鄭健  研究員  

研究方向:

電子郵件:zhengj@sibet.ac.cn

電       話:0512-69588115

通訊地址:

簡       歷:

鄭健,博士,研究員。主要從事基于人工智能的醫學影像分析、先進X射線成像技術等領域的研究工作,研發及產業化相應的成像設備及計算機輔助分析軟件。承擔國家和地方科技項目多項,包括:國家重點研發計劃子課題、國家自然基金、江蘇省項目、蘇州市科技計劃專項等。獲評中科院青年創新促進會會員、省部級獎勵1次及蘇州高新區創新創業領軍人才。在IEEE 匯刊(TMI、TIP、TBME、JBHI)、Frontiers in Oncology、European Radiology、JMRI、CMIG、Medical Physics、BSPC等國際期刊上發表SCI論文30余篇,申請發明專利20余項,已授權12項。指導學生曾獲中科院南京分院院長優秀獎學金、伍宜孫獎學金。

獲獎及榮譽:

1.      蘇州市醫學會醫學科技一等獎(2021年,第3完成人)

2.      江蘇省科學技術二等獎(2018年,第3完成人)

3.      蘇州高新區創新創業領軍人才(2017年)

4.      中科院青年創新促進會會員(2014年)

社會任職:

研究方向:

1)基于人工智能的醫學影像分析:融合醫學影像、病理、臨床、基因、分子等多源數據,利用模式識別和卷積神經網絡等數據分析技術,挖掘蘊含在數據中的深層定量特征,指導基礎生物醫學研究和臨床應用。

2)先進X射線成像:利用X射線的相位、能譜等新型成像技術,開展融合人工智能和物理模型的新型成像方法研究,實現低劑量、高對比度、多能譜的X射線成像,推動X線成像新技術的臨床應用。

承擔項目情況:

代表論著:

[1]Yunsong Peng#, Ziliang Cheng#, Chang Gong, Chu-Shan Zheng, Xiang Zhang, Zhuo Wu, Yaping Yang, Xiaodong Yang, Jian Zheng* and Jun Shen*. Pretreatment DCE-MRI-based deep learning outperforms radiomics analysis in predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer[J]. Frontiers in Oncology, 2022. (Accepted)

[2]Wenju Cui, Yunsong Peng, Gang Yuan, Weiwei Cao, Yuzhu Cao, Zhengda Lu, Xinye Ni*, Zhuangzhi Yan*, Jian Zheng*. FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images[J]. Medical Physics, 2022, 49:144-157.

[3]Chengtao Peng, Yue Zhang, Jian Zheng*, Bin Li, Jun Shen*, Ming Li, Lei Liu, Bensheng Qiu, Danny Z. Chen. IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation[J]. Computerized Medical Imaging and Graphics, 2022, 95:102021.

[4]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.

[5]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.

[6]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.

[7] 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.

[8]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.

[9]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.

[10]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.

[11]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.

[12]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.

[13]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.

[14]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.

[15]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.

[16]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.

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