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Journal Articles
- 2022
[j4]Tim Ottens
, Sebastiano Barbieri, Matthew R. Orton, Remy Klaassen, Hanneke W. M. van Laarhoven, Hans Crezee, Aart J. Nederveen, Xiantong Zhen, Oliver J. Gurney-Champion:
Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer. Medical Image Anal. 80: 102512 (2022)- 2016
- [j3]Lin Cheng, Matthew D. Blackledge, David J. Collins, Matthew R. Orton, Neil P. Jerome, Thorsten Feiweier, Mihaela Rata, Veronica Morgan, Nina Tunariu, Martin O. Leach, Dow-Mu Koh:
T2-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisation. Comput. Biol. Medicine 79: 92-98 (2016) - 2013
- [j2]Hoo-Chang Shin, Matthew Orton, David J. Collins, Simon J. Doran, Martin O. Leach:
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1930-1943 (2013) - 2002
- [j1]Matthew Orton, William Fitzgerald:
A Bayesian approach to tracking multiple targets using sensor arrays and particle filters. IEEE Trans. Signal Process. 50(2): 216-223 (2002)
Conference and Workshop Papers
- 2019
- [c3]Matthew Orton, Siyu Dai, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Incremental Planning Performance through Overlapping Replanning and Execution. ICRA 2019: 2426-2432 - 2018
- [c2]Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Trajectory Optimization Using a Roadmap Framework. IROS 2018: 8674-8681 - 2011
- [c1]Hoo-Chang Shin, Matthew Orton, David J. Collins, Simon J. Doran, Martin O. Leach:
Autoencoder in Time-Series Analysis for Unsupervised Tissues Characterisation in a Large Unlabelled Medical Image Dataset. ICMLA (1) 2011: 259-264
Informal and Other Publications
- 2018
- [i1]Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Trajectory Optimization using a Roadmap Framework. CoRR abs/1811.02044 (2018)
Coauthor Index
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