KGZNet: Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification. - Kun Wang 021; Xiaohong Zhang 002; Sheng Huang 001 (BIBM, 2019)

Automatic Detection of Pneumonia in Chest X-Ray Images Using Cooperative Convolutional Neural Networks. - Kun Wang 021; Xiaohong Zhang 002; Sheng Huang 001; Feiyu Chen 002 (PRCV (2), 2019)

Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification. - Weixin Xu 002; Kun Wang 021; Jingkai Lin; Yuting Lu; Sheng Huang 001; Xiaohong Zhang 002 (ICIP, 2020)

MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation. - Wei Chen 090; Qiuli Wang 001; Kun Wang 021; Dan Yang 001; Xiaohong Zhang 002; Chen Liu 026; Yucong Li (ICPR, 2020)

CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision Network. - Kun Wang 021; Xiaohong Zhang 002; Sheng Huang 001; Qiuli Wang 001; Feiyu Chen 002 (ISBI, 2020)

Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features. - Qiuli Wang 001; Xingpeng Zhang; Wei Chen 090; Kun Wang 021; Xiaohong Zhang 002 (MICCAI (6), 2020)

Automatic Extraction of Blur Regions on a Single Image Based on Semantic Segmentation. - Aodong Shen; Han Dong; Kun Wang 021; Youyong Kong; Jiasong Wu; Huazhong Shu (IEEE Access, 2020)

Learning to Recognize Thoracic Disease in Chest X-Rays With Knowledge-Guided Deep Zoom Neural Networks. - Kun Wang 021; Xiaohong Zhang 002; Sheng Huang 001; Feiyu Chen 002; Xiangbo Zhang; Luwen Huangfu (IEEE Access, 2020)

Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection. - Jingqin Li; Kun Wang 021; Dan Yang 001; Xiaohong Zhang 002; Chen Liu 026 (ICASSP, 2021)

Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks. - Xiangbo Zhang; Kun Wang 021; Xiaohong Zhang 002; Sheng Huang 001 (PRICAI (1), 2021)

Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules. - Kun Wang 021; Xiangbo Zhang; Xiaohong Zhang 002; Sheng Huang 001; Jingqin Li; Luwen Huangfu (Biomed. Signal Process. Control., 2021)

PixelSeg: Pixel-by-Pixel Stochastic Semantic Segmentation for Ambiguous Medical Images. - Wei Zhang; Xiaohong Zhang 002; Sheng Huang 001; Yuting Lu; Kun Wang 021 (ACM Multimedia, 2022)

A Probabilistic Model for Controlling Diversity and Accuracy of Ambiguous Medical Image Segmentation. - Wei Zhang; Xiaohong Zhang 002; Sheng Huang 001; Yuting Lu; Kun Wang 021 (ACM Multimedia, 2022)

CGRNet: Contour-guided graph reasoning network for ambiguous biomedical image segmentation. - Kun Wang 021; Xiaohong Zhang 002; Yuting Lu; Xiangbo Zhang; Wei Zhang (Biomed. Signal Process. Control., 2022)

EANet: Iterative edge attention network for medical image segmentation. - Kun Wang 021; Xiaohong Zhang 002; Xiangbo Zhang; Yuting Lu; Sheng Huang 001; Dan Yang 001 (Pattern Recognit., 2022)

Learning contextual representations with copula function for medical image segmentation. - Yuting Lu; Kun Wang 021; Wei Zhang; Jin Xie 005; Sheng Huang 001; Dan Yang 001; Xiaohong Zhang 002 (Biomed. Signal Process. Control., 2023)

GSAL: Geometric structure adversarial learning for robust medical image segmentation. - Kun Wang 021; Xiaohong Zhang 002; Yuting Lu; Wei Zhang; Sheng Huang 001; Dan Yang 001 (Pattern Recognit., 2023)

Artifact suppression for sparse view CT via transformer-based generative adversarial network. - Tingyu Zhang; Jin Liu 019; Fan Wu; Kun Wang 021; Subin Huang; Yikun Zhang 001 (Biomed. Signal Process. Control., 2024)

Deep convolutional dictionary learning network for sparse view CT reconstruction with a group sparse prior. - Yanqin Kang; Jin Liu 019; Fan Wu; Kun Wang 021; Jun Qiang; Dianlin Hu; Yikun Zhang 001 (Comput. Methods Programs Biomed., 2024)

GAML: Geometry-Aware Mutual Learning for polyp segmentation. - Kun Wang 021; Yuting Lu; Jin Liu 019; Xiaohong Zhang 002 (Biomed. Signal Process. Control., 2025)

DECT sparse reconstruction based on hybrid spectrum data generative diffusion model. - Jin Liu 019; Fan Wu; Guorui Zhan; Kun Wang 021; Yikun Zhang 001; Dianlin Hu; Yang Chen 008 (Comput. Methods Programs Biomed., 2025)

LWCDNet: An Interpretable Learning Weighted Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. - Jin Liu 019; Tong Jin; Zihao Ye; Fan Wu; Kun Wang 021; Zhan Wu; Yikun Zhang 001; Dianlin Hu; Yang Chen 008 (IEEE Trans. Instrum. Meas., 2025)