Chen, Ting

A simple framework for contrastive learning of visual representations

Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 10,857

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

Big Self-Supervised Models Advance Medical Image Classification

Azizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., et al. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 685

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

Integrative data analysis of multi-platform cancer data with a multimodal deep learning approach

Liang, M., Li, Z., Chen, T., & Zeng, J. (2015) · IEEE/ACM Transactions on Computational Biology and Bioinformatics

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 231

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

Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study

Gu, J., Shi, Y., Zhu, Y., Chen, N., Wang, H., Zhang, Z., & Chen, T. (2020) · PLOS Medicine

Air Quality and Health ImpactsClimate Change and Health Impacts

Cited by 184

RareBench: Can LLMs Serve as Rare Diseases Specialists?

Chen, X., Mao, X., Guo, Q., Wang, L., Zhang, S., & Chen, T. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 41

Targeting inflammation and gut microbiota with antibacterial therapy: implications for central nervous system health

Wei, J., Liu, C., Qin, D., Ren, F., Duan, J., Chen, T., & Wu, A. (2024) · Ageing Research Reviews

Gut microbiota and healthGastrointestinal motility and disorders

Cited by 15

DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data

Feng, Y., Xu, Z., Gan, L., Chen, N., Yu, B., Chen, T., & Wang, F. (2019) · 2019 IEEE International Conference on Data Mining (ICDM)

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 15

Escaping the drug-bias trap: using debiasing design to improve interpretability and generalization of drug-target interaction prediction

Zhang, P.-D., Ma, J., & Chen, T. (2024) · IEEE Transactions on Computational Biology and Bioinformatics

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 13

Escaping the Drug-Bias Trap: Using Debiasing Design to Improve Interpretability and Generalization of Drug-Target Interaction Prediction

Zhang, P., Ma, J., & Chen, T. (2025) · IEEE Transactions on Computational Biology and Bioinformatics

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 13

DC-SIGN+ macrophages alleviate metabolic dysfunction-associated steatotic liver disease via fine-tuning TLR4 signaling and inflammatory secretory profiles

Liu, J., Wu, H., Zhou, L., Jin, Q., Ji, H., Hu, B., Wu, H., Chen, T., Wang, X., Hong, J., et al. (2026) · Metabolism

Liver Disease Diagnosis and TreatmentImmune Response and Inflammation

Cited by 7

How Robust is Your Automatic Diagnosis Model?

Wang, K., Wang, G., Chen, N., & Chen, T. (2019) · 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Adversarial Robustness in Machine LearningMachine Learning in Healthcare

Cited by 3