李志成-研究员

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    姓名:李志成

    职称:研究员

    学位:博士

    邮箱: zc.li@siat.ac.cn

    研究领域:医学影像智能分析,影像基因组学

  • 个人简介
  • 代表性项目
  • 代表性论著

李志成(LI ZHI CHENG),博士/博士后,中国科学院深圳先进技术研究院研究员,博士生导师。国家863计划青年科学家,广东省“特支计划”科技创新青年拔尖人才,深圳市孔雀计划海外高层次人才,深圳市后备级高层次人才。中国科学院青年创新促进会会员。研究领域为肿瘤影像-病理-基因组学智能分析。主持国家自然科学基金联合重点项目、科技部863项目、国家自然科学基金面上项目和青年基金、广东省省院战略合作项目、深圳市孔雀计划海外人才创新项目、深圳市基础研究学科布局项目、深圳市战略新兴产业专项基础研究项目等。参与科技部973、国自然仪器专项和国自然重点等项目。累计主持科研经费超过1500万元。担任医学影像类期刊《European Radiology》(IF=4.10)编委。担任临床肿瘤类期刊《Translational Oncology》(IF=3.56)编委。担任计算机视觉与图像处理类期刊《Displays》(IF=1.74)编辑。以第一作者和通信作者发表SCI学术论文40余篇。已授权发明专利16项。研发的脑胶质瘤IDH1突变影像学智能检测方法已在临床试用。获2019年吴文俊人工智能技术发明奖二等奖。中国生物医学工程学会医学物理分会首届青年委员。欧洲放射学会通信会员。中国生物医学工程学会医学人工智能分会会员。中华医学会数字医学分会会员。深圳市医疗器械职称评审专家。
个人主页:http://people.ucas.ac.cn/~lizhicheng


 


(1)脑胶质瘤纵向融媒体智能识别与个性化辅助诊疗研究,主持,国家自然科学基金联合重点项目,300万,2021-01-01--2024-12-30

(2)早期肿瘤的高分辨X射线相衬荧光多模CT成像研究,主持,深圳市基础研究学科布局项目,300万,2017-07-01--2019-06-30

(3)动态三维血管路图引导的脑动脉瘤介入栓塞治疗关键技术研究,主持,国家863计划青年科学家专题,120万,2015-01-01--2017-12-31

(4)脑胶质瘤空间-时间异质性的多模态磁共振自动定量分析方法及其影像基因组学应用,主持,国自然面上项目,68万,2016-01-01--2019-12-31

(5)中科院青年创新促进会会员,主持,80万,2018-01-01--2021-12-31

(6)基于多模态影像学的缺血性脑血管病疗效预测模型研究(解放军总医院主持),参与,国自然重点基金,300万,2018-01-01--2022-12-31

(7)脑胶质瘤精准诊疗技术的关键科学问题研究,参与,国家973项目,2015-01-01--2019-12-31

(8)广东省特支计划科技创新青年拔尖人才项目,主持,30万,2015-04-01--2018-03-31

(9)动态全景式3D内镜引导的软组织微创治疗关键技术研究,主持,深圳市孔雀计划技术创新项目,50万,2015-01-01--2016-12-31

(10)针对珠三角地区多发性肾结石的三维超声引导经皮肾穿刺精准取石关键技术研究,主持,深圳市战略新兴产业专项,30万,2015-01-01--2016-12-31

(11)高精度医学信息立体空间透视融合装置(清华大学主持),参与,国自然仪器研制项目,700万,2015-01-01--2019-12-31

1· Yuanshen Zhao#, Guiqin Liu#, Qiuchang Sun, Guangtao Zhai, Guangyu Wu*, Zhi-Cheng Li*. Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways. European Radiology. 2021. https://doi.org/10.1007/s00330-020-07590-2

2· Tianding Ding, Zhengyu Zhang, Jing Yan, Qiuchang Sun, Yuanshen Zhao, Zhi-Cheng Li*. GaLNet: Weakly-Supervised Learning for Evidence-Based Tumor Grading and Localization in MR Imaging. In Proceeding of Digital TV and Wireless Multimedia Communication. IFTC 2020. Communications in Computer and Information Science, vol 1390. Springer, Singapore. https://doi.org/10.1007/978-981-16-1194-0_22

3· JingYan#, Shenghai Zhang#, Kay Ka-Wai Li#, Weiwei Wang, Ke Li, Wenchao Duan, Binke Yuan, Li Wang, Lei Liu, Yunbo Zhan, Dongling Pei, Haibiao Zhao, Tao Sun, Chen Sun, Wenqing Wang, Zhen Liu, Xuanke Hong, Xiangxiang Wang, Yu Guo, Wencai Li, Jingliang Cheng, Xianzhi Liu, Ho-Keung Ng, Zhicheng Li*, Zhenyu Zhang*.  Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma. EBioMedicine. 61: 103093, 2020. https://doi.org/10.1016/j.ebiom.2020.103093

4· Jing Yan#, Lei Liu#, Weiwei Wang#, Yuanshen Zhao#, Kai-Wai Kay, Ke Li, Li Wang, Binke Yuan, Haiyang Geng, Shenghai Zhang, Zhen Liu, Wenchao Duan, Yunbo Zhan, Dongling Pei, Haibiao Zhao, Tao Sun, Chen Sun, Wenqing Wang, Xuanke Hong, Yu Guo, Wencai Li, Jingliang Cheng, Xianzhi Liu, Ho-Keung Ng, Zhi-Cheng Li*, Zhenyu Zhang*. Radiomic features from multi-parameter MRI combined with clinical parameters predict molecular subgroups in patients with medulloblastoma. Frontiers in Oncology. 2020. https://doi.org/10.3389/fonc.2020.558162

5·Shifu Chen*, Changshou He, Yingqiang Li, Zhicheng Li, Charles E Melancon III. A computational toolset for identification of SARS-CoV-2, other viruses and microorganisms from sequencing data. Briefings in Bioinformatics. 2020. https://doi.org/10.1093/bib/bbaa231

6· Shenghai Zhang#, Mengfan Song#, Yuanshen Zhao, Shuaishuai Xu, Qiuchang Sun, Guangtai Zhai, Dong Liang, Guangyu Wu*, Zhi-Cheng Li*. Radiomics Nomogram for Preoperative Prediction of Recurrence-Free Survival Using Diffusion-Weighted Imaging in Patients with Muscle-Invasive Bladder Cancer. European Journal of Radiology. 2020. https://doi.org/10.1016/j.ejrad.2020.109219

7· Zhanli Hu, Zixiang Chen, Chao Zhou, Xuda Hong, Jianwei Chen, Qiyang Zhang, Changhui Jiang, Yongshuai Ge, Yongfeng Yang, Xin Liu, Hairong Zheng, Zhi-Cheng Li*, Dong Liang*. Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array. Journal of X-Ray Science and Technology. 2020. https://doi.org/10.3233/XST-200668

8· Yongshuai Ge#, Peizhen Liu#, Yifan Ni#, Jianwei Chen, Jiecheng Yang, Ting Su, Huitao Zhang, Jinchuan Guo, Hairong Zheng, Zhi-Cheng Li*, Dong Liang*. Enhancing the X-ray differential phase contrast image quality with deep learning technique. IEEE Transactions on Biomedical Engineering. 2020. https://doi.org/10.1109/TBME.2020.3011119 

9· Qiuchang Sun#, Xiaona Lin#, Yuanshen Zhao, Ling Li, Kai Yan, Dong Liang, Desheng Sun*, Zhi-Cheng Li*. Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region. Frontiers in Oncology. 2020. https://doi.org/10.3389/fonc.2020.00053

10· Kai Yan, Qiuchang Sun, Ling Li, Zhi-Cheng Li*. 3D Deep Residual Encoder-Decoder CNNS with Squeeze-and-Excitation for Brain Tumor Segmentation. In Proc of The International MICCAI Brainlesion Workshop. BrainLes 2019: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. https://doi.org/10.1007/978-3-030-46643-5_23

其余代表性论文详见附件。

李志成文章列表(更新).docx



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