A. Veloz

发表

An Extreme Learning Machine for Blood Pressure Waveform Estimation using the Photoplethysmography Signal

C. Saavedra, S. Chabert, Rodrigo F. Salas, 2022, Journal of Engineering Research and Sciences.

Study protocol and rationale of the “Cogni-action project” a cross-sectional and randomized controlled trial about physical activity, brain health, cognition, and educational achievement in schoolchildren

I. Esteban‐Cornejo, J. Castro-Piñero, F. Ortega, 2019, BMC Pediatrics.

Cortical mapping in glioma surgery: correlation of fMRI and direct electrical stimulation with Human Connectome Project parcellations.

S. Chabert, Rodrigo Riveros, Francisco Torres, 2022, Neurosurgical focus.

Brain Tumors: How Can Images and Segmentation Techniques Help?

Rodrigo Salas, Alejandro Veloz, Steren Chabert, 2011 .

Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging

Rodrigo Salas, Alejandro Veloz, Steren Chabert, 2007, CIARP.

Image Quality Assessment to Emulate Experts’ Perception in Lumbar MRI Using Machine Learning

C. Saavedra, S. Chabert, Rodrigo F. Salas, 2021, Applied Sciences.

Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis

Claudio Moraga, Rodrigo Salas, Héctor Allende, 2020, IEEE Transactions on Fuzzy Systems.

A named entity recognition framework using transformers to identify relevant clinical findings from mammographic radiological reports

J. Sotelo, S. Chabert, Rodrigo Salas, 2023, Symposium on Medical Information Processing and Analysis.

Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features

Héctor Allende, Alejandro Veloz, Héctor Allende-Cid, 2010, 2010 XXIX International Conference of the Chilean Computer Science Society.

Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model

C. Moraga, H. Allende-Cid, H. Allende, 2016, Neural Processing Letters.

SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model

Rodrigo Salas, Héctor Allende, Alejandro Veloz, 2012, 2012 IEEE 42nd International Symposium on Multiple-Valued Logic.

A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting

Claudio Moraga, Rodrigo Salas, Héctor Allende, 2009, KES.

Applying machine learning and image feature extraction techniques to the problem of cerebral aneurysm rupture

Rodrigo Salas, Alejandro Veloz, Steren Chabert, 2017 .

Ant Colony Clustering for ROI Identification in Functional Magnetic Resonance Imaging

Carla Taramasco, Alejandro Veloz, Alejandro Weinstein, 2019, Comput. Intell. Neurosci..

Impact of b-Value Sampling Scheme on Brain IVIM Parameter Estimation in Healthy Subjects

S. Uribe, S. Chabert, Rodrigo F. Salas, 2019, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

Using Low-Resolution Non-Invasive Infrared Sensors to Classify Activities and Falls in Older Adults

J. Minonzio, C. Taramasco, Gastón Márquez, 2022, Sensors.

Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning

Héctor Allende, Alejandro Veloz, Gustavo Ulloa, 2020, ICIAR.

An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification

Héctor Allende, Alejandro Veloz, Sergio Campos, 2018, CIARP.