郑健 照片

郑健

博士 研究员

所属大学: 中国科学院苏州生物医学工程技术研究所

所属学院: 未知

邮箱:
zhengj@sibet.ac.cn

个人主页:
http://www.sibet.cas.cn/sourcedb_sibet_cas/zw/yjdw/yjy/201306/t20130621_3879596.html

个人简介

郑健,博士,研究员。主要从事基于人工智能的医学影像分析、先进X射线成像技术等领域的研究工作,研发及产业化相应的成像设备及计算机辅助分析软件。承担国家和地方科技项目多项,包括:国家重点研发计划子课题、国家自然基金、江苏省项目、苏州市科技计划专项等。获评省部级奖励1次及苏州高新区创新创业领军人才。在IEEE汇刊(TMI、TIP、TBME、JBHI)、JMRI、Medical Physics、BSPC、J-X-ray等国际期刊上发表SCI论文20余篇,申请发明专利20余项,已授权12项。指导学生曾获中科院南京分院院长优秀奖学金、伍宜孙奖学金。

获奖及荣誉: 1.江苏省科学技术二等奖(2018年,第3完成人) 2.苏州高新区创新创业领军人才(2017年)

研究领域

(1)基于人工智能的医学影像分析:融合医学影像、病理、临床、基因、分子等多源数据,利用模式识别和卷积神经网络等数据分析技术,挖掘蕴含在数据中的深层定量特征,指导基础生物医学研究和临床应用。 (2)先进X射线成像:利用X射线的相位、能谱等新型成像技术,开展融合人工智能和物理模型的新型成像方法研究,实现低剂量、高对比度、多能谱的X射线成像,推动X线成像新技术的临床应用。

学术兼职

3.中科院青年创新促进会会员(2014年)

近期论文

[1]Jian Zheng,Haotian Sun,Shandong Wu,Ke Jiang,Yunsong Peng,Xiaodong Yang,Fan Zhang*,Ming Li*.3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection[J].IEEE Journal of Biomedical and Health Informatics,2020.(已接收) [2]Lun Gong,Luwen Duan,Yakang Dai,Qi He,Siyang Zuo,Tianxiao Fu,Xiaodong Yang,Jian Zheng*.Locally adaptive total p-variation regularization for non-rigid image registration with sliding motion[J].IEEE Transactions on Biomedical Engineering,2020.(已接收) [3]Yunsong Peng,Shandong Wu,Gang Yuan,Zhongyi Wu,Qiang Du,Haotian Sun,Xiaodong Yang,Qian Chen*,Jian Zheng*.A radiomics method to classify microcalcification clusters in digital breast tomosynthesis[J].Medical Physics,2020.(已接收) [4]Lun Gong,Cheng Zhang,Luwen Duan,Xueying Du,Hanqiu Liu,Xinjian Chen*,Jian Zheng*.Non-rigid image registration using spatially region-weighted correlation ratio and GPU-acceleration[J].IEEE Journal of Biomedical and Health Informatics.2019,23(2):766-778. [5]Fan Zhang,Shandong Wu,Cheng Zhang,Qian Chen,Xiaodong Yang,Ke Jiang*,Jian Zheng*.Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis[J].Medical Physics,2019,46(3):1300-1308. [6]Luwen Duan,Gang Yuan,Lun Gong,Tianxiao Fu,Xiaodong Yang,Xinjian Chen,Jian Zheng*.Adversarial learning for deformable registration of brain MR image using a multi-scale fully convolutional network[J].Biomedical Signal Processing and Control,2019. [7]Lun Gong,Haifeng Wang,Chengtao Peng,Yakang Dai,Min Ding,Yinghao Sun,Xiaodong Yang and Jian Zheng*.Non-rigid MR-TRUS image registration for image?guided prostate biopsy using correlation ratio-based mutual information[J].BioMedical Engineering OnLine,16(8):1-21,2017. [8]Chengtao Peng,Bensheng Qiu,Ming Li,Yihui Guan,Cheng Zhang,Zhongyi Wu and Jian Zheng*.Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction[J].BioMedical Engineering OnLine,16(1),2017. [9]Ming Li,Cheng Zhang,Chengtao Peng,et al.smoothed l0 norm regularization for sparse-view x-ray CT reconstruction[J].BioMed Research International,Volume 2016,Article ID 2180457.(通讯作者) [10]Cheng Zhang,Tao Zhang,Ming Li,et al.Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares[J].BioMedical Engineering OnLine,15(1),2016.(通讯作者) [11]Ming Li,Jian Zheng*,Tao Zhang,Yihui Guan,Pin Xu and Mingshan Sun.A prior-based metal artifact reduction algorithm for X-ray CT[J].Journal of X-ray Science and Technology,2015,23(2):229-241. [12]Cheng Zhang,Tao Zhang,Jian Zheng*,Ming Li,Yanfei Lu,Jiali You,Yihui Guan.A Model of Regularization Parameter Determination in Low-Dose X-Ray CT Reconstruction Based on Dictionary Learning[J].Computational and Mathematical Methods in Medicine,Article ID 831790,2015.