J. Miranda

发表

Unsupervised analysis of fMRI data using kernel canonical correlation

Janaina Mourão Miranda, Michael J. Brammer, David R. Hardoon, 2007, NeuroImage.

Dynamic discrimination analysis: A spatial–temporal SVM

Karl J. Friston, Janaina Mourão Miranda, Michael J. Brammer, 2007, NeuroImage.

Diagnostic neuroimaging across diseases

Clifford R. Jack, Stefan Klöppel, Janaina Mourão Miranda, 2011, NeuroImage.

Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients

Janaina Mourão Miranda, René S. Kahn, Dennis Velakoulis, 2017, NeuroImage.

PRoNTo: Pattern Recognition for Neuroimaging Toolbox

Janaina Mourão Miranda, Christophe Phillips, Jonas Richiardi, 2013, Neuroinformatics.

Bayesian decoding of brain images

Karl J. Friston, Geraint Rees, William D. Penny, 2008, NeuroImage.

Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach

Janaina Mourão Miranda, Declan G. M. Murphy, Michael J. Brammer, 2010, NeuroImage.

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists

Hao-Ting Wang, Danilo Bzdok, Janaina Mourão Miranda, 2020, NeuroImage.

Sparse network-based models for patient classification using fMRI

John Shawe-Taylor, Marta I. Garrido, Janaina Mourão Miranda, 2013, NeuroImage.

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

Christian Böhm, Janaina Mourão Miranda, Stefan J. Teipel, 2010, NeuroImage.

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

Janaina Mourão Miranda, Michael J. Brammer, David R. Hardoon, 2011, NeuroImage.

Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data

Janaina Mourão Miranda, Martin Stetter, Harald Hampel, 2005, NeuroImage.

Dynamic Changes in the Mental Rotation Network Revealed by Pattern Recognition Analysis of fMRI Data

João Ricardo Sato, Janaina Mourão Miranda, Michael J. Brammer, 2009, Journal of Cognitive Neuroscience.

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

Janaina Mourão Miranda, Christophe Phillips, Maria J. Rosa, 2018, Neuroinformatics.

Contributions of stimulus valence and arousal to visual activation during emotional perception

Janaina Mourão Miranda, Eliane Volchan, Ricardo Gattass, 2003, NeuroImage.

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

John Shawe-Taylor, Janaina Mourão Miranda, Andreas J. Fallgatter, 2014, IEEE Transactions on Medical Imaging.

Predictive modelling using neuroimaging data in the presence of confounds

Janaina Mourão Miranda, Anil Rao, Alzheimer's Disease Neuroimaging Initiative, 2017, NeuroImage.

Structured Sparsity Models for Brain Decoding from fMRI Data

Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods

Janaina Mourão Miranda, John Ashburner, Nikolaus Kriegeskorte, 2011, NeuroImage.

Using Image Stimuli to Drive fMRI Analysis

Janaina Mourão Miranda, Michael J. Brammer, David R. Hardoon, 2007, ICONIP.

The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data

Janaina Mourão Miranda, Michael J. Brammer, Emanuelle Reynaud, 2006, NeuroImage.

Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction

Carlos E. Thomaz, João Ricardo Sato, André Fujita, 2009, NeuroImage.

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

Janaina Mourão Miranda, Michael J. Brammer, Andre F. Marquand, 2010, NeuroImage.

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology

Janaina Mourão Miranda, Maria Robu, Stefano B. Blumberg, 2019, ABCD-NP@MICCAI.

Decoding negative affect personality trait from patterns of brain activation to threat stimuli

Janaina Mourão Miranda, Anil Rao, Liana Catarina Lima Portugal, 2017, NeuroImage.

DWT–CEM: an algorithm for scale-temporal clustering in fMRI

João Ricardo Sato, Janaina Mourão Miranda, Edson Amaro Júnior, 2007, Biological Cybernetics.

Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis pdf

Hao-Ting Wang, Danilo Bzdok, Janaina Mourão Miranda, 2018, ArXiv.

Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models

Luca Baldassarre, Janaina Mourão Miranda, Christophe Phillips, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression

Janaina Mourão Miranda, Maria Robu, Stefano B. Blumberg, 2019, ABCD-NP@MICCAI.

A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models

Janaina Mourão Miranda, John Ashburner, Anil Rao, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important

John Shawe-Taylor, Janaina Mourão Miranda, Massimiliano Pontil, 2018, NeuroImage.

Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?

Janaina Mourão Miranda, Jessica Schrouff, J. Miranda, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

A New Feature Selection Method Based on Stability Theory - Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data

John Shawe-Taylor, Janaina Mourão Miranda, Jane M. Rondina, 2011, MLINI.

Prediction of Individual Differences from Neuroimaging Data

Vince D. Calhoun, Klaas E. Stephan, Janaina Mourão Miranda, 2017, NeuroImage.

A multimodal multiple kernel learning approach to Alzheimer's disease detection

John Shawe-Taylor, Janaina Mourão Miranda, Massimiliano Pontil, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

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

M. Brammer, J. Miranda, A. Marquand, 2010, NeuroImage.

Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging"

John Shawe-Taylor, Janaina Mourão Miranda, Andreas J. Fallgatter, 2014, IEEE Trans. Medical Imaging.

Leveraging Clinical Data to Enhance Localization of Brain Atrophy

John Shawe-Taylor, Janaina Mourão Miranda, John Ashburner, 2014, MLINI@NIPS.

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists

D. Bassett, J. Miranda, J. Smallwood, 2020, NeuroImage.