Alejandro Veloz
Alejandro Veloz
Associate professor, Biomedical Engineering, Universidad de Valparaíso
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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
Self-organizing neuro-fuzzy inference system
H Allende-Cid, A Veloz, R Salas, S Chabert, H Allende
Progress in Pattern Recognition, Image Analysis and Applications: 13th …, 2008
Modified expectation maximization algorithm for MRI segmentation
R Donoso, A Veloz, H Allende
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 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
Fuzzy spatial growing for glioblastoma multiforme segmentation on brain magnetic resonance imaging
A Veloz, S Chabert, R Salas, A Orellana, J Vielma
Progress in Pattern Recognition, Image Analysis and Applications: 12th …, 2007
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 19 (3), 216-226, 2020
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, 641-666, 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
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
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
Improving multiple sclerosis lesion boundaries segmentation by convolutional neural networks with focal learning
G Ulloa, A Veloz, H Allende-Cid, H Allende
Image Analysis and Recognition: 17th International Conference, ICIAR 2020 …, 2020
Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies
G Tapia, M Salinas, J Plaza, D Mellado, R Salas, C Saavedra, A Veloz, ...
Biosignal: 10th International Joint Conference on Biomedical Engineering …, 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
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
A flexible neuro-fuzzy autoregressive technique for non-linear time series forecasting
A Veloz, H Allende-Cid, H Allende, C Moraga, R Salas
Knowledge-Based and Intelligent Information and Engineering Systems: 13th …, 2009
Using low-resolution non-invasive infrared sensors to classify activities and falls in older adults
G Márquez, A Veloz, JG Minonzio, C Reyes, E Calvo, C Taramasco
Sensors 22 (6), 2321, 2022
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
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
An Out of Sample version of the EM algorithm for imputing missing values in Classification
S Campos, A Veloz, H Allende
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019
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
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