Laughlin Dawes

According to our database, Laughlin Dawes authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting.

Sankaran Iyer, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses, Arcot Sowmya

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning.

Sankaran Iyer, Alan Blair, Laughlin Dawes, Daniel Aaron Moses, Christopher White, Arcot Sowmya

CoRR, 2021

2020

A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network.

Sankaran Iyer, Arcot Sowmya, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2018

Peripheral bronchial identification on chest CT using unsupervised machine learning.

Daniel Aaron Moses, Laughlin Dawes, Claude Sammut, Tatjana Zrimec

Int. J. Comput. Assist. Radiol. Surg., 2018

Deep fusion pipeline for mild cognitive impairment diagnosis.

Upul Senanayake, Arcot Sowmya, Laughlin Dawes

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Deep Learning Approach for Classification of Mild Cognitive Impairment Subtypes.

Upul Senanayake, Arcot Sowmya, Laughlin Dawes, Nicole A. Kochan, Wei Wen, Perminder S. Sachdev

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification.

Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data.

Upul Senanayake, Arcot Sowmya, Laughlin Dawes, Nicole A. Kochan, Wei Wen, Perminder S. Sachdev

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016