Baker, Stephanie, and Kandasamy, Yogavijayan (2022) Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review. Pediatric Research. (In Press)

Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2022) A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms. Knowledge Based Systems. (In Press)

Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2021) Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks. PLoS ONE, 16 (4). e0249843.

Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2021) Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates. Computers in Biology and Medicine, 134. 104521.

Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2021) A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms. Computer Methods and Programs in Biomedicine, 207. 106191.

Baker, Stephanie (2021) Development of machine learning schemes for use in non-invasive and continuous patient health monitoring. PhD thesis, James Cook University.

Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2020) Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach. Scientific Reports, 10. 21282.

Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2017) Internet of Things for smart healthcare: technologies, challenges, and opportunities. IEEE Access, 5. pp. 26521-26544.