A Total Variation With Joint Norms For Infrared and Visible Image Fusion. - Rencan Nie; Chaozhen Ma; Jinde Cao; Hongwei Ding; Dongming Zhou (IEEE Trans. Multim., 2022)

MCNN: Conditional focus probability learning to multi-focus image fusion via mutually coupled neural network. - Chengchao Wang; Yuanyuan Pu; Xue Wang 011; Chaozhen Ma; Rencan Nie (IET Image Process., 2023)

A Fractional-Order Variation With a Novel Norm to Fuse Infrared and Visible Images. - Chaozhen Ma; Rencan Nie; Hongwei Ding; Jinde Cao; Jiatian Mei (IEEE Trans. Instrum. Meas., 2023)

Self-Supervised Fusion for Multi-Modal Medical Images via Contrastive Auto-Encoding and Convolutional Information Exchange. - Ying Zhang 005; Rencan Nie; Jinde Cao; Chaozhen Ma (IEEE Comput. Intell. Mag., 2023)

SS-SSAN: a self-supervised subspace attentional network for multi-modal medical image fusion. - Ying Zhang 005; Rencan Nie; Jinde Cao; Chaozhen Ma; Chengchao Wang (Artif. Intell. Rev., 2023)

A multi-directional fractional-order variation with luminance term for infrared and visible image fusion. - Chaozhen Ma; Hongwei Ding; Rencan Nie; Ying Zhang 005; Jinde Cao (Digit. Signal Process., 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)

MMCL: Meta-mutual contrastive learning for multi-modal medical image fusion. - Ying Zhang; Chaozhen Ma; Hongwei Ding; Yuanjing Zhu (Digit. Signal Process., 2025)