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Matthew Orton

Matthew R. Orton

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Journal Articles

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2022
[j4]
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  - journals/mia/OttensBOKLCNZG22
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  - https://dblp.org/rec/journals/mia/OttensBOKLCNZG22
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
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  - journals/cbm/ChengBCOJFRMTLK16
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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]
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  - journals/pami/ShinOCDL13
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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]
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  - journals/tsp/OrtonF02
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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

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2019
[c3]
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  - conf/icra/OrtonDSHW19
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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
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  - conf/iros/DaiOSHW18
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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]
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  - conf/icmla/ShinOCDL11
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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

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2018
[i1]
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  - journals/corr/abs-1811-02044
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Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Trajectory Optimization using a Roadmap Framework. CoRR abs/1811.02044 (2018)

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