A Novel Framework with High Diagnostic Sensitivity for Lung Cancer Detection by Electronic Nose. - Binchun Lu; Lidan Fu; Bo Nie; Zhiyun Peng; Hongying Liu 001 (Sensors, 2019)

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 (ICCPR, 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 001; Xitian Pi (Sensors, 2020)

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 001 (Comput. Biol. Medicine, 2021)

PSSGAN: Towards spectrum shift based perceptual quality enhancement for fluorescence imaging. - Lidan Fu; Binchun Lu; Jie Tian 001; Zhenhua Hu (Comput. Medical Imaging Graph., 2023)

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)

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 001; Zhenhua Hu (ISBI, 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 001; Zhenhua Hu (Comput. Medical Imaging Graph., 2025)