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王训恒 博士

职称:副教授 邮箱:xhwang@hdu.edu.cn 研究方向:智能生物医学 导师类型:硕士生导师
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王训恒,男,生物医学工程博士副教授,硕士生导师。2005 年毕业于东南大学生物科学与医学工程系,获生物医学工程学士学位。2014 年毕业于东南大学生物科学与医学工程学院,获生物医学工程博士学位。2005-2007 年在东南大学学习科学研究中心任助研。2009-2010年在美国哥伦比亚大学医学中心任助研。2005 2014年在东南大学儿童发展与学习科学教育部重点实验室从事医学图像处理以及功能磁共振成像技术研究。2014年起为杭州电子科技大学生物医学工程讲师。2019年起为杭州电子科技大学生物医学工程副教授。主要研究方向为智能生物医学,在影像组学、脑网络、诊断模型、认知评测模型等方面开展了大量的研究,累计发表SCI/SSCI期刊论文10余篇,其中第一作者SCI/SSCI论文10余篇。主持国家自然科学基金两项,参与省部级项目多项。

(1) 2007-09 至 2014-01, 东南大学, 生物医学工程, 博士 

(2) 2001-09 至 2005-06, 东南大学, 生物医学工程, 学士


(1) 2019-06 至 今, 杭州电子科技大学, 自动化学院, 副教授
(2) 2019-01 至 2019-06, 杭州电子科技大学, 生命信息与仪器工程学院, 副教授 

(3) 2014-04 至 2018-12, 杭州电子科技大学, 生命信息与仪器工程学院, 讲师 

(4) 2009-09 至 2010-08, 美国哥伦比亚大学, 医学中心, 助教
(5) 2005-07 至 2007-07, 东南大学, 学习科学研究中心, 助教


医学影像、机器学习、计算智能


本科生课程:

1.数字图像处理

2.计算/智能生物医学

3.医学图像处理实践

4.编程实习


研究生课程:

1.医学图像处理(中法班)


纵向科研

[1] 脑形态与功能影像组学网络及其在多动症诊断中的应用研究,国家自然科学基金面上项目,2021.01-2024.12,主持,结题。

[2] 脑网络动态属性在注意缺陷与多动障碍研究中的应用,国家自然科学基金青年基金,2017.01-2019.12,主持,结题。

横向科研
论文

1. Xun-Heng Wang,Peng Wu, Lihua Li, Predicting individual autistic symptoms for patients with autism spectrum disorder using interregional morphological connectivity. Psychiatry Research: Neuroimaging. 2024 Apr 19;341:111822. (SCI, IF=2.1,中科院4区)

2. Xun-Heng Wang,Bohan Zhao, Lihua Li, Mapping white matter structural covariance connectivity for single subject using wavelet transform with T1-weighted anatomical brain MRI, Frontiers in Neuroscience, 2022 Nov;16:1038514.(SCI, IF=5.152,中科院3区)

3.Xun-Heng Wang,Lihua Li, A unified framework for inattention estimation from resting state phase synchrony using machine learning. Frontiers in Genetics. 2021 September;12:728913. (SCI/SSCI, IF=4.772,中科院3区)

4. Xueke Ma, Xun-Heng Wang, Lihua Li, Identifying individuals with autism spectrum disorder based on the principal components of whole-brain phase synchrony. Neuroscience Letters. 2021 Jan 18;742:135519. (SCI/SSCI, IF=3.197,中科院4区)

5. Liangliang Zhang, Xun-Heng Wang, Lihua Li, Diagnosing autism spectrum disorder using brain entropy: A fast entropy method. Computer Methods and Programs in Biomedicine. 2020 Jul;190:105240. (SCI, IF=7.027,中科院2区)

6.Xun-Heng Wang,Yun Jiao, Lihua Li, A unified framework for mapping individual interregional high-order morphological connectivity based on regional cortical features from anatomical MRI. Magnetic Resonance Imaging. 2020 February; 66: 232-239. (SCI, IF=3.13,中科院4区)

7. Xun-Heng Wang,Jie Xu, Lihua Li, Estimating individual scores of inattention and impulsivity based on dynamic features of intrinsic connectivity network. Neuroscience Letters. 2020 April 17; 724:134874. (SCI/SSCI, IF=3.197,中科院4区)

8. Xun-Heng Wang,Yun Jiao, Lihua Li, Decoding visual network‐related dynamic functional connectivity for eyes‐open and eyes‐closed using machine learning. International Journal of Imaging Systems and Technology. 2020 July 1;30(2):455-463. (SCI, IF=2.177,中科院4区)

9. 徐杰,王训恒,厉力华,基于静息态fMRI相位同步的ADHD儿童脑网络研究.中国生物医学工程学报. 2020,39(03).(一级期刊)

10. Xun-Heng Wang,Yun Jiao, Lihua Li. Identifying individuals with attention deficit hyperactivity disorder based on temporal variability of dynamic functional connectivity. Scientific Reports. 2018 Aug 7;8(1):11789.(SCI, IF=4.997,中科院3区)

11. Xun-Heng Wang,Yun Jiao, Lihua Li. Mapping individual voxel-wise morphological connectivity using wavelet transform of voxel-based morphology. PLoS One. 2018 Jul 24;13(7):e0201243. (SCI, IF=3.752,中科院3区)

12. Xun-Heng Wang,Yun Jiao, Lihua Li. Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity. Neuroscience Letters. 2018 Jul 19;685:30-34. (SCI, IF=3.197,中科院4区)

13. Xun-Heng Wang,Yun Jiao, Lihua Li, Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks, Neuroscience, 2017, 362:60-69. (SCI, IF=3.708,中科院3区)

14. Yun Jiao, Xun-Heng Wang, Rong Chen, Tian-Yu Tang, Xi-Qi Zhu, Gao-Jun Teng, Predictive models of minimal hepatic encephalopathy for cirrhotic patients based on large-scale brain intrinsic connectivity networks, Scientific Reports, 2017, 7(1):11512. (SCI, IF=4.997,中科院3区)

15. Xun-Heng Wang, Lihua Li, Tao Xu, Zhongxiang Ding, Investigating the Temporal Patterns within and between Intrinsic Connectivity Networks under Eyes-Open and Eyes-Closed Resting States: A Dynamical Functional Connectivity Study Based on Phase Synchronization, PLoS ONE, 2015, 10(10):e0140300. (SCI, IF=3.752,中科院3区)

16. Xun-Heng Wang, Lihua Li, Altered temporal features of intrinsic connectivity networks in boys with combined type of attention deficit hyperactivity disorder, European Journal of Radiology, 2015, 84(5): 947-95. (SCI, IF=4.531,中科院3区)

17. Xunheng Wang, Yun Jiao, Tianyu Tang, Hui Wang, Zuhong Lu, Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low frequency oscillation: A test-retest reliability study, Neuroscience, 2013, 254:404-26. (SCI, IF=3.708,中科院3区)

18. Xunheng Wang, Yun Jiao, Tianyu Tang, Hui Wang, Zuhong Lu, Altered regional homogeneity patterns in adults with attention-deficit hyperactivity disorder, European Journal of Radiology, 2013, 82(9):1552-1557. (SCI, IF=4.531,中科院3区)

19. Zhenyu Zhou, Xunheng Wang, Nelson J. Klahr, Wei Liu, Diana Arias, Hongzhi Liu, Karen M. von Deneen, Ying Wen, Zuhong Lu, Dongrong Xu, Yijun Liu, A conditional Granger causality model approach for group analysis in functional magnetic resonance imaging, Magnetic Resonance Imaging, 2011, 29(3):418-433. (SCI, IF=3.13,中科院4区)


著作

1.基于楔前叶亚区相位同步的儿童注意力评测方法(授权)

Individual morphological connectivity using wavelet transform

https://www.nitrc.org/projects/mcwt

2018年获杭州电子科技大学优秀骨干教师项目支持。

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