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ORCIDLaughlin Dawes
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Journal Articles
- 2018
[j1]Daniel Aaron Moses
, Laughlin Dawes, Claude Sammut, Tatjana Zrimec:
Peripheral bronchial identification on chest CT using unsupervised machine learning. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1379-1395 (2018)
Conference and Workshop Papers
- 2022
- [c6]Sankaran Iyer, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses, Arcot Sowmya:
Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting. ICPR 2022: 4630-4636 - 2020
- [c5]Sankaran Iyer, Arcot Sowmya, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses:
A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network. ISBI 2020: 726-730 - 2018
- [c4]Upul Senanayake, Arcot Sowmya, Laughlin Dawes:
Deep fusion pipeline for mild cognitive impairment diagnosis. ISBI 2018: 1394-1997 - 2017
- [c3]Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes:
Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. DICTA 2017: 1-6 - [c2]Upul Senanayake, Arcot Sowmya, Laughlin Dawes, Nicole A. Kochan, Wei Wen, Perminder S. Sachdev:
Deep Learning Approach for Classification of Mild Cognitive Impairment Subtypes. ICPRAM 2017: 655-662 - 2016
- [c1]Upul Senanayake, Arcot Sowmya, Laughlin Dawes, Nicole A. Kochan, Wei Wen, Perminder S. Sachdev:
Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data. ICPRAM 2016: 620-629
Informal and Other Publications
- 2021
- [i1]Sankaran Iyer, Alan Blair, Laughlin Dawes, Daniel Aaron Moses, Christopher White, Arcot Sowmya:
Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning. CoRR abs/2112.03276 (2021)
Coauthor Index
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