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David Chushig-Muzo

Showing results (1-10 of 7) with videos related to

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Artificial Intelligence in Medicine|November 26, 2021
Interpreting clinical latent representations using autoencoders and probabilistic modelsDavid Chushig-Muzo, Cristina Soguero-Ruiz, Pablo de Miguel-Bohoyo, et al.
Biodata Mining|September 5, 2022
Learning and visualizing chronic latent representations using electronic health recordsDavid Chushig-Muzo, Cristina Soguero-Ruiz, Pablo de Miguel Bohoyo, et al.
Biodata Mining|October 31, 2024
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretabilityVanesa Gómez-Martínez, David Chushig-Muzo, Marit B Veierød, et al.
Computer Methods and Programs in Biomedicine|April 6, 2025
Personalized glucose forecasting for people with type 1 diabetes using large language modelsFrancisco J Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, et al.
BMC Bioinformatics|September 24, 2025
Glucostats: an efficient Python library for glucose time series feature extraction and visual analysisPablo Peiro-Corbacho, Francisco J Lara-Abelenda, David Chushig-Muzo, et al.
Journal of Biomedical Informatics|April 10, 2025
Transfer learning for a tabular-to-image approach: A case study for cardiovascular disease predictionFrancisco J Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, et al.
Frontiers in Digital Health|January 1, 2026
Public perceptions and emotional trends of psychotherapy: a 15-year analysis across English and Spanish language communities on X (twitter)Javier Goena, Juan Pablo Chart-Pascual, Francisco J Lara-Abelenda, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Artificial Intelligence in Medicine|November 26, 2021
Interpreting clinical latent representations using autoencoders and probabilistic modelsDavid Chushig-Muzo, Cristina Soguero-Ruiz, Pablo de Miguel-Bohoyo, et al.
Biodata Mining|September 5, 2022
Learning and visualizing chronic latent representations using electronic health recordsDavid Chushig-Muzo, Cristina Soguero-Ruiz, Pablo de Miguel Bohoyo, et al.
Biodata Mining|October 31, 2024
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretabilityVanesa Gómez-Martínez, David Chushig-Muzo, Marit B Veierød, et al.
Computer Methods and Programs in Biomedicine|April 6, 2025
Personalized glucose forecasting for people with type 1 diabetes using large language modelsFrancisco J Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, et al.
BMC Bioinformatics|September 24, 2025
Glucostats: an efficient Python library for glucose time series feature extraction and visual analysisPablo Peiro-Corbacho, Francisco J Lara-Abelenda, David Chushig-Muzo, et al.
Journal of Biomedical Informatics|April 10, 2025
Transfer learning for a tabular-to-image approach: A case study for cardiovascular disease predictionFrancisco J Lara-Abelenda, David Chushig-Muzo, Pablo Peiro-Corbacho, et al.
Frontiers in Digital Health|January 1, 2026
Public perceptions and emotional trends of psychotherapy: a 15-year analysis across English and Spanish language communities on X (twitter)Javier Goena, Juan Pablo Chart-Pascual, Francisco J Lara-Abelenda, et al.
Pageof 1