HZ, Wang H*, Li YH*. Modification of cerebrovascular morphologies during different stages of life. J Cereb Blood Flow Metab. 2022 Jul 1:271678X221111609. doi: 10.1177/0271678X221111609.
  • 8. Zhang J, Zhao H, Xue Y, Liu Y, Fan G, Wang H*, Dong Q*, Cao W*. Impaired Glymphatic Transport Kinetics Following Induced Acute Ischemic Brain Edema in a Mouse pMCAO Model. Front Neurol. 2022 Mar 17;13:860255. doi: 10.3389/fneur.2022.860255.
  • 9. Zhang H#, Wang C#, Chen W, Wang F, Yang Z, Xu S, Wang H*. Deep Learning based Multiplexed Sensitivity-encoding (DL-MUSE) for High-resolution Multi-shot DWI. Neuroimage. 2021; doi: 10.1016/j.neuroimage.2021.118632.
  • 10. Zeng R, Lv J, Wang H, Zhou L, Barnett M, Calamante F*, Wang C*. FOD-Net: A deep learning method for fiber orientation distribution angular super resolution. Med Image Anal. 2022 Apr 6;79:102431. doi: 10.1016/j.media.2022.102431.
  • 11. Wang CY#, Shi Z#, Yang M, Huang LX, Fang WX, Jiang L, Ding J*, Wang H*. Deep Learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA. J Cereb Blood Flow Metab. 2021; doi:10.1177/0271678X211023660.
  • 12. Yuan S#, Liao G#, Zhang M#, Zhu Y#, Xiao W#, Wang K, Li C, Jia C, Sun N, Walch A, Gao D, Xu P*, Deng Q*, Zhang J*, Wang H*, Hu R*. Multiomics interrogation into HBV (Hepatitis B virus)-host interaction reveals novel coding potential in human genome, and identifies canonical and non-canonical proteins as host restriction factors against HBV. Cell Discov. 2021 Nov 2;7(1):105. doi: 10.1038/s41421-021-00337-3.
  • 13. Guo L#, Wang H#, Zhou J, Tang W, Wang R, Xiao Z, Wu L, Wang J, Li L, Lei Y*, Sun X*, Tang Z*. Magnetic resonance imaging investigations reveal that exposure triggers visual dysfunction in mice. Ecotoxicol Environ Saf. 2021 Oct 8;227:112866. doi: 10.1016/j.ecoenv.2021.112866.
  • 14. Su J#, Ni W#, Yang B, Xiao W, Gao X, Yang H, Li Y, Lei Y, Jiang H, Wang H*, Gu Y, Mao Y*. Preliminary Study on the Application of Ultrahigh Field Magnetic Resonance in Moyamoya Disease. Oxid Med Cell Longev. 2021 Jan 13;2021:5653948.doi: 10.1155/2021/5653948.
  • 15. Wang KX, Wang S, Xiong MH, Wang CY*, Wang H*. Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics. MICCAI 2021, LNCS 12907, pp.1-10, 2021.
  • 16. Huang X#, Lin C#, Luo C, Guo Y, Li J, Wang Y, Xu J, Zhang Y, Wang H* , Liu Z*, Chen B*. Fe3O4@M nanoparticles for MRI-targeted detection in the early lesions of atherosclerosis. Nanomedicine. 2021 Apr;33:102348. doi: 10.1016/j.nano.2020.102348.
  • 17. Liu Q#, Zhang B#, Wang L, Zheng R, Qiang J, Wang H*, Yan F*, Li R*. Assessment of Vascular Network Connectivity of Hepatocellular Carcinoma Using Graph-Based Approach. Front Oncol. 2021 Jul 6;11:668874. doi: 10.3389/fonc.2021.668874.
  • 18. Xia BQ#, Wang H#, Wang Z, Qian ZX, Xiao Q, Liu Y, Shao ZM, Zhou SL, Chai WM, You C*, Gu YJ*. A Combined Nomogram Model to Predict Disease-free Survival in Triple-Negative Breast Cancer Patients with Neoadjuvant Chemotherapy. Front Genet. 2021 Nov 21; doi: 10.3389/fgene.2021.783513.
  • 19. Wang C*, Li Y, Lv J, Jin J, Hu X, Kuang X, Chen W, Wang H*. Recommendation for Cardiac Magnetic Resonance Imaging-Based Phenotypic Study: Imaging Part. Phenomics. 2021;1(4):151-170.
  • 20. Huang Y#, Xiao Q#, Sun Y, Wang Z, Li Q, Wang H*, Gu Y*. An Approach Based on Mammographic Imaging and Radiomics for Distinguishing Male Benign and Malignant Lesions: A Preliminary Study. Front Oncol. 2021 Feb 16;10:607235. doi: 10.3389/fonc.2020.607235.
  • 21. Tang YM#, Yao Y#, Xu S, Li X, Hu F, Wang H*, Ding J*, Wang X. White Matter Microstructural Damage Associated With Gait Abnormalities in Idiopathic Normal Pressure Hydrocephalus. Front Aging Neurosci. 2021 Aug 9;13:660621. doi: 10.3389/fnagi.2021.660621.
  • 22. Li Q#, Xiao Q#, Li J, Wang Z, Wang H*, Gu Y*. Value of Machine Learning with Multiphases CE-MRI Radiomics for Early Prediction of Pathological Complete Response to Neoadjuvant Therapy in HER2-Positive Invasive Breast Cancer. Cancer Manag Res. 2021 Jun 28;13:5053-5062.
  • 23. Zhang B#, Wang Y#, Wang B#, Chu YH, Jiang Y, Cui M*, Wang H*, Chen X*. MRI-Based Investigation of Association Between Cerebrovascular Structural Alteration and White Matter Hyperintensity Induced by High Blood Pressure. J Magn Reson Imaging. 2021 Jun 28. doi: 10.1002/jmri.27815.
  • 24. Shi Z#, Li J#, Zhao M#, Zhang M, Wang T, Chen L, Liu Q, Wang H*, Lu J*, Zhao X. Baseline Cerebral Ischemic Core Quantified by Different Automatic Software and Its Predictive Value for Clinical Outcome. Front Neurosci. 2021 Apr 12;15:608799. doi: 10.3389/fnins.2021.608799. PMID: 33911999.
  • 25. Zheng R#, Wang L#, Wang C, Yu X, Chen W, Li Y, Li W, Yan F, Wang H*, Li R*. Feasibility of automatic detection of small hepatocellular carcinoma (≤2 cm) in cirrhotic liver based on pattern matching and deep learning. Phys Med Biol. 2021 Mar 29. doi: 10.1088/1361-6560/abf2f8. Epub ahead of print. PMID: 33780910.
  • 26. Zheng R#, Shi C#, Wang C, Shi N, Qiu T, Chen W, Shi Y*, Wang H*. Imaging-Based Staging of Hepatic Fibrosis in Patients with Hepatitis B: A Dynamic Radiomics Model Based on Gd-EOB-DTPA-Enhanced MRI. Biomolecules. 2021 Feb 18;11(2):307. doi: 10.3390/biom11020307. PMID: 33670596; PMCID: PMC7922315.
  • 27. Zhao X#, Shi J#, Dai F, Wei L, Zhang B, Yu X, Wang C, Zhu W*, Wang H*. Brain Development From Newborn to Adolescence: Evaluation by Neurite Orientation Dispersion and Density Imaging. Front Hum Neurosci. 2021 Mar 15;15:616132. doi: 10.3389/fnhum.2021.616132.
  • 28. Wang F, Zhang H, Dai F, Chen W, Wang C*, Wang H*. MAGnitude-Image-to-Complex K-space (MAGIC-K) Net: A Data Augmentation Network for Image Reconstruction. Diagnostics (Basel). 2021 Oct 19;11(10):1935. doi: 10.3390/diagnostics11101935.
  • 29. Wang Y#, Jiang L#, Zhang Y, Lu Y, Li J, Wang H*, Yao D*, Wang D*. Fibronectin-Targeting and Cathepsin B-Activatable Theranostic Nanoprobe for MR/Fluorescence Imaging and Enhanced Photodynamic Therapy for Triple Negative Breast Cancer. ACS Appl Mater Interfaces. 2020 Jul 29;12(30):33564-33574.
  • 30. Wei L#, Han X#, Sun YW, Ding M, Du YS, Jiang WQ, Zhou Yan*, Wang H*. Brain controllability and morphometry similarity of internet gaming addiction. Methods. 2020; S1046-2023(20)30163-8.
  • 31. Chen KL#, Zhao GX#, Wang H#, Wei L, Huang YY, Chen SD, Lin BY, Dong Q, Cui M, Yu, JT*. A novel de novo RNF216 mutation associated with autosomal recessive Huntington-like disorder. Ann Clin Transl Neurol. 2020; DOI: 10.1002/acn3.51047.
  • 32. Meng XF#, Zhang BY#, Yi Y, Cheng Hui, Wang BM, Liu YY, Gong T, Yang W, Yao YF, Wang H*, Bu WB*. Accurate and Real-Time Temperature Monitoring during MR Imaging Guided PTT. Nano Letters. 2020; DOI: 10.1021/acs.nanolett.9b05267.
  • 33. Wang Q#, Xiao H#, Yu X, Lin H, Yang B, Zhang Y, Feng D, Yan F*, Wang H*. R1ρ at high spin-lock frequency could be a complementary imaging biomarker for liver iron overload quantification. Magn Reson Imaging. 2021;75:141-148.
  • 34. Zhang TT, Lu YM, Yang BF, Zhang CY, Li JN, Liu HH, Wang H*, Wang DB*. Diffusion Metrics for Staging Pancreatic Fibrosis and Correlating with Epithelial-Mesenchymal Transition Markers in a Chronic Pancreatitis Rat Model at 11.7T MRI. J Magn Reson Imaging. 2019; DOI: 10.1002/jmri.26995.
  • 35. Wang H*, Zheng RC, Dai F, Wang QF, Wang CY*. High-field MR Diffusion-weighted Image Denoising Using a Joint Denoising Convolutional Neural Network. J Magn Reson Imaging. 2019;50(6):1937-1947.
  • 36. Xie TW#, Wang Z#, Zhao QF, Bai QM, Zhou XY, Gu YJ, Peng WJ*, Wang H*. Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer. Front Oncol. 2019; DOI: 10.3389/fonc.2019.00505.
  • 37. Yang M, Yan Y, Wang H*. IMAge/enGINE: a freely available software for rapid computation of high-dimensional quantification. Quant Imaging Med Surg. 2019;9(2):210-218.
  • 38. Feng R, Zhao J, Wang H, Yang B, Feng J, Shi Y, Zhang M, Liu C, Zhang Y, Zhuang J, Wei H*. MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping. Neuroimage. 2021 Oct 15;240:118376. doi: 10.1016/j.neuroimage.2021.118376.

( # 共同作者, * 通讯作者)


部分国际会议摘要：
  • 1. Zhang H, Xu JQ, Yu XC, Chen WB, Wang CY, Wang H.Deep learning based high resolution IVIM parameter mapping in lacunar infarction patients. ISMRM, 2021
  • 2. Dai YX, Wang CY, Wang H. Compressed sensing MRI via a fusion model based on image and gradient priors. ISMRM,2021
  • 3. Yu XC，Han JW，He M，Chen WB，Ding J，Wang H. Differential cognitive impairment of lateral ventricle small infarct: Brain atrophy and blood oxygen activity under the cortical layer. ISMRM，2021
  • 4. Wang QF, Wang H, Feng DY. The feasibility of T1ρ magnetic resonance fingerprinting with a random design at 11.7T. ISMRM 2021
  • 5. Wang QF, Xiao H, Yu XC, Wang H, and Yan FH. Comparison of T1ρ imaging between rapid acquisition with relaxation enhancement (RARE) and ultrashort TE (UTE) sequence of rat liver at 11.7T MRI. ISMRM 2021
  • 6. Wang QF, Xiao H, Wang H, and Yan FH. Ultrashort echo time R1ρ for detection of rat liver iron overload at 11.7T MRI. ISMRM 2021
  • 7. Wei L, Ding M, Xiao X, Wang H. Regional brain MRI features reveal the histological alterations in chronic pain: an MRI-based cell imaging study. ISMRM,2021
  • 8. Han JW, Zhang H, Xu JQ, Wang FW, Gao J, Chen WB, Yan HM, Wang H. Changes in Gray Matter Volume and Functional Connectivity of Obese Females with Acupuncture and Diet Control Therapy: Placebo Effect or Not? ISMRM，2021
  • 9. Zheng RC, Wang LN, Wang CY, Yu XC, Chen WB, Li Y, Li WX, Yan FH, Wang H, Li RK. Automatic Detection of Small Hepatocellular Carcinoma (≤2 cm) in Cirrhotic Liver based on Pattern Matching and Deep Learning. ISMRM, 2021 (Oral)
  • 10. Wang FW, Zhang H, Dai F, Chen WB, Wang CY, Wang H. Simultaneous Reconstruction of high-resolution multi b-value DWI using one-shot. ISMRM, 2021
  • 11. Wang FW, Zhang H, Han JW, Dai F, Dai YX, Chen WB, Wang CY, Wang H. MAGnitude Image to Complex(MAGIC)-Net: reconstructing multi-coil complex images with pre-trained network using synthesized raw data. ISMRM,2021
  • 12. Wang CY, Li Y, Lv J, Li B, Dai F, Chen WB, Wang H. Calibrationless SENSE Reconstruction with Deep Coil Sensitivity Learning. ISMRM, 2020.
  • 13. Xu S, Yao Y, Ding J, Wang H. Gait - related white matter tracts damage in idiopathic normal pressure hydrocephalus. ISMRM, 2020.
  • 14. Wang LL, Wang FW, Chu YH, Yu XC, Wang CY, Wang H. EPI Phase correction using model-based deep learning reconstruction. ISMRM, 2020.
  • 15. Wang QF, Xiao H, Wang H, Yu XC, Yan FH. T1ρ could be a complementary tool for T2* in the assessment of rat liver iron overload. ISMRM, 2020.
  • 16. Wei L, Chen KL, Wang H. The white matter impairment of Gordon-Holmes syndromes: a tracking based analysis. ISMRM, 2020.
  • 17. Xu JQ, Wang H, Zhao XY, Zhang H, Feng XY, Ren Y. Differentiating Low- and High-Grade Adult glioma Using Multi-diffusion Models. ISMRM, 2020.
  • 18. Zhang BY, Wang B, Wang CY, Chu YH, Wang H. Cerebrovascular Atlas: A Novel Framework to Detect Structural Alterations Using MRA. ISMRM, 2020.
  • 19. Zhang H, Feng ZY, Chen WB, Wang YS, Wang CY, Wang H. Incorporating Deep Learning into Multi-shot EPI DWI Reconstruction. ISMRM, 2020.
  • 20. Zhao XY, Chu YH, Wang QF, Wang H. Quantitative Tracking of T1 and T2* in DCE-MRI by Dynamic MR Fingerprinting. ISMRM, 2020.
  • 21. Hsu YC, Wang H, Chu YH. Near bias-free robust MP2RAGE reconstruction using a signal-dependent regularization function. ISMRM, 2020.
  • 22. Zheng RC, Wang QD, Feng ZY, Wang CY, Wang H. Automatic Liver Tumor Detection using Deep learning based segmentation and Radiomics guided Candidate Filtering. ISMRM, 2020.
  • 23. Zhao XY, Wang, H. Atlas-based analysis of brain development from newborn to adolescence using NODDI. ISMRM, 2019.
  • 24. Zhao XY, Wang, H. A cluster-based diffusion spectrum analysis of diffusion-attenuated signal in glioma. ISMRM, 2019.
  • 25. Wei L, Wang H. The gray matter volume and shape abnormal in angelman syndromes. ISMRM, 2019.
  • 26. Wang Z, Wang H. Radiomics Signature on preoperative MR imaging:To predict pathological complete response and disease-free survival in patientes with Triple-negative breast cancer(TNBC) to neoadjuvant chemotherapy (NAC) . ISMRM, 2019.
  • 27. Wang CY, Gao F, Kong HJ, Jiang Li, Huang WJ, Wang R, Zhao K, Jia Y, Xu H, Wang H, Zhang XD, Yang L, Zhang J, Wang XY, Fang J. A feasibility study of using noninvasive renal oxygenation imaging to delineate different severities of renal ischemia in atheroembolic renal disease model. ISMRM, 2017.
  • 28. Wang CY, Zhang BH, Wang H, Kong HJ, Gao F, Jiang L, Wang H, Zhang XD, Yang M, Zhang J, Wang XY, Fang J. Hemodynamic response to respiratory challenge evaluated by dynamic R2’ imaging: application for acute renal ischemia caused by microsphere-induced renal artery embolism. ISMRM, 2017.
  • 29. Wang CY, Jiang L, Kong HJ, Gao F, Huang WJ, Wang R, Ding L, Jia Y, Xu H, Wang H, Zhang XD, Yang L, Zhang J, Wang XY, Fang J. Targeted-FOV DWI can better depict the microemboli-induced renal lesions comparing to conventional full-FOV DWI. ISMRM, 2017.
  • 30. Wang CY, Kong HJ, Gao F, Huang WJ, Ding L, Wang R, Liang L, Jia Y, Xu H, Wang H, Zhang XD, Yang L, Zhang J, Wang XY, Fang J. Comparison of BOLD-contrast imaging and DW imaging for early prediction of renal damage after microemboli-induced acute kidney injury in animal model. ISMRM, 2017.
  • 31. Karaman MM, Xiong Y, Wang H, Damen FC, Li YH, Zhou XJ. Fractional Motion Diffusion Model for Differentiation of Low- and High-Grade Pediatric Brain Tumors. ISMRM, 2016.
  • 32. Wang CY, Zhang R, Li J, Wang R, Zhang XD, Wang H, Zhao K, Jin LX, Zhang J, Wang XY, Fang J. MRI-based Evaluation of Renal Oxygenation Under the In􀃓uence of Carbogen Breathing. ISMRM, 2016.
  • 33. Wang H, Shi KN, Chen WB, Wang GL. Improving the quality of the multi-b diffusion weighted images using the intrinsic multi-exponential pattern. ISMRM, 2016.
  • 34. Feng Y, Wang H, Li JB. A 3D non-rigid registration method for liver in DCE MR images. ISMRM, 2016.
  • 35. Chen WB, Chen X, Wang GB, Chan Q, Wang H, Li JQ, Li XZ, Wang SS, Yao B, Xu DR. Quantitative 3D Whole Liver T1rho Mapping at 3.0T. ISMRM, 2015.
  • 36. Wang CY, Zhang R, Zhang XD, Wang H, Zhao K, Zhang J, Wang XY, Fang J. Skeletal muscle oxygen extraction fraction measurement - at rest and during ischemia. ISMRM, 2015.
  • 37. Shi KN, Wang H, Cao G, Qi Y, Wang XM. A Time efficient IVIM analysis method using fuzzy clustering algorithm. ISMRM, 2015.
  • 38. Wang XY, Zhang R, Zhang XD, Wang H, Zhao K, Zhang J, Wang XY, Fang J. Dynamic measurement of muscle R2, R2' and R2* during ischemia and reactive hyperemia. ISMRM, 2015
  • 39. Wang H, Zhu NY, Yan FH, Cao G, Yan X. Correlation Study of Quantitative Diffusional Kurtosis Imaging with Serum Indicators in Liver Fibrosis, ISMRM, 2013.
  • 40. Wang H, Cao G, Li YH, Duan XJ. Evaluation of Multi-component Diffusion Coeffcients in Pediatric Gliomas, ISMRM, 2013.
  • 41. Wang H, Ma C, Chen NK, Lu JP, Song A, Cao G. Cervical Spine DWI using Reduced-FOV Multi-shot EPI with 2D Phase Cycling Reconstruction, ISMRM, 2013.
  • 42. Li YJ, Ma C, Wang H, Chen SY, Lu JP. High Resolution Diffusion Weighted Imaging of Pancreatic adenocarcinoma using 2D Reduced Field of View Single-Shot Echo-planar Imaging at 3.0 Tesla, ISMRM, 2013.
  • 43. Mu KT, Qin YY, Zhang Y, Wang H, Zhu WZ. EGFR MAb-bioconjugated superparamagnetic iron oxide nanoparticles as a specific MRI contrast agent for detection of brain glioma in vivo, ISMRM, 2013.
  • 44. Li QX, Wang H, Zha YF. The influences of vertebral level and age on perfusion parameters of thoracic-lumbar vertebral marrow in adults using T1-Weighted dynamic contrast enhancement MRI, ISMRM, 2013.
  • 45. Sui Y, Liu GZ, Wang H, Damen FC, Li YH, Zhou XJ. Comparison of Three Non-Gaussian Diffusion Models for Differentiation of Pediatric Brain Tumors, ISMRM, 2013.
  • 46. Zhou Y, Liu JY, Wang H, Sun N. Comparing of mono-exponential, bi-exponential and stretched exponential models with multi-b value Diffusion Weighed imaging in uterus malignancies pilot study, ISMRM, 2013.
  • 47. Lou HY, Zhang R, Zhang JF, Wang QD, Tong Y, Xu SL, Wang H. Preliminary experience with visualization of susceptibility signal patterns to differentiate intracranial hemangiopericytomas and meningiomas by T2* weighted angiography imaging, ISMRM, 2013.
  • 48. Zhu WZ, Xiong W, Wang H, Qin YY. Intravoxel distribution of water diffusion rates reveals proliferative activity in human astrocytoma, ISMRM, 2013.
  • 49. Ma C, Pan CS, Wang H, Chen SY, Lu JP. Diffusion-Weighted Magnetic Resonance Imaging of Healthy Pancreas: The Effect of Age on Apparent Diffusion Coefficient Values, ISMRM, 2013.
  • 50. Ma C, Li YJ, Wang H, Chen SY, Lu JP. High Resolution Diffusion Weighted Imaging of Pancreatic neoplasms using 2D ss-rFOV-DWEPI at 3 Tesla, ISMRM, 2013.
  • 51. Zhang Y, Wang H, Cao G, Mao Q, Ding B, Ling HW. Voxel-based analysis of cerebral perfusion changes in Alzheimer disease and mild cognitive impairment measured with a novel 3D arterial spin labeling technique, ISMRM, 2013.
  • 52. Zhang Y, Wang H, Cao G, Zhang L, Zhang GX. Investigation of functional connectivity changes in Alzheimer disease using degree centrality, ISMRM, 2013.
  • 53. Wang H, Sun YS, Zhang Y, Cao G. Diffusion behavior in rectal cancer: comparison of mono-exponential bi-exponential and continuously distributed exponential models, ISMRM, 2012.
  • 54. Sui Y, Wang H, Liu GZ , Damen FW, Wanamaker C, Li YH, Zhou XJ. Differentiation of Low- and High-Grade Pediatric Brain Tumors Using High b-Value Diffusion Imaging with A Fractional Order Calculus Model, ISMRM, 2012.
  • 55. Chen J, Wang Y, Deng J, Mccarthy RJ, Wang GW, Ye YJ, Wang H, Du XK. Predict Metastatic and Benign Lymph Nodes in Patients with Gastric Carcinoma by Using Diffusion-Weighted Imaging, ISMRM, 2012.
  • 56. Chen HY, Chen YF, Wang H, Yang YB, Cao G, Yan X. A Preliminary Study Evaluating the Functional Diffusion Map for Early Detection of TACE Treatment Response in Patients with Liver Carcinoma, ISMRM, 2012.
  • 57. Mu KT, Zhang J, Wang H, Qi JP, Zhu WZ. The clinical application of 3T PROPELLER DUO MRI quantitative analysis of extraocular muscle in Grave's ophthalmopathy, ISMRM, 2012.
  • 58. Zhu WZ, Wang H. The application of multiple b-value DWI with the stretched- exponential model in the preoperative grading of cerebral glioma, ISMRM, 2012.
  • 59. Feng Q, Zhu J, Lu Q, Wang H, Hua J, Xu JR. Respiratory-triggered High-b-value Diffusion-weighted Imaging for the Assessment of Inflammatory Activity in Crohn’s Disease: A Preliminary Study, ISMRM, 2012.
  • 60. Wang H, Zhang Y, Cao G. Evaluation of a Novel Continuously Distributed Diffusion Model in Normal Human Brain, ISMRM, 2011.
  • 61. Xia Z, Li Y, Wang H. The application of T2 Star Weighted Angiography (SWAN) in Hypoxic-ischemic encephalopathy, ISMRM, 2011.
  • 62. Yao XZ, Zeng MS, Wang H, Sun F, Rao SX, Ji Y. Normal pancreas and pancreatic cancer: comparison among different diffusion weighted MR imaging acquisitions at 3.0T, ISMRM, 2011.