Publications

• Johnston, B. Automated PAP mask sizing: a pathway for future mask designs, PhD thesis (2024) https://hdl.handle.net/2123/32475
• Buchlak, Q.D., Tang, C.H.M., Seah, J.C.Y. et al. Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy. Eur Radiol 34, 810–822 (2024). https://doi.org/10.1007/s00330-023-10074-8
• Quinlan Buchlak, Cyril Tang, Jarrel Seah et al. Effects of a comprehensive brain computed tomography deep-learning model on radiologist detection accuracy: a multireader, multicase study, 05 May 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-1588540/v1]
• Johnston, B.; de Chazal, P. Deriving Ground Truth Labels for Regression Problems Using Annotator Precision. Appl. Sci. 2023, 13, 9130. https://doi.org/10.3390/app13169130
• B. Johnston and P. de Chazal, “A Method for Identifying Ground Truth Labels in Regression Problems using Annotator Precision,” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 2021, pp. 3181-3184, doi: 10.1109/EMBC46164.2021.9629710.
• B. Johnston and P. de Chazal, “Automatic Nasal PAP Mask Sizing with a Deep Unet,” 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 6115-6118, doi: 10.1109/EMBC44109.2020.9176291.
• B. Johnston and P. d. Chazal, “The Effect of Landmark Variability on Automated PAP Mask Sizing,” 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 4129-4132, doi: 10.1109/EMBC.2019.8856336
• B. Johnston and P. de Chazal, “Automatic PAP Mask Sizing with an Error Correcting Autoencoder,” 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 3677-3680, doi: 10.1109/EMBC.2019.8857317.
• Johnston, B., and P. de Chazal. “An automated system for sizing nasal PAP masks using facial photographs.” JOURNAL OF SLEEP RESEARCH. Vol. 28. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2019.
• Johnston, B., Chazal, P. A review of image-based automatic facial landmark identification techniques. J Image Video Proc. 2018, 86 (2018). https://doi.org/10.1186/s13640-018-0324-4
• B. Johnston, A. McEwan and P. de Chazal, “Semi-automated nasal PAP mask sizing using facial photographs,” 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju, Korea (South), 2017, pp. 1214-1217, doi: 10.1109/EMBC.2017.8037049 -B. Johnston, A. McEwan and P. de Chazal, “Semi-automated nasal PAP mask sizing using facial photographs,” 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju, Korea (South), 2017, pp. 1214-1217, doi: 10.1109/EMBC.2017.8037049.
• De Chazal, Philip, Benjamin Johnston, and Alistair McEwan. “Semi-automated nasal PAP mask sizing using facial photographs.” (2017).

Books

SQL For Data Analytics

Applied Unsupervised Learning with Python

Applied Supervised Learning with Python

The Supervised Learning Workshop

Patents

• Custom patient interface and methods for making same
• Methods and systems for providing interface components for respiratory therapy
• Event detection in an implantable auditory prosthesis
• Mark sizing tool using a mobile application
• Hearing prosthesis echo location
• Implantable stimulator with external device
• Methods and systems for providing interface components for respiratory therapy
• System and method to provide dummy data for source attribution for proprietary data transmission
• Systems and methods for determining a health condition on a device local to a respiratory system user
• Data consent storage and management system and method
• Band with built-in stimulator
• Implantable stimulator with external device