| Self-organizing neuro-fuzzy inference system H Allende-Cid, A Veloz, R Salas, S Chabert, H Allende Iberoamerican Congress on Pattern Recognition, 429-436, 2008 | 20 | 2008 |
| Study protocol and rationale of the “Cogni-action project” a cross-sectional and randomized controlled trial about physical activity, brain health, cognition, and educational … P Solis-Urra, J Olivares-Arancibia, E Suarez-Cadenas, ... BMC pediatrics 19 (1), 1-16, 2019 | 18 | 2019 |
| Fuzzy spatial growing for glioblastoma multiforme segmentation on brain magnetic resonance imaging A Veloz, S Chabert, R Salas, A Orellana, J Vielma Iberoamerican Congress on Pattern Recognition, 861-870, 2007 | 14 | 2007 |
| Modified expectation maximization algorithm for MRI segmentation R Donoso, A Veloz, H Allende Iberoamerican Congress on Pattern Recognition, 63-70, 2010 | 13 | 2010 |
| Applying machine learning and image feature extraction techniques to the problem of cerebral aneurysm rupture S Chabert, T Mardones, R Riveros, M Godoy, A Veloz, R Salas, P Cox Research Ideas and Outcomes 3, e11731, 2017 | 12 | 2017 |
| Identification of lags in nonlinear autoregressive time series using a flexible fuzzy model A Veloz, R Salas, H Allende-Cid, H Allende, C Moraga Neural Processing Letters 43 (3), 641-666, 2016 | 12 | 2016 |
| Brain Tumors: ow Can Images and Segmentation Techniques elp? A Veloz, A Orellana, J Vielma, R Salas, S Chabert Diagnostic Techniques and Surgical Management of Brain Tumors, 67, 2011 | 11 | 2011 |
| Impact of b-value sampling scheme on brain IVIM parameter estimation in healthy subjects S Chabert, J Verdu, G Huerta, C Montalba, P Cox, R Riveros, S Uribe, ... Magnetic Resonance in Medical Sciences, mp. 2019-0061, 2019 | 10 | 2019 |
| SONFIS: structure identification and modeling with a self-organizing neuro-fuzzy inference system H Allende-Cid, R Salas, A Veloz, C Moraga, H Allende International Journal of Computational Intelligence Systems 9 (3), 416-432, 2016 | 7 | 2016 |
| Improving multiple sclerosis lesion boundaries segmentation by convolutional neural networks with focal learning G Ulloa, A Veloz, H Allende-Cid, H Allende International Conference on Image Analysis and Recognition, 182-192, 2020 | 4 | 2020 |
| Photoplethysmogram fits finger blood pressure waveform for non-invasive and minimally-intrusive technologies-evaluation of derivative approaches G Tapia, M Salinas, J Plaza, D Mellado, R Salas, C Saavedra, A Veloz, ... International Conference on Bio-inspired Systems and Signal Processing 5 …, 2017 | 4 | 2017 |
| Neuro-fuzzy-based arrhythmia classification using heart rate variability features F Ramírez, H Allende-Cid, A Veloz, H Allende 2010 XXIX International Conference of the Chilean Computer Science Society …, 2010 | 4 | 2010 |
| Image Quality Assessment to Emulate Experts’ Perception in Lumbar MRI Using Machine Learning S Chabert, JS Castro, L Muñoz, P Cox, R Riveros, J Vielma, G Huerta, ... Applied Sciences 11 (14), 6616, 2021 | 3 | 2021 |
| Ant colony clustering for ROI identification in functional magnetic resonance imaging A Veloz, A Weinstein, S Pszczolkowski, L Hernández-García, R Olivares, ... Computational Intelligence and Neuroscience 2019, 2019 | 3 | 2019 |
| Sifar: Self-identification of lags of an autoregressive tsk-based model A Veloz, R Salas, H Allende-Cid, H Allende 2012 IEEE 42nd International Symposium on Multiple-Valued Logic, 226-231, 2012 | 3 | 2012 |
| A flexible neuro-fuzzy autoregressive technique for non-linear time series forecasting A Veloz, H Allende-Cid, H Allende, C Moraga, R Salas International Conference on Knowledge-Based and Intelligent Information and …, 2009 | 3 | 2009 |
| Fuzzy general linear modeling for functional magnetic resonance imaging analysis A Veloz, C Moraga, A Weinstein, L Hernández-García, S Chabert, R Salas, ... IEEE Transactions on Fuzzy Systems 28 (1), 100-111, 2019 | 2 | 2019 |
| An Out of Sample version of the EM algorithm for imputing missing values in Classification S Campos, A Veloz, H Allende Iberoamerican Congress on Pattern Recognition, 194-202, 2018 | 2 | 2018 |
| Incremental ensemble of deep learning with pseudorehearsal D Mellado, R Salas, S Chabert, A Veloz, C Saavedra II Latin American Conference on Statistical Computing, Valparaiso, Chile, 2017 | 2 | 2017 |
| Proposal to innovate arterial pressure evaluation using a non-invasive and minimally-intrusive (nimi) methods base upon photopletysmography and machine learning M Salinas, J Plaza, G Tapia, R Salas, C Saavedra, A Veloz, A Arriola, ... 5th European Conference BMEidea Biomedical Engineering Innovation, Design …, 2017 | 1 | 2017 |
