Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines

(2017) Gaël Varoquaux et al.   NEUROIMAGE

Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding

(2017) Luca Baldassarre et al.   Frontiers in Neuroscience

Interpretability of Multivariate Brain Maps in Linear Brain Decoding: Definition, and Heuristic Quantification in Multivariate Analysis of MEG Time-Locked Effects

(2017) Seyed Mostafa Kia et al.   Frontiers in Neuroscience

Use of SVM Methods with Surface-Based Cortical and Volumetric Subcortical Measurements to Detect Alzheimer's Disease

(2017) Pedro Paulo de Magalhães Oliveira et al.   JOURNAL OF ALZHEIMERS DISEASE

A multi-modal parcellation of human cerebral cortex

(2016) Matthew F. Glasser et al.   NATURE

CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave

(2016) Nikolaas N. Oosterhof et al.   Frontiers in Neuroinformatics

Causal interpretation rules for encoding and decoding models in neuroimaging

(2015) Sebastian Weichwald et al.   NEUROIMAGE

Sparse network-based models for patient classification using fMRI

(2015) Maria J. Rosa et al.   NEUROIMAGE

A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives

(2015) John-Dylan Haynes   NEURON

Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning

(2015) Yudong Zhang et al.   Frontiers in Computational Neuroscience

The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data

(2015) Martin N. Hebart et al.   Frontiers in Neuroinformatics

An Ensemble-of-Classifiers Based Approach for Early Diagnosis of Alzheimer’s Disease: Classification Using Structural Features of Brain Images

(2014) Saima Farhan et al.   Computational and Mathematical Methods in Medicine

Seeing Jesus in toast: Neural and behavioral correlates of face pareidolia

(2014) Jiangang Liu et al.   CORTEX

The Neural Code for Face Orientation in the Human Fusiform Face Area

(2014) F. M. Ramirez et al.   JOURNAL OF NEUROSCIENCE

Bayesian multi-task learning for decoding multi-subject neuroimaging data

(2014) Andre F. Marquand et al.   NEUROIMAGE

MANIA—A Pattern Classification Toolbox for Neuroimaging Data

(2014) Dominik Grotegerd et al.   NEUROINFORMATICS

Machine learning for neuroimaging with scikit-learn

(2014) Alexandre Abraham et al.   Frontiers in Neuroinformatics

SCoRS—A Method Based on Stability for Feature Selection and Mapping in Neuroimaging

(2013) Jane M. Rondina et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Searchlight analysis: Promise, pitfalls, and potential

(2013) Joset A. Etzel et al.   NEUROIMAGE

On the interpretation of weight vectors of linear models in multivariate neuroimaging

(2013) Stefan Haufe et al.   NEUROIMAGE

PRoNTo: Pattern Recognition for Neuroimaging Toolbox

(2013) J. Schrouff et al.   NEUROINFORMATICS

Persistence of hippocampal multivoxel patterns into postencoding rest is related to memory

(2013) A. Tambini et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes

(2013) Gaëtan Garraux et al.   NeuroImage-Clinical

Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities

(2012) M. Filippone et al.   Annals of Applied Statistics

Cortical atrophy in presymptomatic Alzheimer's disease presenilin 1 mutation carriers

(2012) Y. T. Quiroz et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach

(2012) Andre F. Marquand et al.   NEUROIMAGE

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

(2012) Graziella Orrù et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Decoding Semi-Constrained Brain Activity from fMRI Using Support Vector Machines and Gaussian Processes

(2012) Jessica Schrouff et al.   PLoS One

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Multimodal classification of Alzheimer's disease and mild cognitive impairment

(2011) Daoqiang Zhang et al.   NEUROIMAGE

Diagnostic neuroimaging across diseases

(2011) Stefan Klöppel et al.   NEUROIMAGE

Model sparsity and brain pattern interpretation of classification models in neuroimaging

(2011) Peter M. Rasmussen et al.   PATTERN RECOGNITION

The benefit of group sparsity

(2010) Junzhou Huang et al.   ANNALS OF STATISTICS

Common neural systems associated with the recognition of famous faces and names: An event-related fMRI study

(2010) Kristy A. Nielson et al.   BRAIN AND COGNITION

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population

(2010) Chris Hinrichs et al.   NEUROIMAGE

Information mapping with pattern classifiers: A comparative study

(2010) Francisco Pereira et al.   NEUROIMAGE

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

(2009) Emilie Gerardin et al.   NEUROIMAGE

PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data

(2009) Michael Hanke et al.   NEUROINFORMATICS

PyMVPA: a unifying approach to the analysis of neuroscientific data

(2009) Michael Hanke   Frontiers in Neuroinformatics

Automated Method for Identification of Patients With Alzheimer’s Disease Based on Three-dimensional MR Images

(2008) Hidetaka Arimura et al.   ACADEMIC RADIOLOGY

A bilateral occipitotemporal network mediates face perception

(2008) Denise A. Minnebusch et al.   BEHAVIOURAL BRAIN RESEARCH

Automatic classification of MR scans in Alzheimer's disease

(2008) S. Kloppel et al.   BRAIN

MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls

(2008) Simon Duchesne et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Machine learning classifiers and fMRI: A tutorial overview

(2008) Francisco Pereira et al.   NEUROIMAGE

Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI

(2008) Benoît Magnin et al.   NEURORADIOLOGY

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

(2007) Cynthia H.Y. Fu et al.   BIOLOGICAL PSYCHIATRY

Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies

(2007) Prashanthi Vemuri et al.   NEUROIMAGE