Matthew Field
Orcid: 0000-0002-6169-6721
According to our database1,
Matthew Field
authored at least 20 papers
between 2011 and 2024.
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Bibliography
2024
A neural network-based vertical federated learning framework with server integration.
Eng. Appl. Artif. Intell., 2024
Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets.
Comput. Medical Imaging Graph., 2024
2023
The Utility of Oncology Information Systems for Prognostic Modelling in Head and Neck Cancer.
J. Medical Syst., 2023
2022
Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer.
J. Biomed. Informatics, 2022
Evaluation of an automated Presidio anonymisation model for unstructured radiation oncology electronic medical records in an Australian setting.
Int. J. Medical Informatics, 2022
Distributed learning optimisation of Cox models can leak patient data: Risks and solutions.
CoRR, 2022
Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings.
Artif. Intell. Medicine, 2022
An Improved Deep Learning Framework for MR-to-CT Image Synthesis with a New Hybrid Objective Function.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
SoftwareX, 2021
2019
Using Gaussian Mixture Modelling to Analyse Dynamic Body Postures from Multiple Inertial Measurement Units.
Proceedings of the 13th International Conference on Signal Processing and Communication Systems, 2019
Using Machine Learning Applied to Radiomic Image Features for Segmenting Tumour Structures.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019
2017
The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance.
Health Inf. Sci. Syst., 2017
Proceedings of the 11th International Conference on Signal Processing and Communication Systems, 2017
Assessing the prognostic impact of 3D CT image tumour rind texture features on lung cancer survival modelling.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
2016
Learning Trajectories for Robot Programing by Demonstration Using a Coordinated Mixture of Factor Analyzers.
IEEE Trans. Cybern., 2016
2015
Nonlinear bilateral teleoperation using extended active observer for force estimation and disturbance suppression.
Robotica, 2015
Pattern Recognit., 2015
2013
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013
2011
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011