2024年,国家自然科学基金青年基金项目: 基于多模态MRI和深度学习的胶质母细胞瘤瘤周肿瘤浸润分割模型构建及影像标志物发现
2023年,河南省自然青年科学基金项目: 融合MIP派生图像特征的磁共振弥散成像影像组学鉴别胶质母细胞瘤和孤立性脑转移瘤
2023年,河南省高等学校重点科研项目: 面向省级教育专网的统一身份认证系统关键技术研究
2022年,国家自然科学基金青年基金项目: 基于异构特征融合的人体动态PET图像轻量化集体配准方法研究
2022年,国家自然科学基金青年基金项目: 基于多参数MRI表征儿童后颅窝肿瘤生物侵袭性的研究
2021年,河南省高等学校重点科研项目: 省级教育科研网络规划建设与信息服务关键技术研究
2020年-2023年,郑州市协同创新重大专项: 智能工业物联网平台关键技术研究子课题: 1. 面向物联网的边缘计算服务及优化研究 2. 视觉图像处理关键技术研究 3. 海量异构数据分布式挖掘技术研究
2020年-2023年,郑州市协同创新重大专项:新型冠状病毒肺炎的智能化精准诊疗及防控关键问题研究
2021年-2022年,吴阶平医学基金会临床科研专项资助基金:多模态磁共振成像技术在脑胶质瘤分子信息可视化中的应用
2019年,中原千人计划中原领军人才项目:重大神经系统疾病的影像学基础研究
2018年-2021年,国家自然科学基金面上项目:基于影像组学的脑胶质瘤在线分级预测方法研究
2018年,中国教育和科研计算机网下一代互联网技术创新项目:基于IPv6的医学影像在线诊断系统的研究与实现
2018年-2022年,国家自然科学基金重点国际合作交流项目:基于多模态MRI的脑胶质瘤分子分型及组织结构异质性研究
2018年-2020年,国家重点研发计划政府间国际科技创新合作重点项目:多模态磁共振成像精准评估急性缺血性脑卒中的影像生物标志物研究
2017年-2018年,河南省高等学校重点科研项目:河南省教育行业网络与信息安全监测及评价体系研究
2016年-2018年,横向科研项目:郑州大学附属郑州中心医院移动医疗平台
2016年-2017年,中国教育和科研计算机网下一代互联网技术创新项目:基于IPv6的医院移动医疗平台研究
2015年-2018年,郑州市科技局重点专项:互联网医疗与健康服务云平台
Guohua Zhao, Panpan Man, Jie Bai, Pei Pei Wang, Guan Yang, Lei Shi, Yongcai Tao,Yusong Lin, Jingliang Cheng. AI-powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading. IEEE Transactions on Industrial Informatics, 2021. (SCI检索;中科院1区)
Kunpeng Cui, Panpan Fu, Yinghao Li, and Yusong Lin. Bayesian Fully Convolutional Networks for Brain Image Registration. Journal of Healthcare Engineering, 2021. (SCI检索)
Jiale Dong, Caiwei Liu, Panpan Man, Guohua Zhao, Yaping Wu, and Yusong Lin. Fproi-GAN with Fused Regional Features for the Synthesis of High-Quality Paired Medical Images. Journal of Healthcare Engineering, 2021. (SCI检索)
Yamei Li, Guohua Zhao, Qian Zhang, Yusong Lin, and Meiyun Wang. SAP‐cGAN: Adversarial learning for breast mass segmentation in digital mammogram based on superpixel average pooling. Medical Physics, 2021, 48(3): 1157-1167. (SCI检索)
Qian Zhang, Yamei Li, Guohua Zhao, Panpan Man, Yusong Lin, and Meiyun Wang. A novel algorithm for breast mass classification in digital mammography based on feature fusion. Journal of Healthcare Engineering, 2020. (SCI检索)
满盼盼, 赵国桦, 刘泽华, 王梅云, 林予松. 基于价值评估的磁共振单序列多层LVP图像压缩算法. 计算机辅助设计与图形学学报, 2020, 32(07): 1137-1144. (CCF A类,EI检索)
Guohua Zhao, Jie Bai, Guan Yang, Lei Shi, Yongcai Tao, Jingliang Cheng, Yusong Lin. Magnetic resonance imaging standardization for accurate grading of cerebral gliomas. Multimedia Tools and Applications, 2020. (SCI检索)
Guohua Zhao, Jie Bai, Pei Pei Wang, Guan Yang, Lei Shi, Yongcai Tao, Yusong Lin, Jingliang Cheng. HS–GS: A method for multicenter MR image standardization. IEEE Access, 2020, 8: 158512-158522. (SCI检索)
Guohua Zhao, Zehua Liu, Jie Bai, Ankang Gao, Yusong Lin, Jingliang Cheng. Radiomics based on multi departments for differentiating anaplastic astrocytoma and anaplastic oligodendroglioma and predicting 1p19q status. Paris, France, ISMRM, 2020. (影像学国际会议)
Yaping Wu, Zhe Zhao, Weiguo Wu, et al. Automatic glioma segmentation based on adaptive superpixel. BMC Medical Imaging.2019.19(1):0-73. (SCI检索)
Yanghua Fan, Zhenyu Liu, Bo Hou, Longfei Lie, Xiaohai Liua, Zehua Liu, Renzhi Wang, Yusong Lin, Feng Feng, Jie Tian, Ming Feng. Development and validation of an MRI-based radiomic signature for the preoperative prediction of treatment response in patients with invasive functional pituitary adenoma. European Journal of Radiology.2019,Dec,121:108647.(SCI检索;中科院2区)
Qingxia Wu, Kuan Yao, Zhenyu Liu, Longfei Li, Xin Zhao, Shuo Wang, Honglei Shang, Yusong Lin, Zejun Wen, Jie Tian, Meiyun Wang. Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study. BEBioMedicine, 2019,Dec,50:355-365. (SCI检索;中科院1区)
Xi Chen, Yaping Wu, Guohua Zhao, Meiyun Wang, Wenyi Gao, Qian Zhang, Yusong Lin. Automatic histogram specification for Glioma grading using multicenter data. Journal of Healthcare Engineering.2019 Dec. Article ID 9414937, 12 pages. https://doi.org/10.1155/2019/9414937. (SCI检索)
Zhenyu Liu, Jiangang Liu, Huijuan Yuan, Taiyuan Liu, Xingwei Cui, Zhenchao Tang, Yang Du, Meiyun Wang, Yusong Lin, Jie Tian. Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity. Genomics Proteomics Bioinformatics. 2019, Nov,17(4): 441-452. (SCI检索;中科院1区)
Longfei Li, Wei Mu, Yaning Wang, Zhenyu Liu, Zehua Liu, Yu Wang, Wenbin Ma, Ziren Kong, Shuo Wang, Xuezhi Zhou, Wei Wei, Xin Cheng , Yusong Lin, Jie Tian. A Non-invasive Radiomic Method Us 18F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients with Glioma. Frontiers in Oncology,2019,Nov,9:1183.(SCI检索;中科院2区)
Ziren Kong, Jiatong Li, Zehua Liu, Zhenyu Liu, Dachun Zhao, Xin Cheng, Longfei Li, Yusong Lin , Wenbin Ma, Jie Tian, Yu Wang. Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma. Clinical Radiology,2019 Oct;74(10):815.e15-815.e23. (SCI检索)
Longfei Li, Ke Wang, Xiujian Ma, Zhenyu Liu, Shuo Wang, Jiang Du, Kaibing Tian, Xuezhi Zhou, Wei Wei, Kai Sun, Yusong Lin, Zhen Wu, Jie Tian. Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcoma. European Journal of Radiology. 2019,Sep,118:81-87.(SCI检索;中科院2区)
Zhao, Guohua; Wu, Yaping; He, Mengyang; Bai, Jie; Cheng, Jingliang; Lin, Yusong. Preprocessing and Grading of Glioma Data Acquired from Multicenter. Journal of Medical Imaging and Health Informatics,2019,Aug,9(6):1236-1245. (SCI检索)
Ziren Kong, Yusong Lin, Chendan Jiang, Longfei Li, Zehua Liu, Yuekun Wang, Congxin Dai, Delin Liu, Xuying Qin, Yu Wang, Zhenyu Liu, Xin Cheng , Jie Tian, Wenbin Ma. 18F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma. Cancer Imaging. 2019,Aug 19;19(1):58.(SCI检索)
Yaping Wu, Bo Liu, Guohua Zhao, Han Yang, Yuanqin Chen, Qiujie Lv, Meiyun Wang, Yusong Lin. Robust Feature Selection Method of Radiomics for Grading Glioma. Proceeding of the 2nd International Conference on Healthcare Science and Engineering, 2019,May,pp:17~29. (EI检索)
Yuanqin Chen, Qian Zhang, Yaping Wu, Bo Liu, Meiyun Wang, Yusong Lin. Fine-Tuning ResNet for Breast Cancer Classification from Mammography. Proceeding of the 2nd International Conference on Healthcare Science and Engineering, 2019, May,pp:83~96. (EI检索)
Yaping Wu, Huihui Hao, Jie Li, Weiguo Wu, Yusong Lin, and Meiyun Wang. Four-Sequence Maximum Entropy Discrimination Algorithm for Glioma Grading. IEEE Access, 2019, April, 7:52246-52256. (SCI检索;中科院2区)
Zhe Zhao, Guan Yang, Yusong Lin, Haibo Pang, Meiyun Wang. Automated glioma detection and segmentation using graphical models. PLoS ONE, 2018, 13(8).(SCI检索)
Yaping Wu,Bo Liu, Weiguo Wu, Yusong Lin, Cong Yang, Meiyun Wang. Grading glioma by radiomics with feature selection based on mutual information. Journal of Ambient Intelligence and Humanized Computing, 2018, pp.1-12.. (SCI检索)
Ya-Ping Wu, Yu-Song Lin, Wei-Guo Wu, Cong Yang, Jian-Qin Gu, Yan Bai, Mei-Yun Wang. Semiautomatic Segmentation of Glioma on Mobile Devices. Journal of Healthcare Engineering. Volume 2017, Article ID 8054939, 10 pages.(SCI检索)
一等奖2022年河南医学科技奖
医学影像智能化诊疗关键技术创新及示范应用
一等奖2018年河南省科技进步奖
重大神经疾病的影像学诊断研究及临床应用
一等奖2017年河南省医学科技进步奖
重大神经疾病的影像学诊断研究
比赛名称 | 项目名称 | 名次 | 队员 | 指导教师 | 时间 |
郑州大学第二届研究生 人工智能创新大赛 | 基于 MIE-NSCT 增强和 LVP 压缩算法的 医学影像智能分析平台 | 一等奖 | 满盼盼 李亚美 刘彩薇 董家乐 | 林予松 | 2020年 |
第五届下一代互联网技术创新大赛 | 基于IPV6的医学影像在线诊断系统设计与实现 | 二等奖 | 赵国桦 李亚美 满盼盼 | 林予松 | 2019年 |