Juan Miguel Lopez Alcaraz
Orcid: 0000-0002-9232-1690
According to our database1,
Juan Miguel Lopez Alcaraz
authored at least 14 papers
between 2022 and 2025.
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Bibliography
2025
Explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms.
CoRR, February, 2025
Enhancing clinical decision support with physiological waveforms - A multimodal benchmark in emergency care.
Comput. Biol. Medicine, 2025
2024
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study.
CoRR, 2024
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach.
CoRR, 2024
CardioLab: Laboratory Values Estimation and Monitoring from Electrocardiogram Signals - A Multimodal Deep Learning Approach.
CoRR, 2024
CoRR, 2024
CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study.
CoRR, 2024
MDS-ED: Multimodal Decision Support in the Emergency Department - a Benchmark Dataset for Diagnoses and Deterioration Prediction in Emergency Medicine.
CoRR, 2024
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models.
CoRR, 2024
2023
Comput. Biol. Medicine, September, 2023
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models.
Trans. Mach. Learn. Res., 2023
Cardiac and extracardiac discharge diagnosis prediction from emergency department ECGs using deep learning.
CoRR, 2023
2022
From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence.
CoRR, 2022