| The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review A Vial, D Stirling, M Field, M Ros, C Ritz, M Carolan, L Holloway, AA Miller Translational Cancer Research 7 (3), 2018 | 202 | 2018 |
| Motion capture in robotics review M Field, D Stirling, F Naghdy, Z Pan 2009 IEEE International Conference on Control and Automation, 1697-1702, 2009 | 131 | 2009 |
| Human motion capture sensors and analysis in robotics M Field, Z Pan, D Stirling, F Naghdy Industrial Robot: An International Journal 38 (2), 163-171, 2011 | 60 | 2011 |
| Recognizing human motions through mixture modeling of inertial data M Field, D Stirling, Z Pan, M Ros, F Naghdy Pattern Recognition 48 (8), 2394-2406, 2015 | 56 | 2015 |
| Deep learning for segmentation in radiation therapy planning: a review G Samarasinghe, M Jameson, S Vinod, M Field, J Dowling, A Sowmya, ... Journal of Medical Imaging and Radiation Oncology, 2021 | 55 | 2021 |
| Machine learning applications in radiation oncology M Field, N Hardcastle, M Jameson, N Aherne, L Holloway Physics and Imaging in Radiation Oncology 19, 13-24, 2021 | 55 | 2021 |
| Multicenter evaluation of MRI‐based radiomic features: A phantom study R Rai, LC Holloway, C Brink, M Field, RL Christiansen, Y Sun, MB Barton, ... Medical physics 47 (7), 3054-3063, 2020 | 55 | 2020 |
| A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy A Jochems, I El-Naqa, M Kessler, CS Mayo, S Jolly, M Matuszak, ... Acta Oncologica 57 (2), 226-230, 2018 | 38 | 2018 |
| Learning Trajectories for Robot Programing by Demonstration Using a Coordinated Mixture of Factor Analyzers M Field, D Stirling, Z Pan, F Naghdy IEEE Transactions on Cybernetics 46 (3), 706-717, 2016 | 37 | 2016 |
| Larynx cancer survival model developed through open-source federated learning CR Hansen, G Price, M Field, N Sarup, R Zukauskaite, J Johansen, ... Radiotherapy and Oncology 176, 179-186, 2022 | 20 | 2022 |
| Implementation of the Australian Computer‐Assisted Theragnostics (AusCAT) network for radiation oncology data extraction, reporting and distributed learning M Field, S Vinod, N Aherne, M Carolan, A Dekker, G Delaney, ... Journal of Medical Imaging and Radiation Oncology 65 (5), 627-636, 2021 | 20 | 2021 |
| PSPSO: A package for parameters selection using particle swarm optimization A Haidar, M Field, J Sykes, M Carolan, L Holloway SoftwareX 15, 100706, 2021 | 19 | 2021 |
| The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance MS Barakat, M Field, A Ghose, D Stirling, L Holloway, S Vinod, A Dekker, ... Health information science and systems 5 (1), 16, 2017 | 19 | 2017 |
| Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer M Field, DI Thwaites, M Carolan, GP Delaney, J Lehmann, J Sykes, ... Journal of Biomedical Informatics 134, 104181, 2022 | 15 | 2022 |
| Inertial sensing for human motor control symmetry in injury rehabilitation M Field, D Stirling, M Ros, Z Pan, F Naghdy 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2013 | 13 | 2013 |
| Motion segmentation for humanoid control planning M Field, DA Stirling, F Naghdy, Z Pan Australasian Conference on Robotics and Automation (ACRA) 2008, 1-7, 2008 | 12 | 2008 |
| Objective functional capacity assessment using inertial sensor D Stirling, F Naghdy, G Naghdy, M Field, R Arunglabi, D Kilpatrick 2011 IEEE First International Conference on Healthcare Informatics, Imaging …, 2011 | 10 | 2011 |
| Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings S Pang, M Field, J Dowling, S Vinod, L Holloway, A Sowmya Artificial Intelligence in Medicine 123, 2022 | 9 | 2022 |
| Using machine learning applied to radiomic image features for segmenting tumour structures H Clifton, A Vial, A Miller, C Ritz, M Field, L Holloway, M Ros, M Carolan, ... Asia-Pacific Signal and Information Processing Association Annual Summit and …, 2019 | 9 | 2019 |
| An improved deep learning framework for MR-to-CT image synthesis with a new hybrid objective function SP Ang, SL Phung, M Field, MM Schira 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 8 | 2022 |
Lois HollowayLiverpoolhealth.nsw.gov.au의 이메일 확인됨
