Li, Oulan
Guangzhou University · Guangzhou Regenerative Medicine and Health Guangdong Laboratory · Guangzhou Laboratory
4 papers on CoChat
Most cited papers
- Verified
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Kermany, D. S., Goldbaum, M., Cai, W., Valentim, C. C. S., Liang, H., Baxter, S. L., McKeown, A., Yang, G., Wu, X., Yan, F., et al. (2018) · Cell
Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education
Cited by 4,842
- Verified
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
Zhang, K., Liu, X., Shen, J., Li, Z., Sang, Y., Wu, X., Zha, Y., Liang, W., Wang, C., Wang, K., et al. (2020) · Cell
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 917
- Verified
Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images
Zhang, K., Liu, X., Xu, J., Yuan, J., Cai, W., Chen, T., Wang, K., Gao, Y., Nie, S., Xu, X., et al. (2021) · Nature Biomedical Engineering
Retinal Imaging and AnalysisArtificial Intelligence in Healthcare
Cited by 324
- Verified
Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography
Zhang, K., Liu, X., Shen, J., Li, Z., Sang, Y., Wu, X., Zha, Y., Liang, W., Wang, C., Wang, K., et al. (2020) · Cell
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 218
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