LKDA-GAN: Cross-modality image synthesis via Generative Adversarial Network aggregating large kernel decomposable attention bottleneck block. - Haiyan Li; Yongqiang Han; Lei Guo; Mingchuan Tan; Liping Zhou (Comput. Vis. Image Underst., 2023)

MADMFuse: A multi-attribute diffusion model to fuse infrared and visible images. - Hang Xu; Rencan Nie; Jinde Cao; Mingchuan Tan; Zhengze Ding (Digit. Signal Process., 2024)

CTHD-Net: CNN-Transformer hybrid dehazing network via residual global attention and gated boosting strategy. - Haiyan Li; Renchao Qiao; Pengfei Yu; Haijiang Li; Mingchuan Tan (J. Vis. Commun. Image Represent., 2024)

A nested self-supervised learning framework for 3-D semantic segmentation-driven multi-modal medical image fusion. - Ying Zhang 005; Rencan Nie; Jinde Cao; Chaozhen Ma; Mingchuan Tan (Biomed. Signal Process. Control., 2025)

Cross-modal generalizable medical image segmentation with dual-domain deformable transformer and multitask adaptation. - Jie Cai; Haiyan Li; Mingchuan Tan; Bingbing He; Wenbing Lv; Hongsong Li (Expert Syst. Appl., 2025)

SCDFuse: A semantic complementary distillation framework for joint infrared and visible image fusion and denoising. - Shidong Xie; Haiyan Li; Yongsheng Zang; Jinde Cao; Dongming Zhou; Mingchuan Tan; Zhaisheng Ding; Guanbo Wang (Knowl. Based Syst., 2025)

SMDFusion: A Self-Supervised Fusion for Infrared and Visible Images via Cross-Modal Random Noise Masked Encoding and Difference Perception. - Mingchuan Tan; Rencan Nie; Jinde Cao; Ying Zhang 005 (IEEE Trans. Consumer Electron., 2025)