Matthew Field
Matthew Field
University of New South Wales and Ingham Institute for Applied Medical Research
Verified email at
Cited by
Cited by
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
Transl Cancer Res 7 (3), 803-816, 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
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
Human motion capture sensors and analysis in robotics
M Field, Z Pan, D Stirling, F Naghdy
Industrial Robot: An International Journal, 2011
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
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
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
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
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
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
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
Mixture model segmentation for gait recognition
M Field, D Stirling, F Naghdy, Z Pan
2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems …, 2008
Nonlinear bilateral teleoperation using extended active observer for force estimation and disturbance suppression
L Chan, F Naghdy, D Stirling, M Field
Robotica 33 (1), 61-86, 2015
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
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
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
PSPSO: A package for parameters selection using particle swarm optimization
A Haidar, M Field, J Sykes, M Carolan, L Holloway
SoftwareX 15, 100706, 2021
A distributed data mining network infrastructure for Australian radiotherapy decision support
M Field, M Barakat, M Bailey, M Carolan, A Dekker, G Delaney, G Goozee, ...
Engineering and Physical Sciences in Medicine (EPSM), Wellington NZ 39, 323, 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
Modelling dynamic body motion using IMUs positioned on the torso
A Vial, D Stirling, M Ros, PJ Vial, M Field
2017 11th International Conference on Signal Processing and Communication …, 2017
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