Janaina Mourão Miranda

54 papers Journal 36Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpretable generative and discriminative learning for multimodal and incomplete clinical data. Inf. Fusion Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Janaina Mourão Miranda, Vanessa Gómez-Verdejo
2025	J	`jnl`	Elastic-Net Multiple Kernel Learning: Combining Multiple Data Sources for Prediction. CoRR Janaina Mourão Miranda, Zakria Hussain, Konstantinos Tsirlis, Christophe Phillips, John Shawe-Taylor
2025	J	`jnl`	Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data. CoRR Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Janaina Mourão Miranda, Vanessa Gómez-Verdejo
2024	J	`jnl`	Identifying latent disease factors differently expressed in patient subgroups using group factor analysis. CoRR Fabio S. Ferreira, John Ashburner, Arabella Bouzigues, Chatrin Suksasilp, Lucy L. Russell, Phoebe H. Foster, Eve Ferry-Bolder, John C. van Swieten, Lize C. Jiskoot, Harro Seelaar, Raquel Sánchez-Valle, Robert Laforce, Caroline Graff, Daniela Galimberti, Rik Vandenberghe, Alexandre de Mendonça, Pietro Tiraboschi, Isabel Santana, Alexander Gerhard, Johannes Levin, Sandro Sorbi, Markus Otto, Florence Pasquier, Simon Ducharme, Chris R. Butler, Isabelle Le Ber, Elizabeth C. Finger, Maria C. Tartaglia, Mario Masellis, James B. Rowe, Matthis Synofzik, Fermin Moreno, Barbara Borroni, Samuel Kaski, Jonathan D. Rohrer, Janaina Mourão Miranda
2022	J	`jnl`	A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets. NeuroImage Fabio S. Ferreira, Ágoston Mihalik, Rick A. Adams, John Ashburner, Janaina Mourão Miranda
2022	J	`jnl`	TransductGAN: a Transductive Adversarial Model for Novelty Detection. CoRR Najiba Toron, Janaina Mourão Miranda, John Shawe-Taylor
2021	J	`jnl`	A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets. CoRR Fabio S. Ferreira, Ágoston Mihalik, Rick A. Adams, John Ashburner, Janaina Mourão Miranda
2020	J	`jnl`	Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists. NeuroImage Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok
2019	—	`conf`	ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. ABCD-NP@MICCAI 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
2019	—	`conf`	ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. ABCD-NP@MICCAI 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
2019	J	`jnl`	Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important. NeuroImage Michele Donini, João M. Monteiro, Massimiliano Pontil, Tim Hahn, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda
2019	—	`conf`	Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI. ISBI André Altmann, Janaina Mourão Miranda
2018	J	`jnl`	Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models. Neuroinformatics Jessica Schrouff, João M. Monteiro, Liana Catarina Lima Portugal, Maria João Duarte Rosa, Christophe Phillips, Janaina Mourão Miranda
2018	J	`jnl`	Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis. CoRR Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok
2018	—	`conf`	Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense? PRNI Jessica Schrouff, Janaina Mourão Miranda
2018	J	`jnl`	Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense? CoRR Jessica Schrouff, Janaina Mourão Miranda
2018	—	`conf`	Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships. PRNI Fabio S. Ferreira, Maria João Duarte Rosa, Michael Moutoussis, Ray Dolan, John Shawe-Taylor, John Ashburner, Janaina Mourão Miranda
2017	J	`jnl`	Decoding negative affect personality trait from patterns of brain activation to threat stimuli. NeuroImage 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
2017	J	`jnl`	Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients. NeuroImage 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 Filho Bussato, Benedicto Crespo-Facorro, Patrick D. McGorry, Dennis Velakoulis, Christos Pantelis, Stephen J. Wood, René S. Kahn, Janaina Mourão Miranda, Paola Dazzan
2017	J	`jnl`	Prediction of Individual Differences from Neuroimaging Data. NeuroImage Vince D. Calhoun, Stephen M. Lawrie, Janaina Mourão Miranda, Klaas E. Stephan
2017	J	`jnl`	Predictive modelling using neuroimaging data in the presence of confounds. NeuroImage Anil Rao, João M. Monteiro, Janaina Mourão Miranda, Alzheimer's Disease Neuroimaging Initiative
2016	—	`conf`	A multimodal multiple kernel learning approach to Alzheimer's disease detection. MLSP Michele Donini, João M. Monteiro, Massimiliano Pontil, John Shawe-Taylor, Janaina Mourão Miranda
2016	—	`conf`	Prediction of clinical scores from neuroimaging data with censored likelihood gaussian processes. PRNI Anil Rao, João M. Monteiro, Janaina Mourão Miranda
2015	—	`conf`	A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models. PRNI Anil Rao, Joao M. Monteiro, John Ashburner, Liana Catarina Lima Portugal, Orlando Fernandes Junior, Leticia de Oliveira, Mirtes Pereira, Janaina Mourão Miranda
2015	—	`conf`	Multivariate Effect Ranking via Adaptive Sparse PLS. PRNI Joao M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor, Janaina Mourão Miranda
2015	—	`conf`	Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions. PRNI Jessica Schrouff, Christophe Phillips, Josef Parvizi, Janaina Mourão Miranda
2015	J	`jnl`	Sparse network-based models for patient classification using fMRI. NeuroImage Maria João Duarte Rosa, Liana Catarina Lima Portugal, Tim Hahn, Andreas J. Fallgatter, Marta I. Garrido, John Shawe-Taylor, Janaina Mourão Miranda
2014	J	`jnl`	Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging". IEEE Trans. Medical Imaging Jane M. Rondina, Tim Hahn, Leticia de Oliveira, Andre F. Marquand, Thomas Dresler, Thomas Leitner, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda
2014	—	`conf`	Decoding memory processing from electro-corticography in human posteromedial cortex. PRNI Jessica Schrouff, Brett L. Foster, V. Rangarajan, Christophe Phillips, Janaina Mourão Miranda, Josef Parvizi
2014	—	`conf`	Leveraging Clinical Data to Enhance Localization of Brain Atrophy. MLINI@NIPS João M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor, Janaina Mourão Miranda
2014	J	`jnl`	SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging. IEEE Trans. Medical Imaging Jane M. Rondina, Tim Hahn, Leticia de Oliveira, Andre F. Marquand, Thomas Dresler, Thomas Leitner, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda
2013	—	`conf`	Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models. PRNI Jessica Schrouff, Julien Crémers, Gaëtan Garraux, Luca Baldassarre, Janaina Mourão Miranda, Christophe Phillips
2013	J	`jnl`	PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics Jessica Schrouff, Maria João Duarte Rosa, Jane M. Rondina, Andre F. Marquand, Carlton Chu, John Ashburner, Christophe Phillips, Jonas Richiardi, Janaina Mourão Miranda
2013	—	`conf`	Sparse Network-Based Models for Patient Classification Using fMRI. PRNI Maria João Duarte Rosa, Liana Catarina Lima Portugal, John Shawe-Taylor, Janaina Mourão Miranda
2013	—	`conf`	Stability-Based Multivariate Mapping Using SCoRS. PRNI Jane Maryam Rondina, John Shawe-Taylor, Janaina Mourão Miranda
2012	J	`jnl`	Diagnostic neuroimaging across diseases. NeuroImage Stefan Klöppel, Ahmed Abdulkadir, Clifford R. Jack Jr., Nikolaos Koutsouleris, Janaina Mourão Miranda, Prashanthi Vemuri
2012	—	`conf`	Structured Sparsity Models for Brain Decoding from fMRI Data. PRNI Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil
2011	—	`conf`	A New Feature Selection Method Based on Stability Theory - Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data. MLINI Jane M. Rondina, John Shawe-Taylor, Janaina Mourão Miranda
2011	J	`jnl`	Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine. NeuroImage Janaina Mourão Miranda, David R. Hardoon, Tim Hahn, Andre F. Marquand, Steven C. R. Williams, John Shawe-Taylor, Michael J. Brammer
2011	J	`jnl`	Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods. NeuroImage Carlton Chu, Janaina Mourão Miranda, Yu-Chin Chiu, Nikolaus Kriegeskorte, Geoffrey C. Y. Tan, John Ashburner
2010	J	`jnl`	Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease. NeuroImage Claudia Plant, Stefan J. Teipel, Annahita Oswald, Christian Böhm, Thomas Meindl, Janaina Mourão Miranda, Arun L. W. Bokde, Harald Hampel, Michael Ewers
2010	J	`jnl`	Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach. NeuroImage 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
2010	J	`jnl`	Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. NeuroImage Andre F. Marquand, Matthew Howard, Michael John Brammer, Carlton Chu, Steven Coen, Janaina Mourão Miranda
2009	J	`jnl`	Corrigendum to "Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction": [NeuroImage 46 (2009) 105-114]. NeuroImage João Ricardo Sato, André Fujita, Carlos Eduardo Thomaz, Maria da Graça Morais Martin, Janaina Mourão Miranda, Michael John Brammer, Edson Amaro Jr.
2009	J	`jnl`	Dynamic Changes in the Mental Rotation Network Revealed by Pattern Recognition Analysis of fMRI Data. J. Cogn. Neurosci. Janaina Mourão Miranda, Christine Ecker, João Ricardo Sato, Michael J. Brammer
2009	J	`jnl`	Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction. NeuroImage João Ricardo Sato, André Fujita, Carlos Eduardo Thomaz, Maria da Graça Morais Martin, Janaina Mourão Miranda, Michael John Brammer, Edson Amaro Júnior
2008	J	`jnl`	Bayesian decoding of brain images. NeuroImage Karl J. Friston, Carlton Chu, Janaina Mourão Miranda, Oliver J. Hulme, Geraint Rees, Will D. Penny, John Ashburner
2007	J	`jnl`	DWT-CEM: an algorithm for scale-temporal clustering in fMRI. Biol. Cybern. João Ricardo Sato, André Fujita, Edson Amaro Jr., Janaina Mourão Miranda, Pedro Alberto Morettin, Michael John Brammer
2007	J	`jnl`	Dynamic discrimination analysis: A spatial-temporal SVM. NeuroImage Janaina Mourão Miranda, Karl J. Friston, Michael John Brammer
2007	J	`jnl`	Unsupervised analysis of fMRI data using kernel canonical correlation. NeuroImage David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor
2007	—	`conf`	Using Image Stimuli to Drive fMRI Analysis. ICONIP (1) David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor
2006	J	`jnl`	The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data. NeuroImage Janaina Mourão Miranda, Emanuelle Reynaud, Francis McGlone, Gemma A. Calvert, Michael J. Brammer
2005	J	`jnl`	Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data. NeuroImage Janaina Mourão Miranda, Arun L. W. Bokde, Christine Born, Harald Hampel, Martin Stetter
2003	J	`jnl`	Contributions of stimulus valence and arousal to visual activation during emotional perception. NeuroImage Janaina Mourão Miranda, Eliane Volchan, Jorge Moll, Ricardo de Oliveira-Souza, Leticia de Oliveira, Ivanei E. Bramati, Ricardo Gattass, Luiz Pessoa