Lidan Fu

According to our database, Lidan Fu authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging.

Lidan Fu, Lingbing Li, Binchun Lu, Xiaoyong Guo, Xiaojing Shi, Jie Tian, Zhenhua Hu

Comput. Medical Imaging Graph., 2025

XAI-PSSGAN: Perception-Enhanced Spectrum Shift Generative Adversarial Network with Explainable AI System for NIR-II Fluorescence Molecular Imaging.

Lidan Fu, Binchun Lu, Lingbing Li, Xiaojing Shi, Jie Tian, Zhenhua Hu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

SWISTA-Nets: Subband-adaptive wavelet iterative shrinkage thresholding networks for image reconstruction.

Binchun Lu, Lidan Fu, Yixuan Pan, Yonggui Dong

Comput. Medical Imaging Graph., 2024

2023

PSSGAN: Towards spectrum shift based perceptual quality enhancement for fluorescence imaging.

Lidan Fu, Binchun Lu, Jie Tian, Zhenhua Hu

Comput. Medical Imaging Graph., 2023

2021

Recognizing lung cancer and stages using a self-developed electronic nose system.

Ke Chen, Lei Liu, Bo Nie, Binchun Lu, Lidan Fu, Zichun He, Wang Li, Xitian Pi, Hongying Liu

Comput. Biol. Medicine, 2021

2020

Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals.

Lidan Fu, Binchun Lu, Bo Nie, Zhiyun Peng, Hongying Liu, Xitian Pi

Sensors, 2020

Modulation Characteristics of Coherent Motion Field for the Moving Vehicles.

Danping Liu, Hao Chen, Song Liu, Lidan Fu, Binchun Lu, Meng Lin, Jiaxuan Chen, Wen Li

Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

2019

A Novel Framework with High Diagnostic Sensitivity for Lung Cancer Detection by Electronic Nose.

Binchun Lu, Lidan Fu, Bo Nie, Zhiyun Peng, Hongying Liu

Sensors, 2019