Shuai Liu

ORCID: 0000-0003-4336-2776
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Gastrointestinal Bleeding Diagnosis and Treatment
  • AI in cancer detection
  • Cellular transport and secretion
  • Genetics, Aging, and Longevity in Model Organisms
  • Fashion and Cultural Textiles
  • Retinal Development and Disorders
  • Radiomics and Machine Learning in Medical Imaging
  • Inflammasome and immune disorders
  • Inflammation biomarkers and pathways
  • Neuroinflammation and Neurodegeneration Mechanisms
  • COVID-19 diagnosis using AI
  • Digital Media and Visual Art
  • Bone and Joint Diseases
  • Public Spaces through Art

Huazhong University of Science and Technology
2018-2024

Tongji Hospital
2022

Abstract Background Demyelinating diseases in central nervous system (CNS) are a group of characterized by myelin damage or loss. Transforming growth factor beta1 (TGF-β1) is widely recognized as an anti-inflammatory cytokine, which can be produced both glial and neuronal cells CNS. However, the effects TGF-β1 on demyelinating its underlying mechanisms have not been well investigated. Methods A mouse model using two-point injection lysophosphatidylcholine (LPC) to corpus callosum vivo was...

10.1186/s12974-022-02557-0 article EN cc-by Journal of Neuroinflammation 2022-07-28

The Magnetically Controlled Capsule Endoscopy (MCCE) has a limited shooting range, resulting in capturing numerous fragmented images and an inability to precisely locate examine the region of interest (ROI) as traditional endoscopy can. Addressing this issue, image stitching around ROI can be employed aid diagnosis gastrointestinal (GI) tract conditions. However, MCCE possess unique characteristics, such weak texture, close-up shooting, large angle rotation, presenting challenges current...

10.1109/tbme.2024.3462502 article EN IEEE Transactions on Biomedical Engineering 2024-01-01

The deep neural networks are envisaged for the early disease diagnosis from medical images. However, in stage of disease, images patients and healthy people have only subtle visual differences. Distinguishing belongs to Fine-Grained Visual Classification (FGVC) task. Many recent works based on a standard FGVC learning paradigm: locate discriminative regions first then classify by fusing information these regions. it is still not enough Because shape size lesions variable, relationship...

10.1109/tcbb.2023.3260108 article EN IEEE/ACM Transactions on Computational Biology and Bioinformatics 2023-03-21

This study attempts to analyze the social and cultural meanings of ethnic groups which different types shamans belong in Siberia from appearance characteristics terms clothing through Roland Barthes’s semiotic theory. The research method here is three shaman costume classified by Holmberg, are bird-type, deer-type, bear-type, theoretical investigate analysis process semiotics approach presents an model that can explore sociocultural meaning Siberian costume. results as follows. In first...

10.29049/rjcc.2020.28.6.858 article EN The Research Journal of the Costume Culture 2020-12-30

Early diagnosis of osteonecrosis the femoral head (ONFH) can inhibit progression and improve preservation. The radiograph difference between early ONFH healthy ones is not apparent to naked eye. It also hard produce a large dataset train classification model. In this paper, we propose Asymmetric-Sensitive Transformer (AsT) capture uneven development bilateral enable robust detection. Our detection realized using self-attention mechanism regions while conferring sensitivity by...

10.1609/aaai.v37i13.26953 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2023-06-26
Coming Soon ...