| 2024 |
Thwaites, S., Abrahams, J., Thewlis, D., & Rickman, M. (2024). The absence of reporting standards and a lack of objective, performance-based outcomes following intramedullary nailing of tibial shaft fractures: findings from a scoping review into 179 articles. European Journal of Trauma and Emergency Surgery, 50(1), 59-70.
DOI Scopus2 WoS3 Europe PMC3 |
| 2023 |
Duncanson, K. A., Thwaites, S., Booth, D., Hanly, G., Abbasnejad, E., Robertson, W. S. P., & Thewlis, D. (2023). Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data. Sensors, 23(7), 3392.
DOI Scopus17 WoS10 Europe PMC5 |
| 2023 |
Thwaites, S., Abrahams, J., Thewlis, D., & Rickman, M. (2023). Publisher Correction: The absence of reporting standards and a lack of objective, performance-based outcomes following intramedullary nailing of tibial shaft fractures: findings from a scoping review into 179 articles.. European journal of trauma and emergency surgery : official publication of the European Trauma Society, 50(2), 619.
DOI WoS1 |
| 2022 |
Almaghrabi, S. A., Thewlis, D., Thwaites, S., Rogasch, N. C., Lau, S., Clark, S. R., & Baumert, M. (2022). The reproducibility of bio-acoustic features is associated with sample duration, speech task and gender. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 1-9.
DOI Scopus15 WoS12 Europe PMC4 |
| 2022 |
Thwaites, S., Thewlis, D., Hall, K., & Rickman, M. (2022). Investigating and defining outcomes of suprapatellar versus infrapatellar intramedullary nailing of tibial shaft fractures: a protocol for a pilot randomised controlled trial. Pilot and Feasibility Studies, 8(1), 110-1-110-13.
DOI Scopus5 WoS5 Europe PMC6 |
| 2022 |
Thwaites, S., Thewlis, D., & Rickman, M. S. (2022). Visualising Knee Loading Patterns During Kneeling and the Development of a Laboratory-Based Adaptation of the Aberdeen Weight-Bearing Test (Knee). The Knee, 38, 201-211.
DOI Scopus1 |
| 2019 |
Yeomans, J., Thwaites, S., Robertson, W. S. P., Booth, D., Ng, B., & Thewlis, D. (2019). Simulating time-series data for improved deep neural network performance. IEEE Access, 7, 131248-131255.
DOI Scopus28 WoS18 |
