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Silvia Yuste

University of La Rioja

SCHOLARLY PAPERS

4

DOWNLOADS

167

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Novel Digital-Based Approach for Evaluating Wine Components´ Intake: A Deep Learning Model to Determine Wine Volume in a Glass from Single-View Images

Number of pages: 19 Posted: 25 Jul 2023
Miriam Cobo, Edgard Relaño de la Guía, Ignacio Heredia, Fernando Aguilar, Lara Lloret, Daniel García, Silvia Yuste, Emma Recio-Fernández, Patricia Pérez-Matute, M. José Motilva, M. Victoria Moreno-Arribas and Begoña Bartolomé
Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, University of La Rioja, University of La Rioja, University of La Rioja, University of La Rioja, Spanish National Research Council (CSIC) and CSIC, Institute of Food Science Research (CIAL)
Downloads 52 (1,041,696)

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red wine, Polyphenols, Alcohol, deep learning, liquid volume estimation, consumer study application

2.

Identification of Urinary Wine Intake Biomarkers Using a Combination of Targeted and Untargeted Metabolomic Approaches

Number of pages: 36 Posted: 29 Feb 2024
Marta Jimenez-Salcedo, José Ignacio Jimenez-Salcedo, Silvia Yuste, Maria Iñiguez, Patricia Pérez-Matute and Maria-Jose Motilva
University of La Rioja, University of La Rioja, University of La Rioja, Hospital San Pedro Centro de Investigación Biomédica de La Rioja (CIBIR), University of La Rioja and Universidad Internacional de la Rioja
Downloads 47 (1,097,529)

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Polyphenol metabolites, Targeted metabolomic, Urine metabolome, Untargeted metabolomics, UPLC-QTOF-MS, Wine intake biomarkers

3.

Wine Volume Estimation from Single-View Images as a Potential Tool in Dietary Monitoring Studies

Number of pages: 10 Posted: 25 Jan 2022
Miriam Cobo, Ignacio Heredia, Fernando Aguilar, Lara Lloret, Daniel García, Begoña Bartolomé, M. Victoria Moreno-Arribas, Silvia Yuste, Patricia Pérez-Matute and Maria-Jose Motilva
Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, Institute of Physics of Cantabria, CSIC, Institute of Food Science Research (CIAL), Spanish National Research Council (CSIC), University of La Rioja, University of La Rioja and Universidad Internacional de la Rioja
Downloads 42 (1,157,785)

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deep learning model, quantitative red wine volume estimation, single-view image, diet monitoring, automatic measurement

4.

Exploring Urinary Biomarkers in Preclinical Alzheimer's Disease Through the Untargeted Metabolomic Approach: 'La Rioja' Cohort

Number of pages: 38 Posted: 03 Jun 2025
José Ignacio Jimenez-Salcedo, Marta Jimenez-Salcedo, Silvia Yuste, Maria Iñiguez, Sara López-Alava, Belinda Matute Tobias, Patricia Pérez-Matute and Maria-Jose Motilva
University of La Rioja, University of La Rioja, University of La Rioja, Hospital San Pedro Centro de Investigación Biomédica de La Rioja (CIBIR), affiliation not provided to SSRN, affiliation not provided to SSRN, University of La Rioja and Universidad Internacional de la Rioja
Downloads 26 (1,372,601)

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Alzheimer's Disease, biomarkers, preclinical Alzheimer, tetrapeptides, untargeted metabolomics, UPLC-QTOF-MS, urine biomarkers