| Internet of things for smart healthcare: Technologies, challenges, and opportunities SB Baker, W Xiang, I Atkinson Ieee Access 5, 26521-26544, 2017 | 1322 | 2017 |
| Artificial intelligence of things for smarter healthcare: a survey of advancements, challenges, and opportunities S Baker, W Xiang IEEE Communications Surveys & Tutorials 25 (2), 1261-1293, 2023 | 89 | 2023 |
| A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms S Baker, W Xiang, I Atkinson Computer Methods and Programs in Biomedicine 207, 106191, 2021 | 83 | 2021 |
| The 2023 wearable photoplethysmography roadmap PH Charlton, J Allen, R Bailón, S Baker, JA Behar, F Chen, GD Clifford, ... Physiological measurement 44 (11), 111001, 2023 | 67 | 2023 |
| Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach S Baker, W Xiang, I Atkinson Scientific Reports 10 (1), 21282, 2020 | 43 | 2020 |
| A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms S Baker, W Xiang, I Atkinson Knowledge-Based Systems 250, 109151, 2022 | 29 | 2022 |
| Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review S Baker, Y Kandasamy Pediatric Research 93 (2), 293-299, 2023 | 24 | 2023 |
| Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks S Baker, W Xiang, I Atkinson Plos one 16 (4), e0249843, 2021 | 23 | 2021 |
| Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates S Baker, W Xiang, I Atkinson Computers in Biology and Medicine 134, 104521, 2021 | 19 | 2021 |
| Explainable ai is responsible ai: How explainability creates trustworthy and socially responsible artificial intelligence S Baker, W Xiang arXiv preprint arXiv:2312.01555, 2023 | 9 | 2023 |
| Lightweight neural network for spatiotemporal filling of data gaps in sea surface temperature images S Baker, Z Huang, B Philippa IEEE Transactions on Geoscience and Remote Sensing 61, 1-10, 2023 | 7 | 2023 |
| Towards non-invasive and continuous blood pressure monitoring in neonatal intensive care using artificial intelligence: a narrative review S Baker, T Yogavijayan, Y Kandasamy Healthcare 11 (24), 3107, 2023 | 3 | 2023 |
| An Exploratory Review on the Potential of Artificial Intelligence for Early Detection of Acute Kidney Injury in Preterm Neonates Y Kandasamy, S Baker Diagnostics 13 (18), 2865, 2023 | 2 | 2023 |
| Explainability and Responsibility: Developing Trustworthy Artificial Intelligence Models S Baker 2023 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-1, 2023 | 1 | 2023 |
| Factors that influence the implementation of digital health in rural, regional, and remote Australia: Protocol for an overview of reviews MA Krahe, S Baker, L Woods, SL Larkins medRxiv, 2024.11. 13.24317285, 2024 | | 2024 |
| Analysis of In-Home Movement Patterns for Depression Assessment in Older Adults–A Feasibility Study M Dennis, D Prabhu, S Baker, D Silvera-Tawil Health. Innovation. Community: It Starts With Us, 144-149, 2024 | | 2024 |
| Development of machine learning schemes for use in non-invasive and continuous patient health monitoring S Baker James Cook University, 2021 | | 2021 |
Wei XiangCisco Chair Professor of AI and Internet of Things, La Trobe UniversityEmail verificata su latrobe.edu.au
