Antonio Torteya-Martinez

San Pedro Garza Garcia, NLE, Mexico

Last Updated: 09/26/2026

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Found 17 publications

A bibliometric and text-mining analysis of lipidomics and metabolomics in human disease.

A bibliometric and text-mining analysis of lipidomics and metabolomics in human disease.

Journal: Frontiers in physiology

Published: October 28, 2025

Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer's disease via data fusion and machine learning.

Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer's disease via data fusion and machine learning.

Journal: PloS one

Published: March 08, 2025

Child face detection on front passenger seat through deep learning.

Child face detection on front passenger seat through deep learning.

Journal: Traffic injury prevention

Published: May 08, 2024

A Bibliometric Review on Candida auris of the First Fifteen Years of Research (2009-2023).

A Bibliometric Review on Candida auris of the First Fifteen Years of Research (2009-2023).

Journal: BioMed research international

Published: August 02, 2023

Measuring Heart Rate Variability Using Facial Video.

Measuring Heart Rate Variability Using Facial Video.

Journal: Sensors (Basel, Switzerland)

Published: June 01, 2022

A Bibliometric Review on Gut Microbiome and Alzheimer's Disease Between 2012 and 2021.

A Bibliometric Review on Gut Microbiome and Alzheimer's Disease Between 2012 and 2021.

Journal: Frontiers in aging neuroscience

Published: October 28, 2021

In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection.

In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection.

Journal: Sensors (Basel, Switzerland)

Published: September 27, 2021

Signal and Texture Features from T2 Maps for the Prediction of Mild Cognitive Impairment to Alzheimer's Disease Progression.

Signal and Texture Features from T2 Maps for the Prediction of Mild Cognitive Impairment to Alzheimer's Disease Progression.

Journal: Healthcare (Basel, Switzerland)

Published: June 18, 2021

Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture Modeling.

Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture Modeling.

Journal: Current Alzheimer research

Published: August 20, 2020

Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach.

Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach.

Journal: Sensors (Basel, Switzerland)

Published: November 10, 2017

Identification and Temporal Characterization of Features Associated with the Conversion from Mild Cognitive Impairment to Alzheimer's Disease.

Identification and Temporal Characterization of Features Associated with the Conversion from Mild Cognitive Impairment to Alzheimer's Disease.

Journal: Current Alzheimer research

Published: September 15, 2017

Scan-rescan precision of subchondral bone curvature maps from routine 3D DESS water excitation sequences: Data from the Osteoarthritis Initiative.

Scan-rescan precision of subchondral bone curvature maps from routine 3D DESS water excitation sequences: Data from the Osteoarthritis Initiative.

Journal: Computers in biology and medicine

Published: September 04, 2015

Showing 1-12 of 17

Last Updated: 09/26/2026