姓名：郑强
职称：副教授
所在院系：计算机系
最后学位：博士
最后学历：研究生
最后毕业院校：山东大学
所学专业：通信与信息系统
研究方向：数字影像与智能计算
联系方式：zhengqiang@ytu.edu.cn

个人简介：
烟台大学智慧医疗产业技术研究院负责人，烟台大学计算机与控制工程学院“数字影像与智能计算”团队负责人，致力于人工智能与医疗领域的学科交叉，通过人工智能先进技术辅助医生开展疾病诊断及预后分析，并实现AI医疗的产业化落地。研究方向包括医学图像计算、机器学习、深度学习、模式识别等。
欢迎对 AI 医疗感兴趣的教师、医生和同学加盟！

教育经历：
2018.08-2019.12，美国费城儿童医院影像科，博士后，导师：Raymond Wang Sze, Hao Huang, Misun Hwang
2017.01-2018.08，美国宾夕法尼亚大学医学院，博士后，导师：Yong Fan
2015.08-2020.06，中科院自动化所模式识别国家重点实验室，博士后，导师：范勇，唐明
2008.09-2013.12，山东大学(硕博连读)，博士，导师：董恩清
2004.09-2008.06，山东大学，学士
工作经历：
2020.01-至今 副教授 烟台大学
2014.02-2020.01 讲师 烟台大学
主讲课程：
数字逻辑与数字系统、电路与模拟电子技术等
主持课题：
基于深度学习和多图谱方法的磁共振脑图像分割算法研究，国家自然科学青年基金，主持，在研，26万元
磁共振脑图像深层灰质神经核团四维分割研究，山东省优秀中青年科研奖励基金(博士基金)，主持，结题，6万元
第58批中国博士后科学基金面上项目，主持，结题，5万元
中国博士后国际交流计划派出项目，主持，结题，30万元
代表性论文：


在投论文：

[1] Cerebral pulsed arterial spin labeling perfusion weighted imaging predicts language and motor outcomes in neonatal hypoxic-ischemic encephalopathy, submitted.
[2] Sex-related differences in arterial labeled perfusion of metabolically active brain structures in neonatal hypoxic-ischemic encephalopathy, submitted.
[3] Application Value of Myocardial Work Technology by Non-invasive Echocardiography in Evaluating Left Ventricular Function in Patients with Chronic Heart Failure, submitted.
[4] A Computational Model of Thrombus Growth Based on Level Set Method, submitted.
[5] Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam computed tomography by deep learning, submitted.
[6] Potential biomarkers for predicting of depression in diabetes mellitus, submitted


期刊论文：

[1] Qiang Zheng, Angela N Viaene, Colbey W Freeman, Misun Hwang, “Radiologic-pathologic evidence of brain injury: Hypoperfusion in the Papez circuit results in poor neurodevelopmental outcomes in neonatal hypoxic-ischemic encephalopathy,” Childs Nervous System, Jul 2020.
[2] Qiang Zheng, Sphoorti Shellikeri, Hao Huang, Misun Hwang, Raymond W Sze, “Deep learning measurement of leg length discrepancy in children based on radiographs,” Radiology, vol. 296, no. 1, pp. 152-158, Jul 2020.
[3] Qiang Zheng, Maxim Itkin, Yong Fan, “Quantification of thoracic lymphatic flow patterns using dynamic contrast-enhanced MR Lymphangiography,” Radiology, vol. 296, no. 1, pp. 202-207, Jul 2020.
[4] Qiang Zheng, Susan Furth, Gregory Tasian, Yong Fan, "Computer aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deeptransfer learning image features", Journal of Pediatric Urology, vol.15, no.1, pp.e1-e7, Feb 2019.
[5] Qiang Zheng, Yihong Wu, Yong Fan, "Integrating semi-supervised and supervised learning methods for label fusion in multi-atlas based image segmentation", Frontiers in Neuroinformatics, vol. 12, no. 69, pp. 1-11, Oct 2018.
[6] Qiang Zheng, Honglun Li, Baode Fan, Shuanhu Wu, Jindong Xu, “Integrating support vector machine and graph cuts for medical image segmentation,” Journal of Visual Communication and Image Representation, vol. 55, pp. 157-165, Aug 2018.
[7] Qiang Zheng, Steven Warner, Gregory Tasian, Yong Fan*, "A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images," Academic Radiology, vol. 25, no. 9, pp. 1136-1145, 2018.
[8] Qiang Zheng, Honglun Li, Baode Fan, Shuanhu Wu, Jindong Xu, Zhulou Cao, “Modified localized multiplicative graph cuts based active contour model for object segmentation based on dynamic narrow band scheme,” Biomedical Signal Processing and Control, vol. 33, pp. 119-131, Mar 2017.
[9] Qiang Zheng, Honglun Li, Baode Fan, Shuanhu Wu, Jindong Xu, “Novel active contour model based on multi-variate local Gaussian distribution for local segmentation of MR brain images,” Optical Review, vol.24, no. 6, pp. 653-659, Dec 2017.
[10] Qiang Zheng, BaoDe Fan, ShuanHu Wu, and JinDong Xu, “Novel local-region-based active contour integrating fuzzy clustering and structure constraint for putamen segmentation in T1-weighted magnetic resonance brain images,” Journal of Medical Imaging and Health informatics, vol.7, pp. 956-961, Sep 2017.
[11] 孙文燕，董恩清，曹祝楼，郑强，“一种基于模糊主动轮廓模型的鲁棒局部分割方法，”自动化学报，vol. 43, no. 4, pp. 611-621, Apr 2017
[12] Zhulou Cao, Enqing Dong, Qiang Zheng, Wenyan Sun, Zhenzhi Li, “Accurate inverse-consistent symmetric optical flow for 4D CT lung egistration,”Biomedical Signal Processing and Control, vol. 24, pp. 25-33, Feb 2016.
[13] Qiang Zheng, Enqing Dong, Zhulou Cao, and Wenyan Sun, “Active contour model driven by linear speed function for local segmentation with robust initialization and application in MR brain Images,” Signal Processing, vol. 97, pp. 117-133, Apr 2014.
[14] Enqing Dong, Qiang Zheng*, Wenyan Sun, Zhenguo Li, and Li Li,“Constrained Multiplicative graph cuts based active contour model for magnetic resonance brain image series segmentation,” Signal Processing, vol. 104, pp. 59-69, Nov 2014.
[15] Qiang Zheng, Enqing Dong, Zhulou Cao, Wenyan Sun, and Zhenguo Li, “Modified localized graph cuts based active contour model for local segmentation with surrounding nearby clutter and intensity inhomogeneity,” Signal Processing, vol. 93, no. 4, pp. 961-966, Apr 2013.
[16] 郑强，董恩清，“窄带主动轮廓模型及在医学和纹理图像局部分割中的应用，”自动化学报，vol. 39, no. 1, pp. 21-30, Jan 2013。
[17] Qiang Zheng, Enqing Dong, and Zhulou Cao, “Graph cuts based active contour model with selective local or global segmentation,” Electronics Letters, vol. 48, no. 9, pp. 490-491, Apr 2012.
[18] Qiang Zheng, Enqing Dong, “New local segmentation model for images with intensity inhomogeneity,” Optical Engineering, vol. 51, no. 3, pp. 037006-1-037006-10, Apr 2012.
[19] 郑强，董恩清，“一种新的基于二值水平集和形态学的局部分割方法,”电子与信息学报，vol. 34，no. 2，pp. 375-381，Apr 2012。


会议报告：
[1] Qiang Zheng, Chenying Zhao, Minhui Ouyang, Arastoo Vossough, Giulio Zuccoli, Raymond Wang Sze, Hao Huang, Misun Hwang, “Decreased fractional anisotropy in the diffusion tensor imaging of neonatal hypoxic-ischemic encephalopathy with normal conventional MRI, ” International Society for Magnetic Resonance in Medicine (ISMRM) 2020 Annual meeting, April 18-23.
[2] Qiang Zheng, Angela N. Viaene, Colbey W. Freeman, Misun Hwang, “Radiologic-pathologic evidence of brain injury: Hypoperfusion in the Papez circuit results in poor neurodevelopmental outcomes in neonatal hypoxic ischemic encephalopathy,” The Society for Pediatric Radiology (SPR) 2020, May 9-15.
[3] Qiang Zheng, Shellikeri, Sphoorti, Misun Hwang, Raymond Sze, Automatic Measurement of Leg Length Discrepancies in Pediatric Patients on X-Ray Imaging using Deep Learning, RSNA 2019.
[4] Qiang Zheng, Minhui Ouyang, Juan Sebastian Martin-Saavedra, Sandra Saade-Lemus, Qinlin Yu, Raymond Wang Sze, John Flibotte, John Detre, Hao Huang, Misun Hwang, "Increased brain perfusion in neonatal hypoxic ischemic injury with negative reading of DWI, T1/T2-weighted images: Implications of perfusion MRI for reperfusion response monitoring and prognostication," International Society for Magnetic Resonance in Medicine (ISMRM) 2019 Annual meeting, May 11-16.
[5] Qiang Zheng, Juan S. Martin-Saavedra, Minhui Ouyang, Sandra Saade-Lemus, Qinlin Yu, Hao Huang, Raymond Sze, Misun Hwang, "Quantitative ASL perfusion method for detection of neonatal hypoxic ischemic injury as reference standard for developing contrast-enhanced ultrasound," The Society of Pediatric Radiology (SPR) 2019 Annual Meeting, Apr 30-May 4.
[6] Qiang Zheng, Juan S. Martin-Saavedra, Minhui Ouyang, Sandra Saade-Lemus, Qinlin Yu, Hao Huang, Raymond Sze, Misun Hwang, "Region-specific perfusion alterations in neonatal hypoxic ischemic injury evaluated with arterial spin labeling MRI," The Society of Pediatric Radiology (SPR) 2019 Annual Meeting, Apr 30-May 4.
[7] Qiang Zheng, Yong Fan*, "Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation," IEEE 15th International Symposium on Biomedical Imaging (ISBI), pp. 154-157, Washington DC, USA, Apr 4-7, 2018.
[8] Qiang Zheng, Gregory Tasian, Yong Fan*, "Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging," IEEE 15th International Symposium on Biomedical Imaging (ISBI), pp. 1487-1490, Washington DC, USA, Apr 4-7, 2018.
[9] Henry Cheng, Qiang Zheng, Xiaofeng Zhu, Amanda M. Smith, Yiwen Qian, Rupal O’Quinn, Frank Silvestry, Yuchi Han, Marielle Scherrer-Crosbie, Victor Ferrari, Kevin Duffy, Dinesh Jagasia, Christos Davatzikos, Yong Fan, Bonnie Ky, "The use of machine learning for predict Doxorubicin cardiotoxicity, " vol.71, no. 11 Supplement, Journal of the American College of Cardiology, 2018.
主要教学成果：


指导研究生情况：
欢迎对AI医疗感兴趣的同学加盟！