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David Ahmedt-Aristizabal
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 37
Citations - 489
David Ahmedt-Aristizabal is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 10, co-authored 27 publications receiving 226 citations. Previous affiliations of David Ahmedt-Aristizabal include Karlsruhe Institute of Technology & Queensland University of Technology.
Papers
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Journal ArticleDOI
Detecting changes in facial temperature induced by a sudden auditory stimulus based on deep learning-assisted face tracking.
Saurabh Sonkusare,Saurabh Sonkusare,David Ahmedt-Aristizabal,Matthew J. Aburn,Vinh T. Nguyen,Tianji Pang,Sascha Frydman,Simon Denman,Clinton Fookes,Michael Breakspear,Michael Breakspear,Christine C. Guo,Christine C. Guo +12 more
TL;DR: This work developed a novel semi-automated thermal signal extraction method employing deep learning algorithms for facial landmark identification and found that the temperatures of selected facial regions, particularly the nose tip, significantly decreased after the auditory stimulus.
Proceedings ArticleDOI
Deep Classification of Epileptic Signals
TL;DR: Wang et al. as discussed by the authors proposed a new classification approach for EEG time series based on Recurrent Neural Networks (RNNs) via the use of Long Short Term Memory (LSTM) networks.
Journal ArticleDOI
Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses
David Ahmedt-Aristizabal,Tharindu Fernando,Simon Denman,Jonathan Edward Robinson,Sridha Sridharan,Patrick Johnston,Kristin R. Laurens,Clinton Fookes +7 more
TL;DR: It is demonstrated via average cross-validation performance measures that recurrent deep convolutional neural networks can outperform traditional machine learning methods for sequence modeling and reinforce the benefits of deep learning to support psychiatric classification and neuroscientific research more broadly.
Journal ArticleDOI
Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: A focused survey
David Ahmedt-Aristizabal,Clinton Fookes,Sasha Dionisio,Kien Nguyen,João Paulo Cunha,Sridha Sridharan +5 more
TL;DR: The automatic applications in epilepsy for human motion analysis, brain electrical activity, and the anatomoelectroclinical correlation to attribute anatomical localization of the epileptogenic network to distinctive epilepsy patterns are reviewed.
Journal ArticleDOI
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
TL;DR: A survey of different types of graph architectures and their applications in healthcare can be found in this article, where the authors provide an overview of these methods in a systematic manner, organized by their domain of application including functional connectivity, anatomical structure and electrical-based analysis.