| A tutorial on canonical correlation methods V Uurtio, JM Monteiro, J Kandola, J Shawe-Taylor, D Fernandez-Reyes, ... ACM Computing Surveys (CSUR) 50 (6), 1-33, 2017 | 146 | 2017 |
| Predictive Modelling using Neuroimaging Data in the Presence of Confounds A Rao, JM Monteiro, J Mourao-Miranda NeuroImage, 2017 | 133 | 2017 |
| Extracting relational explanations from deep neural networks: A survey from a neural-symbolic perspective J Townsend, T Chaton, JM Monteiro IEEE transactions on neural networks and learning systems 31 (9), 3456-3470, 2019 | 82 | 2019 |
| Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models J Schrouff, JM Monteiro, L Portugal, MJ Rosa, C Phillips, ... Neuroinformatics, 1-27, 2018 | 69 | 2018 |
| A multiple hold-out framework for sparse partial least squares JM Monteiro, A Rao, J Shawe-Taylor, J Mourao-Miranda, ... Journal of neuroscience methods 271, 182-194, 2016 | 68 | 2016 |
| Brain-behaviour modes of covariation in healthy and clinically depressed young people A Mihalik, FS Ferreira, MJ Rosa, M Moutoussis, G Ziegler, JM Monteiro, ... Scientific reports 9 (1), 11536, 2019 | 43 | 2019 |
| Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important M Donini, JM Monteiro, M Pontil, T Hahn, AJ Fallgatter, J Shawe-Taylor, ... Neuroimage 195, 215-231, 2019 | 21 | 2019 |
| A multimodal multiple kernel learning approach to Alzheimer's disease detection M Donini, JM Monteiro, M Pontil, J Shawe-Taylor, J Mourao-Miranda 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 20 | 2016 |
| A comparison of strategies for incorporating nuisance variables into predictive neuroimaging models A Rao, JM Monteiro, J Ashburner, L Portugal, O Fernandes, L De Oliveira, ... 2015 international workshop on pattern recognition in neuroimaging, 61-64, 2015 | 11 | 2015 |
| Can we interpret linear kernel machine learning models using anatomically labelled regions? J Schrouff, J Monteiro, M Joao Rosa, L Portugal, C Phillips, ... Organization for Human Brain Mapping, 2014 | 10 | 2014 |
| Leveraging clinical data to enhance localization of brain atrophy JM Monteiro, A Rao, J Ashburner, J Shawe-Taylor, J Mourão-Miranda International Workshop on Machine Learning and Interpretation in …, 2014 | 5 | 2014 |
| Multivariate effect ranking via adaptive sparse PLS JM Monteiro, A Rao, J Ashburner, J Shawe-Taylor, J Mourao-Miranda 2015 International Workshop on Pattern Recognition in NeuroImaging, 25-28, 2015 | 4 | 2015 |
| Prediction of clinical scores from neuroimaging data with censored likelihood Gaussian processes A Rao, J Monteiro, J Mourao-Miranda 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016 | 2 | 2016 |
| The PRoNTo Development Group J Ashburner, C Chu, A Marquand, J Mourao-Miranda, JM Monteiro, ... | 1 | 2015 |
| Review on digital breast tomosynthesis patents J Monteiro, A Ribeiro, L Luis Recent Patents on Biomedical Engineering (Discontinued) 5 (2), 175-182, 2012 | 1 | 2012 |
| Exploring the latent space between brain and behaviour using eigen-decomposition methods JM Monteiro UCL (University College London), 2017 | | 2017 |
