Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data. - Upul Senanayake; Arcot Sowmya; Laughlin Dawes; Nicole A. Kochan; Wei Wen; Perminder S. Sachdev (ICPRAM, 2016)

Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. - Jianlong Zhou; Zelin Li; Weiming Zhi; Bin Liang 003; Daniel Aaron Moses; Laughlin Dawes (DICTA, 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 (ICPRAM, 2017)

Deep fusion pipeline for mild cognitive impairment diagnosis. - Upul Senanayake; Arcot Sowmya; Laughlin Dawes (ISBI, 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)

A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network. - Sankaran Iyer; Arcot Sowmya; Alan Blair 001; Christopher White; Laughlin Dawes; Daniel Aaron Moses (ISBI, 2020)

Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning. - Sankaran Iyer; Alan Blair 001; Laughlin Dawes; Daniel Aaron Moses; Christopher White; Arcot Sowmya (CoRR, 2021)

Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting. - Sankaran Iyer; Alan Blair 001; Christopher White; Laughlin Dawes; Daniel Aaron Moses; Arcot Sowmya (ICPR, 2022)