The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction

No abstract is available for this paper.

• Publication year

  2012

• Venue

  IEEE Transactions on Medical Imaging

• Publication date

  2012-09-19

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1109/TMI.2012.2216543PMID 23008245PMCID PMC3623564
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Generative-Discriminative Basis Learning for Medical Imaging

  2012cited by this paper
• Author manuscript, published in "International Conference on Machine Learning (2012)" Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering

  2012cited by this paper
• Penalized least squares regression methods and applications to neuroimaging

  2011cited by this paper
• Total Variation Regularization for fMRI-Based Prediction of Behavior

  2011cited by this paper
• LIBSVM: A library for support vector machines

  2011cited by this paper
• Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome

  2011cited by this paper
• Toward defining the preclinical stages of Alzheimer's disease: Recommendations from the National Institute on Aging and the Alzheimer's Association workgroup

  2011cited by this paper
• The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction

  2011cited by this paper
• Toward defining the preclinical stages of Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

  2011cited by this paper
• The Smooth-Lasso and other ℓ1+ℓ2-penalized methods

  2011cited by this paper
• Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity

  2011cited by this paper
• Multiclass Sparse Bayesian Regression for fMRI-Based Prediction

  2011cited by this paper
• Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease

  2011cited by this paper
• Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

  2011cited by this paper
• Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior

  2010cited by this paper
• Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters

  2010cited by this paper
• High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables

  2010cited by this paper
• Prediction of Individual Brain Maturity Using fMRI

  2010cited by this paper
• Spatial and anatomical regularization of SVM for brain image analysis

  2010cited by this paper
• Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease

  2010cited by this paper
• The composite absolute penalties family for grouped and hierarchical variable selection

  2009cited by this paper
• Boosting with Spatial Regularization

  2009cited by this paper
• A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification

  2009cited by this paper
• Performance of feature-selection methods in the classification of high-dimension data

  2009cited by this paper
• Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI

  2009cited by this paper
• A Unified Framework for MR Based Disease Classification

  2009cited by this paper
• Structured Variable Selection with Sparsity-Inducing Norms

  2009cited by this paper
• Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease

  2009cited by this paper
• Learning with structured sparsity

  2009cited by this paper
• Robust Feature Selection Using Ensemble Feature Selection Techniques

  2008cited by this paper
• Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns

  2008cited by this paper
• Bayesian decoding of brain images

  2008cited by this paper
• Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies

  2008cited by this paper
• Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns

  2008cited by this paper
• Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging.

  2008cited by this paper
• Automatic classification of MR scans in Alzheimer's disease.

  2008cited by this paper
• Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning

  2008cited by this paper
• Knowledge and Information Systems REGULAR PAPER

  2007cited by this paper
• A fast diffeomorphic image registration algorithm

  2007cited by this paper
• Consistency of the group Lasso and multiple kernel learning

  2007cited by this paper
• A New View of Automatic Relevance Determination

  2007cited by this paper
• Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults

  2007cited by this paper
• A review of feature selection techniques in bioinformatics

  2007cited by this paper
• COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements

  2007influential reference
• Pattern Recognition and Machine Learning

  2006influential reference
• Spatial SVM for feature selection and fMRI activation detection

  2006cited by this paper
• An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

  2006cited by this paper
• Beyond mind-reading: multi-voxel pattern analysis of fMRI data.

  2006cited by this paper
• Model selection and estimation in regression with grouped variables

  2006cited by this paper
• Neuroimaging: Decoding mental states from brain activity in humans

  2006cited by this paper
• Detection and analysis of statistical differences in anatomical shape

  2005cited by this paper
• Addendum: Regularization and variable selection via the elastic net

  2005cited by this paper
• Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM

  2005cited by this paper
• Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory

  2005cited by this paper
• Unified segmentation

  2005cited by this paper
• Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data

  2005cited by this paper
• Thinning of the cerebral cortex in aging.

  2004cited by this paper
• Learning to Decode Cognitive States from Brain Images

  2004cited by this paper
• Morphological classification of brains via high-dimensional shape transformations and machine learning methods

  2004cited by this paper
• Information Theory, Inference, and Learning Algorithms

  2004cited by this paper
• Predictive automatic relevance determination by expectation propagation

  2004cited by this paper
• Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification

  2004cited by this paper
• Fast Marginal Likelihood Maximisation for Sparse Bayesian Models

  2003cited by this paper
• Icasso: software for investigating the reliability of ICA estimates by clustering and visualization

  2003cited by this paper
• A voxel-based morphometric study of ageing in 465 normal adult human brains

  2001cited by this paper
• Sparse Bayesian Learning and the Relevance Vector Machine

  2001influential reference
• A Unified Statistical Approach to Deformation-Based Morphometry

  2001cited by this paper
• Discriminative Direction for Kernel Classifiers

  2001cited by this paper
• Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex

  2001cited by this paper
• Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy

  2001cited by this paper
• Voxel-based morphometry--the methods.

  2000cited by this paper
• Measuring the thickness of the human cerebral cortex from magnetic resonance images.

  2000cited by this paper
• The effect of normal aging on the coupling of neural activity to the bold hemodynamic response.

  1999cited by this paper
• Cortical surface-based analysis. I. Segmentation and surface reconstruction.

  1999cited by this paper
• Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

  1999cited by this paper
• Comparison of Approximate Methods for Handling Hyperparameters

  1999cited by this paper
• High‐resolution intersubject averaging and a coordinate system for the cortical surface

  1999cited by this paper
• Identifying global anatomical differences: Deformation‐based morphometry

  1998cited by this paper
• Regression Shrinkage and Selection via the Lasso

  1996cited by this paper
• Analysis of fMRI time-series revisited--again.

  1995cited by this paper
• Support-Vector Networks

  1995cited by this paper
• Bayesian learning for neural networks

  1995cited by this paper
• Bayesian Regularization and Pruning Using a Laplace Prior

  1995cited by this paper
• Rapidly progressing atrophy of medial temporal lobe in Alzheimer's disease.

  1994cited by this paper
• Statistical Decision Theory and Bayesian Analysis, Second Edition

  1993cited by this paper
• Bayesian methods for adaptive models

  1992cited by this paper
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems

  1977cited by this paper
• Regression Models and Life-Tables

  1972cited by this paper

• Unveiling Autism: Machine Learning-based Autism Spectrum Disorder Detection through MRI Analysis

  2025cites this paper
• The Application of Intelligent Data Models for Dementia Classification

  2023cites this paper
• A lightweight generative model for interpretable subject-level prediction

  2023cites this paper
• Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model

  2022cites this paper
• Stable Anatomy Detection in Multimodal Imaging Through Sparse Group Regularization: A Comparative Study of Iron Accumulation in the Aging Brain

  2021cites this paper
• Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning

  2020cites this paper
• Advances of Neuroimaging and Data Analysis

  2020cites this paper
• Predicting brain age with complex networks: From adolescence to adulthood

  2020cites this paper
• AutoAtlas: Neural Network for 3D Unsupervised Partitioning and Representation Learning

  2020cites this paper
• In vivo biomarkers of structural and functional brain development and aging in humans.

  2020cites this paper
• Anatomical context improves deep learning on the brain age estimation task.

  2019cites this paper
• Grouped sparse Bayesian learning for voxel selection in multivoxel pattern analysis of fMRI data

  2019cites this paper
• Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?

  2019cites this paper
• Advancing Statistical Inference for Population Studies in Neuroimaging Using Machine Learning

  2018cites this paper
• Analysis of structural brain MRI and multi-parameter classification for Alzheimer’s disease

  2018cites this paper
• Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging

  2018cites this paper
• Significant Anatomy Detection Through Sparse Classification: A Comparative Study

  2018cites this paper
• Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

  2017cites this paper
• Integrated Structural And Functional Biomarkers For Neurodegeneration

  2017cites this paper
• Validating supervised learning approaches to the prediction of disease status in neuroimaging

  2017cites this paper
• Premature brain aging in humans exposed to maternal nutrient restriction during early gestation

  2017cites this paper
• Sparse Bayesian registration of medical images for self‐tuning of parameters and spatially adaptive parametrization of displacements

  2017cites this paper
• A Bayesian probit model with spatially varying coefficients for brain decoding using fMRI data

  2016cites this paper
• Advanced MRI Analysis for Computer-Aided Diagnosis of Dementia

  2016cites this paper
• Eigenanatomy: sparse dimensionality reduction for multi-modal medical image analysis.

  2015cites this paper
• A Sparse Bayesian Learning Algorithm for Longitudinal Image Data

  2015influential citation
• Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

  2015cites this paper
• Feature Selection Based on the SVM Weight Vector for Classification of Dementia

  2015cites this paper
• Improving MRI Brain Image Classification with Anatomical Regional Kernels

  2015cites this paper
• Valid population inference for information-based imaging: From the second-level t-test to prevalence inference

  2015cites this paper
• Learning-based prediction of gestational age from ultrasound images of the fetal brain

  2015cites this paper
• Probabilistic prediction of Alzheimer's disease from multimodal image data with Gaussian processes

  2015cites this paper
• Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm.

  2015cites this paper
• Mining brain imaging and genetics data via structured sparse learning

  2015cites this paper
• Relevant feature set estimation with a knock-out strategy and random forests

  2015cites this paper
• Predicting Fetal Neurodevelopmental Age from Ultrasound Images

  2014cites this paper
• Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning

  2014cites this paper
• A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models

  2014cites this paper
• SCoRS—A Method Based on Stability for Feature Selection and Mapping in Neuroimaging

  2014cites this paper
• Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study

  2014cites this paper
• Hierarchical Manifold Learning for Regional Image Analysis

  2014cites this paper
• An Improved Optimization Method for the Relevance Voxel Machine

  2013cites this paper
• On Feature Relevance in Image-Based Prediction Models: An Empirical Study

  2013cites this paper
• Analyzing grey matter diffusivity of autism in the context of white matter connectivity

  2013cites this paper
• A Bayesian Algorithm for Image-Based Time-to-Event Prediction

  2013cites this paper
• The Improved Relevance Voxel Machine

  2013cites this paper
• Surface-based mapping of the serotonin transporter binding in cerebral cortex-filtering and modeling of PET / MRI data

  2013cites this paper