Laughlin Dawes - researchr alias

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Viewing Publication 1 - 7 from 7

2022

Vertebral Compression Fracture detection using Multiple Instance Learning and Majority VotingSankaran Iyer, Alan Blair 0001, Christopher White, Laughlin Dawes, Daniel Aaron Moses, Arcot Sowmya. icpr 2022: 4630-4636 [doi]

2020

A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural NetworkSankaran Iyer, Arcot Sowmya, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses. isbi 2020: 726-730 [doi]

2018

Peripheral bronchial identification on chest CT using unsupervised machine learningDaniel Moses, Laughlin Dawes, Claude Sammut, Tatjana Zrimec. cars, 13(9):1379-1395, 2018. [doi]

Deep fusion pipeline for mild cognitive impairment diagnosisUpul Senanayake, Arcot Sowmya, Laughlin Dawes. isbi 2018: 1394-1997 [doi]

2017

Deep Learning Approach for Classification of Mild Cognitive Impairment SubtypesUpul Senanayake, Arcot Sowmya, Laughlin Dawes, Nicole A. Kochan, Wei Wen, Perminder S. Sachdev. icpram 2017: 655-662 [doi]

Using Convolutional Neural Networks and Transfer Learning for Bone Age ClassificationJianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Moses, Laughlin Dawes. dicta 2017: 1-6 [doi]

2016

Classification of Mild Cognitive Impairment Subtypes using Neuropsychological DataUpul Senanayake, Arcot Sowmya, Laughlin Dawes, Nicole A. Kochan, Wei Wen, Perminder S. Sachdev. icpram 2016: 620-629 [doi]

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