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From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics

Neuroscience and biobehavioral reviews, 2015-10, Vol.57, p.328-349

2015

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Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review

Neuroscience and biobehavioral reviews, 2012-04, Vol.36 (4), p.1140-1152

2012

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Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models

Psychological medicine, 2020-01, Vol.50 (2), p.314-323

2020

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Warped Bayesian linear regression for normative modelling of big data

NeuroImage (Orlando, Fla.), 2021-12, Vol.245, p.118715-118715, Article 118715

2021

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From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder

Neuroscience and biobehavioral reviews, 2019-09, Vol.104, p.240-254

2019

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Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders

Biological psychiatry : cognitive neuroscience and neuroimaging, 2016-09, Vol.1 (5), p.433-447

2016

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Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression

PloS one, 2022-12, Vol.17 (12), p.e0278776-e0278776

2022

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Pattern classification of response inhibition in ADHD: Toward the development of neurobiological markers for ADHD

Human brain mapping, 2014-07, Vol.35 (7), p.3083-3094

2014

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Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

Translational psychiatry, 2018-11, Vol.8 (1), p.241-11, Article 241

2018

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Understanding heterogeneity in clinical cohorts using normative models: beyond case control studies

Biological psychiatry (1969), 2016-10, Vol.80 (7), p.552-561

2016

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Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

NeuroImage (Orlando, Fla.), 2011-10, Vol.58 (3), p.793-804

2011

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Evidence for embracing normative modeling

eLife, 2023-03, Vol.12

2023

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Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study

Biological psychiatry (1969), 2015-08, Vol.78 (4), p.278-286

2015

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Population-wide cerebellar growth models of children and adolescents

Nature communications, 2024-03, Vol.15 (1), p.2351-2351

2024

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Pattern Classification of Sad Facial Processing: Toward the Development of Neurobiological Markers in Depression

Biological psychiatry (1969), 2008-04, Vol.63 (7), p.656-662

2008

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Predicting progression of Alzheimer's disease using ordinal regression

PloS one, 2014-08, Vol.9 (8), p.e105542-e105542

2014

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Fine-grained topographic organization within somatosensory cortex during resting-state and emotional face-matching task and its association with ASD traits

Translational psychiatry, 2023-07, Vol.13 (1), p.270-270

2023

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Evidence for absence of links between striatal dopamine synthesis capacity and working memory capacity, spontaneous eye-blink rate, and trait impulsivity

eLife, 2023-04, Vol.12

2023

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Mapping dopaminergic projections in the human brain with resting-state fMRI

eLife, 2022-02, Vol.11

2022

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Connectopic mapping with resting-state fMRI

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.83-94

2018

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Predictive Neurofunctional Markers of Attention-Deficit/Hyperactivity Disorder Based on Pattern Classification of Temporal Processing

Journal of the American Academy of Child and Adolescent Psychiatry, 2014-05, Vol.53 (5), p.569-578.e1

2014

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Conceptualizing mental disorders as deviations from normative functioning

Molecular psychiatry, 2019-10, Vol.24 (10), p.1415-1424

2019

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Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project

Molecular autism, 2022-12, Vol.13 (1), p.53-53, Article 53

2022

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Mapping Normative Trajectories of Cognitive Function and Its Relation to Psychopathology Symptoms and Genetic Risk in Youth

Biological psychiatry global open science, 2023-04, Vol.3 (2), p.255-263

2023

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From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review

Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models

Warped Bayesian linear regression for normative modelling of big data

From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder

Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders

Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression

Pattern classification of response inhibition in ADHD: Toward the development of neurobiological markers for ADHD

Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

Understanding heterogeneity in clinical cohorts using normative models: beyond case control studies

Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

Charting brain growth and aging at high spatial precision

Evidence for embracing normative modeling

Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study

Population-wide cerebellar growth models of children and adolescents

Pattern Classification of Sad Facial Processing: Toward the Development of Neurobiological Markers in Depression

Predicting progression of Alzheimer's disease using ordinal regression

Fine-grained topographic organization within somatosensory cortex during resting-state and emotional face-matching task and its association with ASD traits

Evidence for absence of links between striatal dopamine synthesis capacity and working memory capacity, spontaneous eye-blink rate, and trait impulsivity

Mapping dopaminergic projections in the human brain with resting-state fMRI

Connectopic mapping with resting-state fMRI

Predictive Neurofunctional Markers of Attention-Deficit/Hyperactivity Disorder Based on Pattern Classification of Temporal Processing

Conceptualizing mental disorders as deviations from normative functioning

Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project

Mapping Normative Trajectories of Cognitive Function and Its Relation to Psychopathology Symptoms and Genetic Risk in Youth

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