Shiman Li

According to our database, Shiman Li authored at least 16 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, April, 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

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

IEEE Signal Process. Lett., 2025

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

Comput. Medical Imaging Graph., 2025

2024

Mixture-of-experts and semantic-guided network for brain tumor segmentation with missing MRI modalities.

Siyu Liu, Haoran Wang, Shiman Li, Chenxi Zhang

Medical Biol. Eng. Comput., October, 2024

Unsupervised diffusion based anomaly detection for time series.

Haiwei Zuo, Aiqun Zhu, Yanping Zhu, Yinping Liao, Shiman Li, Yun Chen

Appl. Intell., October, 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., February, 2024

A comprehensive survey on deep active learning in medical image analysis.

Haoran Wang, Qiuye Jin, Shiman Li, Siyu Liu, Manning Wang, Zhijian Song

Medical Image Anal., 2024

SP³: Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation.

Shiman Li, Jiayue Zhao, Shaolei Liu, Xiaokun Dai, Chenxi Zhang, Zhijian Song

CoRR, 2024

MCSD: An Efficient Language Model with Diverse Fusion.

Hua Yang, Duohai Li, Shiman Li

CoRR, 2024

2023

Density-based one-shot active learning for image segmentation.

Qiuye Jin, Shiman Li, Xiaofei Du, Mingzhi Yuan, Manning Wang, Zhijian Song

Eng. Appl. Artif. Intell., November, 2023

A comprehensive survey on deep active learning and its applications in medical image analysis.

Haoran Wang, Qiuye Jin, Shiman Li, Siyu Liu, Manning Wang, Zhijian Song

CoRR, 2023

Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation.

Shiman Li, Haoran Wang, Yucong Meng, Chenxi Zhang, Zhijian Song

CoRR, 2023

2022

Cold-start active learning for image classification.

Qiuye Jin, Mingzhi Yuan, Shiman Li, Haoran Wang, Manning Wang, Zhijian Song

Inf. Sci., 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

MTSegNet: Semi-supervised Abdominal Organ Segmentation in CT.

Shiman Li, Siqi Yin, Chenxi Zhang, Manning Wang, Zhijian Song

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022