Li Jun

Li Jun

Educational experience

Undergraduate 2016/09/01 - 2020/06/05 Fujian Normal University

Master 2020/09/22 - 2023/06/15 Fujian Agriculture and Forestry University

PhD 2023/09/10 - Present Nanjing University of Information Science & Technology

Skills

Python, Matlab, C, C++, Java and other computer languages

research project

Use machine learning methods to conduct research on fundus blood vessels, abdominal organs, and heart disease diagnosis, such as fundus blood vessel segmentation, abdominal organ segmentation, heart organ segmentation, and other related research

Paper results

[1] Jun Li , Nan Chen, Lifang Wei*, et al. MCRformer: Morphological Constraint Reticular Transformer for 3D Medical Image Segmentation[J]. Expert Systems with Applications (2023): 120877.

[2] Jun Li , Ting Zhang, Lifang Wei*, et al. MC-UNet: Multimodule Concatenation Based on U-Shape Network for Retinal Blood Vessels Segmentation[J]. Computational Intelligence and Neuroscience , vol. 2022, Article ID 9917691, 10 pages, 2022. https://doi.org/10.1155/2022/9917691

[3] Li Jun, Ye Xinyi, Wei Lifang, et al. Three-dimensional medical image segmentation method based on joint deep network and morphological structure constraints [J]. Chinese Journal of Biomedical Engineering, 2023, 42(01): 30-40.

[4] Ting Zhang, Lifang Wei*, Nan Chen, Jun Li . Learning based multi-scale feature fusion for retinal blood vessels segmentation[J]. Journal of Algorithms & Computational Technology , 16 (2022). https://doi.org/10.1177/17483026211065369

[5] Nan Chen, Yi Zhao, Jun Li , et al. The U-NET Via Batch Norm Model for Optic Disc Extraction and Segmentation in Retinal Image[C]. In Proceedings of the 8th International Conference on Computing and Artificial Intelligence (ICCAI ‘22), pp. 511-514. 2022. https://doi.org/10.1145/3532213.353229

Translated from the original Chinese source.

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