Luhong Jin

According to our database, Luhong Jin authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Interpretable deep learning enables reliable and label-efficient fluorescence imaging.

Mingyang Chen, Luhong Jin, Xuwei Xuan, Defu Yang, Yun Cheng, Ju Zhang

Pattern Recognit., 2026

UniMedX: A Unified Kolmogorov-Arnold Theory Guided Framework for Interpretable Medical Image Classification and Segmentation.

Ju Zhang, Mingyang Chen, Xuwei Xuan, Luhong Jin, Yun Cheng

Knowl. Based Syst., 2026

2025

Prior Visual-Guided Self-Supervised Learning Enables Color Vignetting Correction for High-Throughput Microscopic Imaging.

Jianhang Wang, Tianyu Ma, Luhong Jin, Yunqi Zhu, Jiahui Yu, Feng Chen, Shujun Fu, Yingke Xu

IEEE J. Biomed. Health Informatics, April, 2025

Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy.

Mingyang Chen, Luhong Jin, Xuwei Xuan, Defu Yang, Yun Cheng, Ju Zhang

CoRR, January, 2025

IKANet: A Kolmogorov-Arnold Network for Interpretable Medical Image Segmentation.

Mingyang Chen, Ju Zhang, Luhong Jin, Xuwei Xuan, Yun Cheng

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

2021

A survey on applications of deep learning in microscopy image analysis.

Zhichao Liu, Luhong Jin, Jincheng Chen, Qiuyu Fang, Sergey Ablameyko, Zhaozheng Yin, Yingke Xu

Comput. Biol. Medicine, 2021