Xu, Jie

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

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The practical implementation of artificial intelligence technologies in medicine

He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019) · Nature Medicine

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 2,246

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

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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

Multimodal Emotion Recognition in Deep Learning:a Survey

Gu, X., Shen, Y., & Xu, J. (2021) · 2021 International Conference on Culture-oriented Science & Technology (ICCST)

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 36