Published in BioMedInformatics, 2023
Recommended citation: McNaughton, J., Holdsworth, S., Chong, B., Fernandez, J., Shim, V., & Wang, A. (2023). Synthetic MRI Generation from CT Scans for Stroke Patients. BioMedInformatics, 3(3), 50. https://doi.org/10.3390/biomedinformatics3030050
Published in Bioengineering, 2023
Recommended citation: McNaughton, J., Fernandez, J., Holdsworth, S., Chong, B., Shim, V., & Wang, A. (2023). Machine Learning for Medical Image Translation: A Systematic Review. Bioengineering, 10(9), 1078. https://doi.org/10.3390/bioengineering10091078
Published in 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Machine Learning and the Physical Sciences., 2025
Recommended citation: McNaughton, J., & Hibat‑Allah, M. (2025). Adaptive neural quantum states: A recurrent neural network perspective. In Proceedings of the Machine Learning and the Physical Sciences Workshop at NeurIPS 2025.
Recommended citation: McNaughton, J., & Hibat‑Allah, M. (2025). Adaptive Neural Quantum States: A Recurrent Neural Network Perspective. arXiv. https://doi.org/10.48550/arXiv.2507.18700
Recommended citation: McNaughton, J., Abbas, A. H., & Maksymov, I. S. (2025). Full‑Precision and Ternarised Neural Networks with Tunnel‑Diode Activation Functions: Computing and Physics Perspectives. arXiv. https://doi.org/10.48550/arXiv.2503.04978
Recommended citation: Pogrebna, G., Paul, R., Damaj, N., McNaughton, J., Stacey, G., & Omoijiade, I.-M. (2025). Technological complexity and risk reduction: Using digital twins to navigate uncertainty in nuclear weapons decision-making and EDT landscapes (Policy Brief). European Leadership Network.