Xiang Li

Orcid: 0000-0003-2374-7708

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

MwoA auxiliary diagnosis using 3D convolutional neural network.
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


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