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Publications

From Data to Diagnosis: Skin Cancer Image Datasets for Artificial Intelligence.

Wen D. et al, (2024), Clin Exp Dermatol

Mitigating Machine Learning Bias Between High Income and Low-Middle Income Countries for Enhanced Model Fairness and Generalizability

Yang J. et al, (2024)

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning

YANG J. et al, (2023), Nature Machine Intelligence

Deep Reinforcement Learning for Multi-class Imbalanced Training: Applications in Healthcare

YANG J. et al, (2023), Machine Learning

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening

YANG J. et al, (2023), npj Digital Medicine

A scalable federated learning solution for emergency care using low cost microcomputing: Privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals

Soltan A. et al, (2023), The Lancet. Digital Health

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning

Yang J. et al, (2023), Nature Machine Intelligence

Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals

Soltan AAS. et al, (2023)

An adversarial training framework for mitigating algorithmic biases in clinical machine learning

Yang J. et al, (2023), npj Digital Medicine, 6

Addressing Label Noise for Electronic Health Records: Insights from Computer Vision for Tabular Data

Yang J. et al, (2023)

Generalizability Assessment of AI Models Across Hospitals: A Comparative Study in Low-Middle Income and High Income Countries

Yang J. et al, (2023)

Geometrically-aggregated training samples: Leveraging summary statistics to enable healthcare data democratization

Yang J. et al, (2023)

Privacy-aware Early Detection of COVID-19 through Adversarial Training

ROHANIAN M. et al, (2023), IEEE journal of biomedical and health informatics

Deep Reinforcement Learning for Multi-class Imbalanced Training

Yang J. et al, (2022)

Privacy-aware Early Detection of COVID-19 through Adversarial Training

Rohanian O. et al, (2022)

Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: A New Utility for Deep Reinforcement Learning

Yang J. et al, (2022)