| Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study JCY Seah, CHM Tang, QD Buchlak, XG Holt, JB Wardman, A Aimoldin, ... The Lancet Digital Health 3 (8), e496-e506, 2021 | 132 | 2021 |
| Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning J Allworth, L Windrim, J Wardman, D Kucharski, J Bennett, M Bryson arXiv preprint arXiv:2004.12270, 2020 | 13 | 2020 |
| An Australian Conjunction Assessment Service JCS Bennett, M Lachut, D Kooymans, A Pollard, C Smith, S Flegel, ... | 4 | 2019 |
| Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification CHM Tang, JCY Seah, HK Ahmad, MR Milne, JB Wardman, QD Buchlak, ... Diagnostics 13 (14), 2317, 2023 | 2 | 2023 |
| Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy QD Buchlak, CHM Tang, JCY Seah, A Johnson, X Holt, GM Bottrell, ... European Radiology, 1-13, 2023 | 1 | 2023 |
| Effects of a comprehensive brain computed tomography deep-learning model on radiologist detection accuracy: a multireader, multicase study Q Buchlak, C Tang, J Seah, A Johnson, X Holt, G Bottrell, J Wardman, ... | | 2022 |
| Photometric Analysis of Rotating Rocket Bodies through Ground-Based Optical Observations J Allworth, M Bryson, L Windrim, J Bennett, J Wardman 43rd COSPAR Scientific Assembly. Held 28 January-4 February 43, 2194, 2021 | | 2021 |
