Matthew Field - RankMe

21 papers Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Development of federated learning neural networks with combined horizontal and vertical data partitioning. Appl. Soft Comput. Amir Anees, Matthew Field, Lois Holloway
2024	J	`jnl`	A neural network-based vertical federated learning framework with server integration. Eng. Appl. Artif. Intell. Amir Anees, Matthew Field, Lois Holloway
2024	J	`jnl`	Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. Comput. Medical Imaging Graph. Phillip Chlap, Hang Min, Jason Dowling, Matthew Field, Kirrily Cloak, Trevor Leong, Mark Lee, Julie Chu, Jennifer Tan, Phillip Tran, Tomas Kron, Mark Sidhom, Kirsty Wiltshire, Sarah Keats, Andrew Kneebone, Annette Haworth, Martin A. Ebert, Shalini K. Vinod, Lois Holloway
2023	J	`jnl`	The Utility of Oncology Information Systems for Prognostic Modelling in Head and Neck Cancer. J. Medical Syst. Damian P. Kotevski, Robert I. Smee, Matthew Field, Kathryn Broadley, Claire M. Vajdic
2022	—	`conf`	An Improved Deep Learning Framework for MR-to-CT Image Synthesis with a New Hybrid Objective Function. ISBI Sui Paul Ang, Son Lam Phung, Matthew Field, Mark Matthias Schira
2022	J	`jnl`	Distributed learning optimisation of Cox models can leak patient data: Risks and solutions. CoRR Carsten Brink, Christian Rønn Hansen, Matthew Field, Gareth Price, David I. Thwaites, Nis Sarup, Uffe Bernchou, Lois Holloway
2022	J	`jnl`	Evaluation of an automated Presidio anonymisation model for unstructured radiation oncology electronic medical records in an Australian setting. Int. J. Medical Informatics Damian P. Kotevski, Robert I. Smee, Matthew Field, Yvonne N. Nemes, Kathryn Broadley, Claire M. Vajdic
2022	J	`jnl`	Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer. J. Biomed. Informatics Matthew Field, David I. Thwaites, Martin Carolan, Geoff P. Delaney, Joerg Lehmann, Jonathan Sykes, Shalini Vinod, Lois Holloway
2022	J	`jnl`	Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. Artif. Intell. Medicine Shuchao Pang, Matthew Field, Jason Dowling, Shalini K. Vinod, Lois Holloway, Arcot Sowmya
2021	J	`jnl`	PSPSO: A package for parameters selection using particle swarm optimization. SoftwareX Ali Haidar, Matthew Field, Jonathan Sykes, Martin Carolan, Lois Holloway
2019	—	`conf`	Using Gaussian Mixture Modelling to Analyse Dynamic Body Postures from Multiple Inertial Measurement Units. ICSPCS Alanna Vial, Peter James Vial, David Stirling, Montserrat Ros, Matthew Field
2019	—	`conf`	Using Machine Learning Applied to Radiomic Image Features for Segmenting Tumour Structures. APSIPA Henry Clifton, Alanna Vial, Andrew Miller, Christian Ritz, Matthew Field, Lois Holloway, Montserrat Ros, Martin Carolan, David Stirling
2017	—	`conf`	Assessing the prognostic impact of 3D CT image tumour rind texture features on lung cancer survival modelling. GlobalSIP Alanna Vial, David Stirling, Matthew Field, Montserrat Ros, Christian H. Ritz, Martin Carolan, Lois Holloway, Alexis A. Miller
2017	—	`conf`	Modelling dynamic body motion using IMUs positioned on the torso. ICSPCS Alanna Vial, David Stirling, Montserrat Ros, Peter James Vial, Matthew Field
2017	J	`jnl`	The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. Health Inf. Sci. Syst. Mohamed S. Barakat, Matthew Field, Aditya Ghose, David Stirling, Lois Holloway, Shalini K. Vinod, Andre Dekker, David I. Thwaites
2016	J	`jnl`	Learning Trajectories for Robot Programing by Demonstration Using a Coordinated Mixture of Factor Analyzers. IEEE Trans. Cybern. Matthew Field, David Stirling, Zengxi Pan, Fazel Naghdy
2015	J	`jnl`	Nonlinear bilateral teleoperation using extended active observer for force estimation and disturbance suppression. Robotica Linping Chan, Fazel Naghdy, David Stirling, Matthew Field
2015	J	`jnl`	Recognizing human motions through mixture modeling of inertial data. Pattern Recognit. Matthew Field, David Stirling, Zengxi Pan, Montserrat Ros, Fazel Naghdy
2013	—	`conf`	Inertial sensing for human motor control symmetry in injury rehabilitation. AIM Matthew Field, David Stirling, Montserrat Ros, Zengxi Pan, Fazel Naghdy
2011	J	`jnl`	Human motion capture sensors and analysis in robotics. Ind. Robot Matthew Field, Zengxi Pan, David Stirling, Fazel Naghdy
2011	—	`conf`	Objective Functional Capacity Assessment Using Inertial Sensor. HISB David Stirling, Fazel Naghdy, Golshah Naghdy, Matthew Field, R. Arunglabi, D. Kilpatrick