Search Results - "Storkey, Amos"

Meta-Learning in Neural Networks: A Survey by Hospedales, Timothy, Antoniou, Antreas, Micaelli, Paul, Storkey, Amos

“…The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where tasks…”
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Charles Bonnet syndrome: evidence for a generative model in the cortex? by Reichert, David P, Seriès, Peggy, Storkey, Amos J

“…Several theories propose that the cortex implements an internal model to explain, predict, and learn about sensory data, but the nature of this model is…”
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Individualized prediction of psychosis in subjects with an at-risk mental state by Zarogianni, Eleni, Storkey, Amos J., Borgwardt, Stefan, Smieskova, Renata, Studerus, Erich, Riecher-Rössler, Anita, Lawrie, Stephen M.

“…Early intervention strategies in psychosis would significantly benefit from the identification of reliable prognostic biomarkers. Pattern classification…”
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Improved individualized prediction of schizophrenia in subjects at familial high risk, based on neuroanatomical data, schizotypal and neurocognitive features by Zarogianni, Eleni, Storkey, Amos J, Johnstone, Eve C, Owens, David G.C, Lawrie, Stephen M

“…Abstract To date, there are no reliable markers for predicting onset of schizophrenia in individuals at high risk (HR). Substantial promise is, however, shown…”
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The Supervised Hierarchical Dirichlet Process by Dai, Andrew M., Storkey, Amos J.

“…We propose the supervised hierarchical Dirichlet process (sHDP), a nonparametric generative model for the joint distribution of a group of observations and a…”
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Accuracy of Automated Computer-Aided Diagnosis for Stroke Imaging: A Critical Evaluation of Current Evidence by Wardlaw, Joanna M., Mair, Grant, von Kummer, Rüdiger, Williams, Michelle C., Li, Wenwen, Storkey, Amos J., Trucco, Emanuel, Liebeskind, David S., Farrall, Andrew, Bath, Philip M., White, Philip

“…There is increasing interest in computer applications, using artificial intelligence methodologies, to perform health care tasks previously performed by…”
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Single subject fMRI test–retest reliability metrics and confounding factors by Gorgolewski, Krzysztof J., Storkey, Amos J., Bastin, Mark E., Whittle, Ian, Pernet, Cyril

“…While the fMRI test–retest reliability has been mainly investigated from the point of view of group level studies, here we present analyses and results for…”
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Can deep learning on retinal images augment known risk factors for cardiovascular disease prediction in diabetes? A prospective cohort study from the national screening programme in Scotland by Mellor, Joseph, Jiang, Wenhua, Fleming, Alan, McGurnaghan, Stuart J., Blackbourn, Luke, Styles, Caroline, Storkey, Amos J., McKeigue, Paul M., Colhoun, Helen M.

“…•We find strong evidence that fundus images contain information useful for CVD risk prediction in people with diabetes.•The adjusted standardised incidence…”
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Using Deep Learning to Model Elevation Differences between Radar and Laser Altimetry by Horton, Alex, Ewart, Martin, Gourmelen, Noel, Fettweis, Xavier, Storkey, Amos

“…Satellite and airborne observations of surface elevation are critical in understanding climatic and glaciological processes and quantifying their impact on…”
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Deep learning detection of diabetic retinopathy in Scotland's diabetic eye screening programme by Fleming, Alan D, Mellor, Joseph, McGurnaghan, Stuart J, Blackbourn, Luke A K, Goatman, Keith A, Styles, Caroline, Storkey, Amos J, McKeigue, Paul M, Colhoun, Helen M

“…Support vector machine-based automated grading (known as iGradingM) has been shown to be safe, cost-effective and robust in the diabetic retinopathy (DR)…”
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Test–retest reliability of structural brain networks from diffusion MRI by Buchanan, Colin R., Pernet, Cyril R., Gorgolewski, Krzysztof J., Storkey, Amos J., Bastin, Mark E.

“…Structural brain networks constructed from diffusion MRI (dMRI) and tractography have been demonstrated in healthy volunteers and more recently in various…”
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Reduced structural connectivity within a prefrontal-motor-subcortical network in amyotrophic lateral sclerosis by Buchanan, Colin R., Pettit, Lewis D., Storkey, Amos J., Abrahams, Sharon, Bastin, Mark E.

“…Background To investigate white matter structural connectivity changes associated with amyotrophic lateral sclerosis (ALS) using network analysis and compare…”
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Brain white matter structure and information processing speed in healthy older age by Kuznetsova, Ksenia A., Maniega, Susana Muñoz, Ritchie, Stuart J., Cox, Simon R., Storkey, Amos J., Starr, John M., Wardlaw, Joanna M., Deary, Ian J., Bastin, Mark E.

“…Cognitive decline, especially the slowing of information processing speed, is associated with normal ageing. This decline may be due to brain cortico-cortical…”
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Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols by Li, Bryan M., Castorina, Leonardo V., Valdés Hernández, Maria del C., Clancy, Una, Wiseman, Stewart J., Sakka, Eleni, Storkey, Amos J., Jaime Garcia, Daniela, Cheng, Yajun, Doubal, Fergus, Thrippleton, Michael T., Stringer, Michael, Wardlaw, Joanna M.

“…Vast quantities of Magnetic Resonance Images (MRI) are routinely acquired in clinical practice but, to speed up acquisition, these scans are typically of a…”
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Substituting Convolutions for Neural Network Compression by Crowley, Elliot J., Gray, Gavin, Turner, Jack, Storkey, Amos

“…Many practitioners would like to deploy deep, convolutional neural networks in memory-limited scenarios, e.g., on an embedded device. However, with an…”
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Adaptive thresholding for reliable topological inference in single subject fMRI analysis by Gorgolewski, Krzysztof J, Storkey, Amos J, Bastin, Mark E, Pernet, Cyril R

“…Single subject fMRI has proved to be a useful tool for mapping functional areas in clinical procedures such as tumor resection. Using fMRI data, clinicians…”
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Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes by Lyons, Simon M. J., Sarkka, Simo, Storkey, Amos J.

“…In this paper, we describe a novel application of sigma-point methods to continuous-discrete filtering. The nonlinear continuous-discrete filtering problem is…”
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Poster #M160 IMPROVED INDIVIDUALISED PREDICTION OF SCHIZOPHRENIA IN SUBJECTS AT GENETIC HIGH RISK, BASED ON NEUROANATOMICAL AND CLINICAL DATA by Zarogianni, Eleni, Storkey, Amos J, Moorhead, Thomas W.J, Lawrie, Stephen

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Reproducibility of tract segmentation between sessions using an unsupervised modelling-based approach by Clayden, Jonathan D., Storkey, Amos J., Maniega, Susana Muñoz, Bastin, Mark E.

“…This work describes a reproducibility analysis of scalar water diffusion parameters, measured within white matter tracts segmented using a probabilistic shape…”
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A Probabilistic Model-Based Approach to Consistent White Matter Tract Segmentation by Clayden, J.D., Storkey, A.J., Bastin, M.E.

“…Since the invention of diffusion magnetic resonance imaging (dMRI), currently the only established method for studying white matter connectivity in a clinical…”
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