郑健研究员
研究方向：
电子邮件：zhengj@sibet.ac.cn
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简历： 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。获评中科院青年创新促进会会员、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）
3. 中科院青年创新促进会会员（2014年）

社会任职：
研究方向： （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。

承担项目情况：
代表论著： [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, 2021, 25 (3):764-773.
[2]Xiang Zhang#, Zehong# Yang, Wenju Cui, Chushan Zheng, Haojiang Li, Yudong Li, Liejing Lu, Jiaji Mao, Weike Zeng, Xiaodong Yang, Jian Zheng*, Jun Shen*. Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer[J]. European Radiology, 2021: 1-16.
[3]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, 67(9): 2560-2571.
[4] Luwen Duan, Xinye Ni, Qi Liu, Lun Gong, Gang Yuan, Ming Li, Xiaodong Yang, Tianxiao Fu*, Jian Zheng*. Unsupervised learning for deformable registration of thoracic CT and cone‐beam CT based on multiscale features matching with spatially adaptive weighting[J]. Medical Physics, 2020, 47(11): 5632-5647.
[5]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, 47(8): 3435-3446.
[6]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.
[7]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.
[8]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.
[9]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.
[10]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.
[11]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 **.
[12]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.
[13]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.