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钟丽明

作者:  来源:   阅读量:  发布时间:2022-05-27 16:01:11


姓名:钟丽明

联系邮箱:limingzhongmindy@gmail.com


学习经历(学士、硕士、博士):

2009.09-2013.06 南方医科大学,生物医学工程,学士

2014.09-2019.12 南方医科大学,生物医学工程,博士


工作经历:

2020.01-2022.02 南方医科大学生物医学工程学院,博士后

2022.03-至今 南方医科大学生物医学工程学院信息技术系,教师



研究方向:

医学人工智能


主要学术任职:

广东省生物医学工程学会医疗机器人与人工智能分会,会员


主要科研课题:

国家自然科学基金青年项目,“基于多任务学习的医学图像模态合成方法研究”,项目编号62101239,2022.01-2024.12,30万,在研主持


代表性论文:

(1) Xi, Yuhua#, Zhong, Liming#, Xie, Weijie, Qin, Genggeng, Liu, Yunbi, Feng, Qianjin, and Yang, Wei*; "View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs." IEEE Access, 2021, 9:59835-59847.

(2) Zhong, Liming; Li, Tengfei; Shu, Hai; Huang, Chao; Johnson, Jason Michael; Schomer,Donald F; Liu, Ho-Ling; Feng, Qianjin; Yang, Wei; Zhu, Hongtu*; (TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients, NeuroImage, 2020, 233: 117368-117368.(SCI一区)

(3) Zhong, Liming; Chen, Yanlin; Zhang, Xiao; Liu, Shupeng; Wu, Yuankui; Liu, Yunbi; Lin, Liyan; Feng, Qianjin*; Chen, Wufan; Yang, Wei*; Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction, IEEE Journal of Biomedical and Health Informatics, 2020, 24(4): 1114-1124.SCI一区)

(4) Zhong, Liming#; Zhang, Xiao#; Xi, Yuhua; Lian, Zhouyang; Feng, Qianjin; Chen, Wufan; Zhang, Shuixing*; Yang, Wei*; Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage, IEEE Access, 2020, 8:184710-184721.

(5) Zhang, Bin#; Lian, Zhouyang#; Zhong, Liming#; Zhang, Xiao; Dong, Yuhao; Chen, Qiuying; Zhang, Lu; Mo, Xiaokai; Huang, Wenhui; Yang, Wei*; Zhang, Shuixing*; Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma, BMC Cancer, 2020, 20(1): 502.

(6) Yang, Wei#; Zhong, Liming#; Chen, Yang; Lin, Liyan; Lu, Zhentai; Liu, Shupeng; Wu,Yao; Feng, Qianjin*; Chen, Wufan; Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors, IEEE Transactions on Medical Imaging, 2018, 37(4): 977-987.SCI一区)

(7) Zhong, Liming; Lin, Liyan; Lu, Zhentai; Wu, Yao; Lu, Zixiao; Huang, Meiyan; Yang, Wei*; Feng, Qianjin; Predict CT image from MRI data using KNN-regression with learned local descriptors2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)IEEE, 2016: 743-746.


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