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Janaina Mourão Miranda
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2020 – today
- 2022
- [j28]Fabio S. Ferreira, Ágoston Mihalik, Rick A. Adams, John Ashburner, Janaina Mourão Miranda:
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets. NeuroImage 249: 118854 (2022) - 2021
- [i3]Fabio S. Ferreira, Ágoston Mihalik, Rick A. Adams, John Ashburner, Janaina Mourão Miranda:
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets. CoRR abs/2103.06845 (2021) - 2020
- [j27]Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok:
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists. NeuroImage 216: 116745 (2020)
2010 – 2019
- 2019
- [j26]Michele Donini, João M. Monteiro, Massimiliano Pontil, Tim Hahn, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda:
Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important. NeuroImage 195: 215-231 (2019) - [c18]André Altmann, Janaina Mourão Miranda:
Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI. ISBI 2019: 275-279 - [c17]Neil P. Oxtoby, Fabio S. Ferreira, Ágoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B. Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Mar Estarellas Garcia, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda:
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. ABCD-NP@MICCAI 2019: 114-123 - [c16]Ágoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby:
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. ABCD-NP@MICCAI 2019: 133-142 - 2018
- [j25]Jessica Schrouff, João M. Monteiro, Liana Catarina Lima Portugal, Maria J. Rosa, Christophe Phillips, Janaina Mourão Miranda:
Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models. Neuroinformatics 16(1): 117-143 (2018) - [c15]Fabio S. Ferreira, Maria J. Rosa, Michael Moutoussis, Ray Dolan, John Shawe-Taylor, John Ashburner, Janaina Mourão Miranda:
Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships. PRNI 2018: 1-4 - [c14]Jessica Schrouff, Janaina Mourão Miranda:
Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense? PRNI 2018: 1-4 - [i2]Jessica Schrouff, Janaina Mourão Miranda:
Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense? CoRR abs/1804.11259 (2018) - [i1]Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok:
Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis. CoRR abs/1812.02598 (2018) - 2017
- [j24]Vince D. Calhoun, Stephen M. Lawrie, Janaina Mourão Miranda, Klaas E. Stephan:
Prediction of Individual Differences from Neuroimaging Data. NeuroImage 145: 135-136 (2017) - [j23]Mireille Nieuwenhuis, Hugo G. Schnack, Neeltje E. M. van Haren, Julia M. Lappin, Craig Morgan, Antje A. Reinders, Diana Tordesillas-Gutierrez, Roberto Roiz-Santiañez, Maristela S. Schaufelberger, Pedro G. Rosa, Marcus V. Zanetti, Geraldo F. Busatto, Benedicto Crespo-Facorro, Patrick D. McGorry, Dennis Velakoulis, Christos Pantelis, Stephen J. Wood, René S. Kahn, Janaina Mourão Miranda, Paola Dazzan:
Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients. NeuroImage 145: 246-253 (2017) - [j22]Orlando Fernandes Junior, Liana Catarina Lima Portugal, Rita de Cássia Soares Alves, Tiago Arruda-Sanchez, Anil Rao, Eliane Volchan, Mirtes Pereira, Leticia de Oliveira, Janaina Mourão Miranda:
Decoding negative affect personality trait from patterns of brain activation to threat stimuli. NeuroImage 145: 337-345 (2017) - [j21]Anil Rao, João M. Monteiro, Janaina Mourão Miranda, Alzheimer's Disease Neuroimaging Initiative:
Predictive modelling using neuroimaging data in the presence of confounds. NeuroImage 150: 23-49 (2017) - 2016
- [c13]Michele Donini, João M. Monteiro, Massimiliano Pontil, John Shawe-Taylor, Janaina Mourão Miranda:
A multimodal multiple kernel learning approach to Alzheimer's disease detection. MLSP 2016: 1-6 - [c12]Anil Rao, João M. Monteiro, Janaina Mourão Miranda:
Prediction of clinical scores from neuroimaging data with censored likelihood gaussian processes. PRNI 2016: 1-4 - 2015
- [j20]Maria J. Rosa, Liana Catarina Lima Portugal, Tim Hahn, Andreas J. Fallgatter, Marta I. Garrido, John Shawe-Taylor, Janaina Mourão Miranda:
Sparse network-based models for patient classification using fMRI. NeuroImage 105: 493-506 (2015) - [c11]Joao M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor, Janaina Mourão Miranda:
Multivariate Effect Ranking via Adaptive Sparse PLS. PRNI 2015: 25-28 - [c10]Anil Rao, Joao M. Monteiro, John Ashburner, Liana Catarina Lima Portugal, Orlando Fernandes Junior, Leticia de Oliveira, Mirtes Pereira, Janaina Mourão Miranda:
A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models. PRNI 2015: 61-64 - [c9]Jessica Schrouff, Christophe Phillips, Josef Parvizi, Janaina Mourão Miranda:
Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions. PRNI 2015: 81-84 - 2014
- [j19]Jane M. Rondina, Tim Hahn, Leticia de Oliveira, Andre F. Marquand, Thomas Dresler, Thomas Leitner, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda:
SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging. IEEE Trans. Medical Imaging 33(1): 85-98 (2014) - [j18]Jane M. Rondina, Tim Hahn, Leticia de Oliveira, Andre F. Marquand, Thomas Dresler, Thomas Leitner, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda:
Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging". IEEE Trans. Medical Imaging 33(3): 794 (2014) - [c8]João M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor, Janaina Mourão Miranda:
Leveraging Clinical Data to Enhance Localization of Brain Atrophy. MLINI@NIPS 2014: 60-68 - [c7]Jessica Schrouff, Brett L. Foster, V. Rangarajan, Christophe Phillips, Janaina Mourão Miranda, Josef Parvizi:
Decoding memory processing from electro-corticography in human posteromedial cortex. PRNI 2014: 1-4 - 2013
- [j17]Jessica Schrouff, Maria J. Rosa, Jane M. Rondina, Andre F. Marquand, Carlton Chu, John Ashburner, Christophe Phillips, Jonas Richiardi, Janaina Mourão Miranda:
PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics 11(3): 319-337 (2013) - [c6]Maria J. Rosa, Liana Catarina Lima Portugal, John Shawe-Taylor, Janaina Mourão Miranda:
Sparse Network-Based Models for Patient Classification Using fMRI. PRNI 2013: 66-69 - [c5]Jessica Schrouff, Julien Crémers, Gaëtan Garraux, Luca Baldassarre, Janaina Mourão Miranda, Christophe Phillips:
Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models. PRNI 2013: 124-127 - [c4]Jane Maryam Rondina, John Shawe-Taylor, Janaina Mourão Miranda:
Stability-Based Multivariate Mapping Using SCoRS. PRNI 2013: 198-202 - 2012
- [j16]Stefan Klöppel, Ahmed Abdulkadir, Clifford R. Jack Jr., Nikolaos Koutsouleris, Janaina Mourão Miranda, Prashanthi Vemuri:
Diagnostic neuroimaging across diseases. NeuroImage 61(2): 457-463 (2012) - [c3]Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil:
Structured Sparsity Models for Brain Decoding from fMRI Data. PRNI 2012: 5-8 - 2011
- [j15]Carlton Chu, Janaina Mourão Miranda, Yu-Chin Chiu, Nikolaus Kriegeskorte, Geoffrey C. Y. Tan, John Ashburner:
Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods. NeuroImage 58(2): 560-571 (2011) - [j14]Janaina Mourão Miranda, David R. Hardoon, Tim Hahn, Andre F. Marquand, Steven C. R. Williams, John Shawe-Taylor, Michael J. Brammer:
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine. NeuroImage 58(3): 793-804 (2011) - [c2]Jane M. Rondina, John Shawe-Taylor, Janaina Mourão Miranda:
A New Feature Selection Method Based on Stability Theory - Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data. MLINI 2011: 51-59 - 2010
- [j13]Christine Ecker, Vanessa Rocha-Rego, Patrick J. Johnston, Janaina Mourão Miranda, Andre F. Marquand, Eileen M. Daly, Michael J. Brammer, Clodagh Murphy, Declan G. M. Murphy:
Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach. NeuroImage 49(1): 44-56 (2010) - [j12]Andre F. Marquand, Matthew Howard, Michael John Brammer, Carlton Chu, Steven Coen, Janaina Mourão Miranda:
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. NeuroImage 49(3): 2178-2189 (2010) - [j11]Claudia Plant, Stefan J. Teipel, Annahita Oswald, Christian Böhm, Thomas Meindl, Janaina Mourão Miranda, Arun L. W. Bokde, Harald Hampel, Michael Ewers:
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease. NeuroImage 50(1): 162-174 (2010)
2000 – 2009
- 2009
- [j10]Janaina Mourão Miranda, Christine Ecker, João Ricardo Sato, Michael J. Brammer:
Dynamic Changes in the Mental Rotation Network Revealed by Pattern Recognition Analysis of fMRI Data. J. Cogn. Neurosci. 21(5): 890-904 (2009) - [j9]João Ricardo Sato, André Fujita, Carlos Eduardo Thomaz, Maria da Graça Morais Martin, Janaina Mourão Miranda, Michael John Brammer, Edson Amaro Júnior:
Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction. NeuroImage 46(1): 105-114 (2009) - [j8]João Ricardo Sato, André Fujita, Carlos Eduardo Thomaz, Maria da Graça Morais Martin, Janaina Mourão Miranda, Michael John Brammer, Edson Amaro Jr.:
Corrigendum to "Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction": [NeuroImage 46 (2009) 105-114]. NeuroImage 47(1): 423-425 (2009) - 2008
- [j7]Karl J. Friston, Carlton Chu, Janaina Mourão Miranda, Oliver J. Hulme, Geraint Rees, Will D. Penny, John Ashburner:
Bayesian decoding of brain images. NeuroImage 39(1): 181-205 (2008) - 2007
- [j6]João Ricardo Sato, André Fujita, Edson Amaro Jr., Janaina Mourão Miranda, Pedro Alberto Morettin, Michael John Brammer:
DWT-CEM: an algorithm for scale-temporal clustering in fMRI. Biol. Cybern. 97(1): 33-45 (2007) - [j5]Janaina Mourão Miranda, Karl J. Friston, Michael John Brammer:
Dynamic discrimination analysis: A spatial-temporal SVM. NeuroImage 36(1): 88-99 (2007) - [j4]David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor:
Unsupervised analysis of fMRI data using kernel canonical correlation. NeuroImage 37(4): 1250-1259 (2007) - [c1]David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor:
Using Image Stimuli to Drive fMRI Analysis. ICONIP (1) 2007: 477-486 - 2006
- [j3]Janaina Mourão Miranda, Emanuelle Reynaud, Francis McGlone, Gemma A. Calvert, Michael J. Brammer:
The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data. NeuroImage 33(4): 1055-1065 (2006) - 2005
- [j2]Janaina Mourão Miranda, Arun L. W. Bokde, Christine Born, Harald Hampel, Martin Stetter:
Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data. NeuroImage 28(4): 980-995 (2005) - 2003
- [j1]Janaina Mourão Miranda, Eliane Volchan, Jorge Moll, Ricardo de Oliveira-Souza, Leticia de Oliveira, Ivanei E. Bramati, Ricardo Gattass, Luiz Pessoa:
Contributions of stimulus valence and arousal to visual activation during emotional perception. NeuroImage 20(4): 1955-1963 (2003)
Coauthor Index
aka: Michael John Brammer
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