MANIA—A Pattern Classification Toolbox for Neuroimaging Data

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Neuroinformatics

• Publication date

  2014-03-28

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1007/s12021-014-9223-8PMID 24676797
• 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.

• Gene Selection for Cancer Classification using Support Vector Machines

  2014cited by this paper
• Amygdala excitability to subliminally presented emotional faces distinguishes unipolar and bipolar depression: An fMRI and pattern classification study

  2014cited by this paper
• Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: a pilot study

  2013cited by this paper
• Pattern classification of brain activation during emotional processing in subclinical depression: psychosis proneness as potential confounding factor

  2013cited by this paper
• Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†

  2013cited by this paper
• PRoNTo: Pattern Recognition for Neuroimaging Toolbox

  2013cited by this paper
• Baseline activity predicts working memory load of preceding task condition

  2013cited by this paper
• A WEKA Interface for fMRI Data

  2012cited by this paper
• Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression

  2012cited by this paper
• Pattern Recognition and Functional Neuroimaging Help to Discriminate Healthy Adolescents at Risk for Mood Disorders from Low Risk Adolescents

  2012cited by this paper
• Insights into multimodal imaging classification of ADHD

  2012cited by this paper
• Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers

  2011cited by this paper
• Exploring the Factors Contributing to Sibling Correlations in BMI: A Study Using the Panel Study of Income Dynamics

  2011cited by this paper
• Scikit-learn: Machine Learning in Python

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

  2011cited by this paper
• Gaussian Processes for Machine Learning (GPML) Toolbox

  2010cited by this paper
• Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes

  2010cited by this paper
• Integrating neurobiological markers of depression.

  2010cited by this paper
• Random Subspace Ensembles for fMRI Classification

  2010cited by this paper
• Sparse logistic regression for whole-brain classification of fMRI data

  2010cited by this paper
• Effective functional mapping of fMRI data with support‐vector machines

  2010cited by this paper
• Insights into the classification of small GTPases

  2010cited by this paper
• Classifier ensembles for fMRI data analysis: an experiment.

  2010cited by this paper
• Recursive Cluster Elimination Based Support Vector Machine for Disease State Prediction Using Resting State Functional and Effective Brain Connectivity

  2010cited by this paper
• PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data

  2009cited by this paper
• Correlation-based multivariate analysis of genetic influence on brain volume.

  2009cited by this paper
• Disease state prediction from resting state functional connectivity

  2009cited by this paper
• Genetic variation in components of dopamine neurotransmission impacts ventral striatal reactivity associated with impulsivity

  2009cited by this paper
• Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction

  2009cited by this paper
• The WEKA data mining software: an update

  2009cited by this paper
• Circular analysis in systems neuroscience: the dangers of double dipping

  2009cited by this paper
• Machine learning classifiers and fMRI: A tutorial overview

  2009cited by this paper
• Using fMRI Brain Activation to Identify Cognitive States Associated with Perception of Tools and Dwellings

  2008cited by this paper
• LIBLINEAR: A Library for Large Linear Classification

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

  2008cited by this paper
• Pattern classification of sad facial processing: toward the development of neurobiological markers in depression.

  2008cited by this paper
• A review of feature selection techniques in bioinformatics

  2007cited by this paper
• Dynamic discrimination analysis: A spatial-temporal SVM

  2007cited by this paper
• Information-based functional brain mapping.

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

  2006cited by this paper
• Decoding seen and attended motion directions from activity in the human visual cortex.

  2006cited by this paper
• Improving the Performance of SVM-RFE to Select Genes in Microarray Data

  2006cited by this paper
• The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data

  2006cited by this paper
• Decoding near-threshold perception of fear from distributed single-trial brain activation.

  2006cited by this paper
• Telling truth from lie in individual subjects with fast event‐related fMRI

  2005cited by this paper
• Combining Pattern Classifiers: Methods and Algorithms

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

  2005cited by this paper
• Category-Specific Cortical Activity Precedes Retrieval During Memory Search

  2005cited by this paper
• Support vector machines for temporal classification of block design fMRI data

  2005cited by this paper
• Combining Pattern Classifiers: Methods and Algorithms

  2004cited by this paper
• Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a "face" area?

  2004cited by this paper
• Functional magnetic resonance imaging

  2004cited by this paper
• Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF

  2004cited by this paper
• Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects

  2003cited by this paper
• Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex

  2003cited by this paper
• Functional Magnetic Resonance Imaging (fMRI)

  2002cited by this paper
• Imputing Missing Data for Gene Expression Arrays

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

  2001cited by this paper
• Advances in Kernel Methods - Support Vector Learning

  1999cited by this paper
• Making large scale SVM learning practical

  1998cited by this paper
• SKID I. Strukturiertes Klinisches Interview für DSM-IV. Achse I: Psychische Störungen. Interviewheft und Beurteilungsheft. Eine deutschsprachige, erweiterte Bearb. d. amerikanischen Originalversion des SKID I

  1997cited by this paper
• Bagging Predictors

  1996cited by this paper
• Support Vector Regression Machines

  1996cited by this paper
• Magnetic resonance imaging (2)

  1993cited by this paper
• Boosting a weak learning algorithm by majority

  1990cited by this paper
• The meaning and use of the area under a receiver operating characteristic (ROC) curve.

  1982cited by this paper
• Monocular 3 D tracking of deformable surfaces using sequential second order cone programming

  1979cited by this paper

• MatClassRSA v2 release: A MATLAB toolbox for M/EEG classification, proximity matrix construction, and visualization

  2025cites this paper
• ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI

  2024cites this paper
• aXonica: A support package for MRI based Neuroimaging

  2024cites this paper
• A study of tools, techniques and language for the implementation of algorithm for brain tumor detection

  2023cites this paper
• Machine Learning for Detecting Parkinson’s Disease by Resting-State Functional Magnetic Resonance Imaging: A Multicenter Radiomics Analysis

  2022cites this paper
• Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer

  2021cites this paper
• Review of Machine Learning Classifier Toolbox of Neuroimaging Data

  2020cites this paper
• MVPANI: A Toolkit With Friendly Graphical User Interface for Multivariate Pattern Analysis of Neuroimaging Data

  2020cites this paper
• Investigating the effect of changing parameters when building prediction models for post-stroke aphasia

  2020cites this paper
• Frequency-Specific Changes of Resting Brain Activity in Parkinson's Disease: A Machine Learning Approach.

  2020cites this paper
• Theranostic markers for personalized therapy of spider phobia: Methods of a bicentric external cross‐validation machine learning approach

  2019cites this paper
• A Multi-Featured Analysis for Body Sensor Networks-based Affective Actions Recognition

  2019cites this paper
• Intrinsic frequency specific brain networks for identification of MCI individuals using resting-state fMRI.

  2018cites this paper
• QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis

  2018cites this paper
• Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models

  2018influential citation
• UvA-DARE ( Digital Academic Repository ) Bipolar or unipolar ? A brain teasing question

  2017cites this paper
• Plasticity in deep and superficial white matter: a DTI study in world class gymnasts

  2017cites this paper
• Differential Abnormal Pattern of Anterior Cingulate Gyrus Activation in Unipolar and Bipolar Depression : an fMRI and Pattern Classification Approach

  2017cites this paper
• Support Vector Machine Analysis of Functional Magnetic Resonance Imaging of Interoception Does Not Reliably Predict Individual Outcomes of Cognitive Behavioral Therapy in Panic Disorder with Agoraphobia

  2017influential citation
• Differential Abnormal Pattern of Anterior Cingulate Gyrus Activation in Unipolar and Bipolar Depression: an fMRI and Pattern Classification Approach

  2017cites this paper
• MatClassRSA: A Matlab toolbox for M/EEG classification and visualization of proximity matrices

  2017cites this paper
• Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.

  2016cites this paper
• CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave

  2016cites this paper
• The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data

  2015cites this paper
• Differing brain structural correlates of familial and environmental risk for major depressive disorder revealed by a combined VBM/pattern recognition approach

  2015cites this paper
• Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach.

  2014cites this paper