Xiang Li
Orcid: 0000-0003-2374-7708Affiliations:
- Shandong University of Traditional Chinese Medicine, First Clinical Medical College, Jinan, China
- Shandong University of Traditional Chinese Medicine, Center for Medical Artificial Intelligence, Qingdao, China
According to our database1,
Xiang Li authored at least 11 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
SFE-CA: omni feature aware modelling integrating coordinate attention and sequential feature enhancement for chinese herbal slices classification.
Multim. Syst., August, 2026
Syndrome differentiation of Traditional Chinese Medicine via multiple knowledge enhancement with Kolmogorov-Arnold Theorem.
Artif. Intell. Medicine, 2026
2025
ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson's disease.
Frontiers Comput. Neurosci., 2025
2024
MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation.
IEEE J. Biomed. Health Informatics, August, 2024
Modeling default mode network patterns via a universal spatio-temporal brain attention skip network.
NeuroImage, February, 2024
2023
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network.
CoRR, 2023
MPANet: Multi-scale Pyramid Attention Network for Collaborative Modeling Spatio-Temporal Patterns of Default Mode Network.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2021
A deep semantic segmentation correction network for multi-model tiny lesion areas detection.
BMC Medical Informatics Decis. Mak., 2021
2020
MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning.
Neurocomputing, 2020
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020
MwoA auxiliary diagnosis via RSN-based 3D deep multiple instance learning with spatial attention mechanism.
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020