Multivariate pattern recognition for diagnosis and prognosis in clinical neuroimaging: state of the art, current challenges and future trends (Q27008516)

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scientific article (publication date: May 2014)

Language	Label	Description	Also known as
English	Multivariate pattern recognition for diagnosis and prognosis in clinical neuroimaging: state of the art, current challenges and future trends	scientific article (publication date: May 2014)

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scholarly article

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Multivariate pattern recognition for diagnosis and prognosis in clinical neuroimaging: state of the art, current challenges and future trends (English)

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multivariate statistics

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based on heuristic

inferred from title

pattern recognition

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based on heuristic

inferred from title

Karl-Olof Lovblad

2

object named as

Karl-Olof Lovblad

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Panteleimon Giannakopoulos

3

object named as

Panteleimon Giannakopoulos

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Dimitri Van De Ville

object named as

Dimitri Van De Ville

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object named as

Sven Haller

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language of work or name

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publication date

May 2014

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Brain Topography

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27

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3

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329-37

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Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier

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The future of functional MRI in clinical medicine.

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Prognostic and diagnostic potential of the structural neuroanatomy of depression

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Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex

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Disease state prediction from resting state functional connectivity

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Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors

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Predicting the development of mild cognitive impairment: a new use of pattern recognition.

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Functional connectivity tracks clinical deterioration in Alzheimer's disease

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Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities

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Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI.

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A Review of Challenges in the Use of fMRI for Disease Classification / Characterization and A Projection Pursuit Application from Multi-site fMRI Schizophrenia Study

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Prediction of individual brain maturity using fMRI.

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Decoding of emotional information in voice-sensitive cortices

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Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

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Unaffected family members and schizophrenia patients share brain structure patterns: a high-dimensional pattern classification study

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Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study

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Diagnostic transitions in mild cognitive impairment subtypes.

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21 January 2018

Functional and effective connectivity: a review

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Developmental changes in multivariate neuroanatomical patterns that predict risk for psychosis in 22q11.2 deletion syndrome

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Multi-scale classification of disease using structural MRI and wavelet transform

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Can we overcome the 'clinico-radiological paradox' in multiple sclerosis?

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Can cortical thickness asymmetry analysis contribute to detection of at-risk mental state and first-episode psychosis? A pilot study.

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Cerebral microhemorrhage and iron deposition in mild cognitive impairment: susceptibility-weighted MR imaging assessment.

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Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results

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Differentiation between Parkinson disease and other forms of Parkinsonism using support vector machine analysis of susceptibility-weighted imaging (SWI): initial results.

1 reference

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Individual classification of mild cognitive impairment subtypes by support vector machine analysis of white matter DTI.

1 reference

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Brain sizes, surfaces, and neuronal sizes of the cortex cerebri: a stereological investigation of man and his variability and a comparison with some mammals (primates, whales, marsupials, insectivores, and one elephant)

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Distributed and overlapping representations of faces and objects in ventral temporal cortex

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Morphometric spatial patterns differentiating boys with fragile X syndrome, typically developing boys, and developmentally delayed boys aged 1 to 3 years

1 reference

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Neural decoding of visual imagery during sleep.

1 reference

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21 January 2018

Automatic classification of MR scans in Alzheimer's disease

1 reference

https://api.crossref.org/works/10.1007%2FS10548-014-0360-Z

21 January 2018

Information-based functional brain mapping

1 reference

https://api.crossref.org/works/10.1007%2FS10548-014-0360-Z

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Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review

1 reference

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Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort

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Detecting stable distributed patterns of brain activation using Gini contrast

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Introduction to machine learning for brain imaging

1 reference

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Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes

1 reference

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Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI.

1 reference

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Predicting human brain activity associated with the meanings of nouns

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Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study

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Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI).

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Reconstructing visual experiences from brain activity evoked by natural movies

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Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment

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

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Mild cognitive impairment as a diagnostic entity

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Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level

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Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease

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Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity

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Transferring subspaces between subjects in brain--computer interfacing

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Neurodegenerative diseases target large-scale human brain networks

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Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning algorithms

1 reference

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Classification with correlated features: unreliability of feature ranking and solutions

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Identification of MCI individuals using structural and functional connectivity networks

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MRI pattern recognition in multiple sclerosis normal-appearing brain areas

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Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

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Multimodal classification of Alzheimer's disease and mild cognitive impairment

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21 January 2018

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