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Meta-Learning in Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5149-5169

2022

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Improved individualized prediction of schizophrenia in subjects at familial high risk, based on neuroanatomical data, schizotypal and neurocognitive features

Schizophrenia research, 2017-03, Vol.181, p.6-12

2017

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Charles Bonnet syndrome: evidence for a generative model in the cortex?

PLoS computational biology, 2013, Vol.9 (7), p.e1003134-e1003134

2013

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Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols

Frontiers in computational neuroscience, 2022-08, Vol.16, p.887633-887633

2022

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Adaptive thresholding for reliable topological inference in single subject fMRI analysis

Frontiers in human neuroscience, 2012-08, Vol.6, p.245-245

2012

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Test–retest reliability of structural brain networks from diffusion MRI

NeuroImage (Orlando, Fla.), 2014-02, Vol.86, p.231-243

2014

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Individualized prediction of psychosis in subjects with an at-risk mental state

Schizophrenia research, 2019-12, Vol.214, p.18-23

2019

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The Supervised Hierarchical Dirichlet Process

IEEE transactions on pattern analysis and machine intelligence, 2015-02, Vol.37 (2), p.243-255

2015

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Accuracy of Automated Computer-Aided Diagnosis for Stroke Imaging: A Critical Evaluation of Current Evidence

Stroke (1970), 2022-07, Vol.53 (7), p.2393-2403

2022

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Single subject fMRI test–retest reliability metrics and confounding factors

NeuroImage (Orlando, Fla.), 2013-04, Vol.69, p.231-243

2013

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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

International journal of medical informatics (Shannon, Ireland), 2023-07, Vol.175, p.105072-105072, Article 105072

2023

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Brain white matter structure and information processing speed in healthy older age

Brain Structure and Function, 2016-07, Vol.221 (6), p.3223-3235

2016

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Reduced structural connectivity within a prefrontal-motor-subcortical network in amyotrophic lateral sclerosis

Journal of magnetic resonance imaging, 2015-05, Vol.41 (5), p.1342-1352

2015

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TractoR : Magnetic Resonance Imaging and Tractography with R

Journal of statistical software, 2011-10, Vol.44 (8)

2011

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A Probabilistic Model-Based Approach to Consistent White Matter Tract Segmentation

IEEE transactions on medical imaging, 2007-11, Vol.26 (11), p.1555-1561

2007

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Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes

IEEE transactions on signal processing, 2014-03, Vol.62 (6), p.1514-1524

2014

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Poster #M160 IMPROVED INDIVIDUALISED PREDICTION OF SCHIZOPHRENIA IN SUBJECTS AT GENETIC HIGH RISK, BASED ON NEUROANATOMICAL AND CLINICAL DATA

Schizophrenia research, 2014-04, Vol.153, p.S248-S249

2014

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Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets

Machine Learning and Knowledge Discovery in Databases, p.560-574

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Reproducibility of tract segmentation between sessions using an unsupervised modelling-based approach

NeuroImage (Orlando, Fla.), 2009-04, Vol.45 (2), p.377-385

2009

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Homeostasis causes hallucinations in a hierarchical generative model of the visual cortex: the Charles Bonnet Syndrome

BMC neuroscience, 2011-07, Vol.12 (S1), p.P319-P319, Article P319

2011

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Improved segmentation reproducibility in group tractography using a quantitative tract similarity measure

NeuroImage (Orlando, Fla.), 2006-11, Vol.33 (2), p.482-492

2006

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Tract shape modelling provides evidence of topological change in corpus callosum genu during normal ageing

NeuroImage (Orlando, Fla.), 2008-10, Vol.43 (1), p.20-28

2008

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Extracting Motion Primitives from Natural Handwriting Data

Artificial Neural Networks – ICANN 2006, 2006, p.634-643

2006

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Asymptotically exact inference in differentiable generative models

Electronic journal of statistics, 2017-01, Vol.11 (2)

2017

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546-P: Deep Learning Predictions of Diabetic Retinopathy Associated with Progression of Renal Disease in Type 1 Diabetes

Diabetes (New York, N.Y.), 2019-06, Vol.68 (Supplement_1)

2019

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Meta-Learning in Neural Networks: A Survey

Improved individualized prediction of schizophrenia in subjects at familial high risk, based on neuroanatomical data, schizotypal and neurocognitive features

Charles Bonnet syndrome: evidence for a generative model in the cortex?

Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols

Adaptive thresholding for reliable topological inference in single subject fMRI analysis

Test–retest reliability of structural brain networks from diffusion MRI

Individualized prediction of psychosis in subjects with an at-risk mental state

The Supervised Hierarchical Dirichlet Process

Accuracy of Automated Computer-Aided Diagnosis for Stroke Imaging: A Critical Evaluation of Current Evidence

Single subject fMRI test–retest reliability metrics and confounding factors

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

Brain white matter structure and information processing speed in healthy older age

Reduced structural connectivity within a prefrontal-motor-subcortical network in amyotrophic lateral sclerosis

TractoR : Magnetic Resonance Imaging and Tractography with R

A Probabilistic Model-Based Approach to Consistent White Matter Tract Segmentation

Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes

Poster #M160 IMPROVED INDIVIDUALISED PREDICTION OF SCHIZOPHRENIA IN SUBJECTS AT GENETIC HIGH RISK, BASED ON NEUROANATOMICAL AND CLINICAL DATA

Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets

Reproducibility of tract segmentation between sessions using an unsupervised modelling-based approach

Homeostasis causes hallucinations in a hierarchical generative model of the visual cortex: the Charles Bonnet Syndrome

Improved segmentation reproducibility in group tractography using a quantitative tract similarity measure

Tract shape modelling provides evidence of topological change in corpus callosum genu during normal ageing

Extracting Motion Primitives from Natural Handwriting Data

Asymptotically exact inference in differentiable generative models

546-P: Deep Learning Predictions of Diabetic Retinopathy Associated with Progression of Renal Disease in Type 1 Diabetes

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