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巩立鑫

博士后

教育经历

2018.09-2023.04 东北大学(中科院自动化研究所联培),生物医学工程,博士。

2016.09-2018.06 东北大学,生物医学工程,硕士。

2011.09-2015.06 济南大学,电气工程及其自动化(辅修:英语),学士。


研究方向

1. 医学图像处理与分析

2. 早期胃癌辅助诊断


代表性文章

1. Gong Lixin, et al., Automatic captioning of early gastric cancer via magnification endoscopy with narrow band imaging. Gastrointestinal Endoscopy, 2022, 96(6): 929-942. (中科院一区TOP,IF: 10.396)

2. Hu H#, Gong Lixin#, et al., Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study, Gastrointestinal Endoscopy, 2021, 93(6): 1333-1341. (中科院一区TOP,IF: 10.396)

3. Gong Lixin, Xu M, Fang M, et al., The potential of prostate gland radiomic features in identifying the Gleason score. Computers in Biology and Medicine, 2022, 144: 105. (中科院二区,IF: 6.698)

4. Gong Lixin#, Xu M#, et al., Noninvasive prediction of high-grade prostate cancer via biparametric MRI radiomics. Journal of Magnetic Resonance Imaging, 2020, 52(4): 1102-1109. (中科院二区,IF: 5.119)

5. Gong Lixin, Zhou P, et al., Low-shot early gastric cancer diagnostic model driven by unsupervised features, The IEEE International Symposium on Biomedical Imaging (ISBI), 2022, 28-31 March. (EI检索)

6. Cao R#, Gong Lixin# (共一), et al., Pathological diagnosis and prognosis of gastric cancer through a multi-instance learning method. EbioMedicine, 2021, 73: 103671. (中科院一区TOP,IF: 11.205)

7. Zhu Y#, Man C#, Gong Lixin# (共一), et al., A deep learning radiomics model for preoperative grading in meningioma. European journal of radiology, 2019, 116: 128-134. (中科院二区,IF: 4.531)

8. Dong D#, Tang Z#, Wang S#, Hui H#, Gong Lixin# , et al., The role of imaging in the detection and management of COVID-19: a review. IEEE Reviews in Biomedical Engineering. 2021, 14:16-29.(SCI, IF: 7.073)

9. 董迪#, 巩立鑫#, 王坤, 等. 影像组学的临床应用[J]. 中国科学基金, 2021, 35(1):85-91. (CSSCI)

10. Cui X#, Wei R#, Gong Lixin, et al., Assessing the effectiveness of artificial intelligence methods for melanoma: A retrospective review. JAAD, 2019, 81(5):1176-1180. (中科院一区TOP,IF: 11.527)

11. 巩立鑫, 等. 基于AI和医疗大数据的影像组学研究及其临床应用[J]. 中华医学信息导报, 2019, 34(22):22.