Publications of Janaina Mourao-Miranda

Journal Article (15)

2017
Journal Article
Baldassarre, L., Pontil, M., & Mourao-Miranda, J. (2017). Sparsity is better with stability: Combining accuracy and stability for model selection in brain decoding. Frontiers in Neuroscience, 11, Article 62. https://doi.org/10.3389/fnins.2017.00062
Journal Article
Fernandes Jr., O., Portugal, L. C. L., Alves, R. de C. S., Arruda-Sanchez, T., Rao, A., Volchan, E., Pereira, M., Oliveira, L., & Mourao-Miranda, J. (2017). Decoding negative affect personality trait from patterns of brain activation to threat stimuli. NeuroImage, 145(PartB), 337–345. https://doi.org/10.1016/j.neuroimage.2015.12.050
Journal Article
Nieuwenhuis, M., Schnack, H. G., van Haren, N. E., Lappin, J., Morgan, C., Reinders, A. A., Gutierrez-Tordesillas, D., Roiz-Santianez, R., Schaufelberger, M. S., Rosa, P. G., Zanetti, M. V., Busatto, G. F., Crespo-Facorro, B., McGorry, P. D., Velakoulis, D., Pantelis, C., Wood, S. J., Kahn, R. S., Mourao-Miranda, J., & Dazzan, P. (2017). Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients. NeuroImage, 145(PartB), 246–253. https://doi.org/10.1016/j.neuroimage.2016.07.027
Journal Article
Rao, A., Monteiro, J. M., & Mourao-Miranda, J. (2017). Predictive modelling using neuroimaging data in the presence of confounds. NeuroImage, 150, 23–49. https://doi.org/10.1016/j.neuroimage.2017.01.066
2016
Journal Article
Monteiro, J. M., Rao, A., Shawe-Taylor, J., & Mourão-Miranda, J. (2016). A multiple hold-out framework for Sparse Partial Least Squares. Journal of Neuroscience Methods, 271, 182–194. https://doi.org/10.1016/j.jneumeth.2016.06.011

Conference Paper (4)

2019
Conference Paper
Altmann, A., & Mourao-Miranda, J. (2019). Evidence for bias of genetic ancestry in resting functional MRI. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 275–279). IEEE. https://doi.org/10.1109/ISBI.2019.8759284
Conference Paper
Mihalik, A., Brudfors, M., Robu, M., Ferreira, F. S., Lin, H., Rau, A., Wu, T., Blumberg, S. B., Kanber, B., Tariq, M., Garcia, M. E., Zor, C., Nikitichev, D. I., Mourão-Miranda, J., & Oxtoby, N. P. (2019). ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and Kernel ridge regression. In K. M. Pohl, W. K. Thompson, E. Adeli, & M. G. Linguraru (Eds.), Adolescent brain cognitive development neurocognitive prediction (pp. 133–142). Springer. https://doi.org/10.1007/978-3-030-31901-4_16
Conference Paper
Oxtoby, N. P., Ferreira, F. S., Mihalik, A., Wu, T., Brudfors, M., Lin, H., Rau, A., Blumberg, S. B., Robu, M., Zor, C., Tariq, M., Garcia, M. E., Kanber, B., Nikitichev, D. I., & Mourão-Miranda, J. (2019). ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology. In K. M. Pohl, W. K. Thompson, E. Adeli, & M. G. Linguraru (Eds.), Adolescent brain cognitive development neurocognitive prediction (pp. 114–123). Springer. https://doi.org/10.1007/978-3-030-31901-4_14
2018
Conference Paper
Ferreira, F. S., Rosa, M. J., Moutoussis, M., Dolan, R. J., Shawe-Taylor, J., Ashburner, J., & Mourao-Miranda, J. (2018). Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships. In 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 12-14 June 2018, Singapore (pp. 1–4). https://doi.org/10.1109/PRNI.2018.8423947
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