李铭，博士，副研究员，硕士生导师。2015 年至今在中科院苏州医工所工作，主要从事生物医学成像理论以及机器学习方法在生物医学成像中的应用。近5年先后主持多项国家级科研项目，包括国家自然科学基金项目1项，国家重点研发计划课题2项等；同时参与多项国家级、省市级项目。获评中国科学院特聘骨干（基础原创类）岗位。目前，与国产CT设备厂商纳米维景、明峰医疗、波影医疗、善思微等公司联合开展了CT智能成像方法的研究工作。已在IEEE 汇刊(TMI, JBHI, TCYB, TRPM), European Radiology、Medical Physics、CMIG、CBM等国内外知名期刊发表学术论文30余篇，其中，第一作者论文10篇，通讯作者论文8篇。申请发明专利10项，其中授权发明专利6项。

1.       低剂量CT成像方向：利用高端CT设备的精确3D光学模型建模和深度域适应理论框架，开展深度全模型迭代重建方法研究

2.       磁粒子成像（MPI）方向：利用压缩感知理论和深度学习方法开展大视场MPI快速成像方法研究

1.        国家重点研发计划课题,  CT低剂量成像创新重建方法研究, 2016-07至2019-12, 136万, 结题, 主持

2.       国家自然科学基金，基于动态优化模型的CT金属伪影校正方法研究, 2018-01至2020-12, 29万元, 结题, 主持

3.       国家重点研发计划课题，大面积CMOS 平板探测器性能测试、优化及应用评价，2022-11至2027-10，120万元, 在研, 主持

4.       省社发面上项目, 建立基于深度学习的超声图像引导自适应放射治疗方法及临床应用研究, 2022-07 至 2025-06, 100万元, 在研, 单位负责人

5.       中国科学院特聘骨干（基础原创类），150万，2022.11-2027.11

[1] Ming Li^#, Jiping Wang^#, Yang Chen^*, Yufei Tang, Zhongyi Wu, Yujin Qi, Haochuan Jiang, Jian Zheng^*, and Benjamin M. W. Tsui. Low-dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network with Noise Encoding Transfer Learning [J]. IEEE Transactions on Medical Imaging, 2023.

[2] Jiping Wang; Yufei Tang; Zhongyi Wu; Benjamin M. W. Tsui; Wei Chen; Xiaodong Yang; Jian Zheng; Ming Li^* ; Domain‐adaptive denoising network for low‐dose CT via noise estimation and transfer learning, Medical Physics, 2023, 50(1): 74-88.

[3] Qiang Du^#; Yufei Tang^#; Jiping Wang; Xiaowen Hou; Zhongyi Wu; Ming Li^*; Xiaodong Yang; Jian Zheng ; X-ray CT image denoising with MINF: A modularized iterative network framework for data from multiple dose levels, Computers in Biology and Medicine, 2023, 152(2023): 106419.

[4] Yufei Tang^#; Qiang Du^#; Jiping Wang; Zhongyi Wu; Yunxiang Li; Ming Li^*; Xiaodong Yang; Jian Zheng^* ; CCN-CL: A content-noise complementary network with contrastive learning for low-dose computed tomography denoising, Computers in Biology and Medicine, 2022, 147(2022): 105759.

[5] Haotian Sun, Shandong Wu, Xinjian Chen, Ming Li, Lingji Kong, Xiaodong Yang,You Meng, Shuangqing Chen^*, and Jian Zheng^*, SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalci？cation Classi？cation in Digital Breast Tomosynthesis, IEEE Transactions on Cybernetics, 2022.

[6]  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.

[7] Mei Li; Qiang Du; Luwen Duan; Xiaodong Yang; Jian Zheng; Haochuan Jiang*; Ming Li*; Incorporation of residual attention modules into two neural networks for low-dose CT denoising, Medical Physics, 2021, 48(6): 2973-2990.

[8] Zhaobang Liu; Ming Li; Changjing Zuo; Zehong Yang; Xiaokai Yang; Shengnan Ren; Ye Peng; Gaofeng Sun; Jun Shen; Chao Cheng*; Xiaodong Yang*; Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and autoimmune pancreatitis, European Radiology, 2021, 31(9): 6983-6991.

[9] Temitope E. Komolafe; Qiang Du; Yin Zhang; Zhongyi Wu; Cheng Zhang*; Ming Li*; Jian Zheng; XiaodongYang; Material decomposition for simulated dual-energy breast computed tomography via hybrid optimization method, Journal of X-Ray Science and Technology, 2020, 28(6): 1037-1054.

[10] Temitope E. Komolafe，Kang Wang，Qiang Du，Tao Hu，Gang Yuan, Jian Zheng, Cheng Zhang*, Ming Li*, Xiaodong Yang. Smoothed L0-Constraint Dictionary Learning for Low Dose X-ray CT Reconstruction, IEEE Access, 2020.

[11] Chengtao Peng, Bin Li*, Ming Li, Hongxiao Wang, Zhuo Zhao, Bensheng Qiu, Danny Z Chen. An Irregular Metal Trace Inpainting Network for X-ray CT Metal Artifact Reduction, Medical Physics, 2020.

[12] Ming Li, Cheng Zhang, Chengtao Peng, Yihui Guan, Pin Xu, Mingshan Sun and Jian Zheng^*. Smoothed l₀ norm regularization for sparse-view x-ray CT reconstruction [J]. BioMed Research International, 2016, 2016:2180457(1-12).

[13] Ming Li, Jian Zheng*, Tao Zhang, Yihui Guan, Pin Xu, Minshan 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.

[14] Ming Li, Jian Zheng*, Shi-Hui Zhou, Gang Yuan, Zhongyi Wu. A constrained optimization reconstruction model for x-ray CT metal artifact suppression, Journal of Medical Imaging and Health Informatics.2015, 5(7):1-5.

[15] 李铭*, 郑健, 章程, 周哲，张涛. 应用变权全变分重建抑制CT金属伪影[J]. 光学精密工程, 2015, 23(6):1714-1721.