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:肿瘤影像-病理-基因融合的智能诊疗、生物医学成像仪器研制
(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
# indicates equal contribution authors. * indicates corresponding authors.
· Weiwei Wang#, Yuanshen Zhao#, Lianghong Teng#,Jing Yan#, …, Xianzhi Liu, Hairong Zheng, Dong Liang, Wencai Li*, Zhi-Cheng Li*, and Zhenyu Zhang*. Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images. Nature Communications. 2023.
· Wenxia Wu, Jing Yan, Dong Liang, Zhenyu Zhang, Zhi-Cheng Li*. Semi-supervised Medical Image Segmentation with Multiscale Contrastive Learning and Cross-Supervision. In Proc. of 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023). Sydney, Australia. July 2023.
· Wenxia Wu#, Jing Yan#, Yuanshen Zhao, Qiuchang Sun, Huailing Zhang, Jingliang Cheng, Dong Liang, Yinsheng Chen, Zhenyu Zhang*, Zhi-Cheng Li*. Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI. Displays. 78:102402. 2023. IF:3.1. https://doi.org/10.1016/j.displa.2023.102402
· Jingxian Duan#, Zhenyu Zhang#, Yinsheng Chen#, Yuanshen Zhao, Qiuchang Sun, Weiwei Wang, Hairong Zheng, Dong Liang, Jingliang Cheng*, Jing Yan*, and Zhi-Cheng Li*. Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: a multicenter study. Molecular Oncology. 17(4): 629-646, 2023. IF: 7.45. https://doi.org/10.1002/1878-0261.13380
· Huixia You, Yuanshen Zhao, Qiuchang Sun, Wenxia Wu, Xiaofei Lv, Yinsheng Chen, Huailing Zhang, Zhi-Cheng Li*. Deep learning MRI signature to predict survival and treatment benefit from temozolomide in IDH-wildtype glioblastoma. Displays. 2023. IF: 3.1. https://doi.org/10.1016/j.displa.2023.102399
· Haiyan Wang, Yaping Wu, Zhenxing Huang, Zhi-Cheng Li, Na Zhang, Fangfang Fu, Nan Meng, Haining Wang, Yun Zhou, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Greta S. P. Mok, Meiyun Wang*, and Zhanli Hu*. Deep learning–based dynamic PET parametric Ki image generation from lung static PET. European Radiology. 2022. IF: 7.02. https://doi.org/10.1007/s00330-022-09237-w
· Yuanshen Zhao, Jingxian Duan, Zhi-Cheng Li, Ningli Chai, Longsong Li. A radiopathomics model for prognosis prediction in patients with gastric cancer. In Proc. of 14th Biomedical Engineering International Conference (BMEiCON 2022). Songkhla, Thailand, 2022. https://doi.org/10.1109/BMEiCON56653.2022.10012107
· Jing Yan#, Qiuchang Sun#, Xiangliang Tan#, Chaofeng Liang, Hongmin Bai, Wenchao Duan, Tianhao Mu, Yang Guo, Yuning Qiu, Weiwei Wang, Qiaoli Yao, Dongling Pei, Yuanshen Zhao, Danni Liu, Jingxian Duan, Shifu Chen, Chen Sun, Wenqing Wang, Zhen Liu, Xuanke Hong, Xiangxiang Wang, Yu Guo, Yikai Xu, Xianzhi Liu, Jingliang Cheng*, Zhi-Cheng Li*, and Zhenyu Zhang*. Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study. European Radiology. 2022. IF: 7.02. https://doi.org/10.1007/s00330-022-09066-x
· Zhi-Cheng Li#, Jing Yan#, Shenghai Zhang#, Chaofeng Liang, Xiaofei Lv, Yan Zou, Huailing Zhang, Dong Liang, Zhenyu Zhang*, Yinsheng Chen*. Glioma survival prediction from whole-brain MRI without tumor segmentation using deep attention network: A multicenter study. European Radiology. 32: 5719–5729, 2022. IF:7.02. https://doi.org/10.1007/s00330-022-08640-7
· Yizhou Chen, Xu-Hua Yang, Zihan Wei, Ali Asghar Herdari, Nenggan Zheng, Zhi-Cheng Li, Huiling Chen*, Haigen Hu, Qianwei Zhou, Qiu Guan*. Generative adversarial networks in medical image augmentation: a review. Computers in Biology and Medicine. 144(1): 105382. 2022. IF:6.70. https://doi.org/10.1016/j.compbiomed.2022.105382
其余代表性论文详见附件。