MTSegNet: Semi-supervised Abdominal Organ Segmentation in CT. - Shiman Li; Siqi Yin; Chenxi Zhang 004; Manning Wang; Zhijian Song (FLARE@MICCAI, 2022)

TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning. - Linhao Qu; Shaolei Liu; Manning Wang; Shiman Li; Siqi Yin; Qin Qiao; Zhijian Song (CoRR, 2022)

Cold-start active learning for image classification. - Qiuye Jin; Mingzhi Yuan; Shiman Li; Haoran Wang 009; Manning Wang; Zhijian Song (Inf. Sci., 2022)

Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation. - Shiman Li; Haoran Wang; Yucong Meng; Chenxi Zhang; Zhijian Song (CoRR, 2023)

A comprehensive survey on deep active learning and its applications in medical image analysis. - Haoran Wang 009; Qiuye Jin; Shiman Li; Siyu Liu; Manning Wang; Zhijian Song (CoRR, 2023)

Density-based one-shot active learning for image segmentation. - Qiuye Jin; Shiman Li; Xiaofei Du 002; Mingzhi Yuan; Manning Wang; Zhijian Song (Eng. Appl. Artif. Intell., 2023)

MCSD: An Efficient Language Model with Diverse Fusion. - Hua Yang; Duohai Li; Shiman Li (CoRR, 2024)

SP3: Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation. - Shiman Li; Jiayue Zhao; Shaolei Liu; Xiaokun Dai; Chenxi Zhang 004; Zhijian Song (CoRR, 2024)

A comprehensive survey on deep active learning in medical image analysis. - Haoran Wang 009; Qiuye Jin; Shiman Li; Siyu Liu; Manning Wang; Zhijian Song (Medical Image Anal., 2024)

Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks. - Linhao Qu; Shaolei Liu; Manning Wang; Shiman Li; Siqi Yin; Zhijian Song (Expert Syst. Appl., 2024)

Unsupervised diffusion based anomaly detection for time series. - Haiwei Zuo; Aiqun Zhu; Yanping Zhu; Yinping Liao; Shiman Li; Yun Chen (Appl. Intell., 2024)

Mixture-of-experts and semantic-guided network for brain tumor segmentation with missing MRI modalities. - Siyu Liu; Haoran Wang; Shiman Li; Chenxi Zhang 004 (Medical Biol. Eng. Comput., 2024)

Evaluation of uncertainty estimation methods in medical image segmentation: Exploring the usage of uncertainty in clinical deployment. - Shiman Li; Mingzhi Yuan; Xiaokun Dai; Chenxi Zhang 004 (Comput. Medical Imaging Graph., 2025)

Bridging the Modality Gap in Multimodal Eye Disease Screening: Learning Modality Shared-Specific Features via Multi-Level Regularization. - Jiayue Zhao; Shiman Li; Yi Hao; Chenxi Zhang 004 (IEEE Signal Process. Lett., 2025)

Enhancing Motion Reconstruction From Sparse Tracking Inputs With Kinematic Constraints. - Xiaokun Dai; Xinkang Zhang; Shiman Li; Xinrong Chen (IEEE Trans Autom. Sci. Eng., 2025)

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision. - Linhao Qu; Shiman Li; Xiaoyuan Luo; Shaolei Liu; Qinhao Guo; Manning Wang; Zhijian Song (CoRR, 2025)