Juan Miguel Lopez Alcaraz

21 papers B 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking. CoRR Juan Miguel Lopez Alcaraz, Xicoténcatl López Moran, Erick Dávila Zaragoza, Claas Händel, Richard Koebe, Wilhelm Haverkamp, Nils Strodthoff
2025	J	`jnl`	Benchmarking ECG Foundational Models: A Reality Check Across Clinical Tasks. CoRR M. A Al-Masud, Juan Miguel Lopez Alcaraz, Nils Strodthoff
2025	J	`jnl`	Enhancing clinical decision support with physiological waveforms - A multimodal benchmark in emergency care. Comput. Biol. Medicine Juan Miguel Lopez Alcaraz, Hjalmar Bouma, Nils Strodthoff
2025	J	`jnl`	Explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms. CoRR Juan Miguel Lopez Alcaraz, Ebenezer Oloyede, David Taylor, Wilhelm Haverkamp, Nils Strodthoff
2025	B	`conf`	Explaining Time Series Classification Predictions via Causal Attributions. ICTAI Juan Miguel Lopez Alcaraz, Nils Strodthoff
2025	J	`jnl`	Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning. CoRR Julia Matejas, Olaf Zurawski, Nils Strodthoff, Juan Miguel Lopez Alcaraz
2025	J	`jnl`	Towards actionable hypotension prediction - predicting catecholamine therapy initiation in the intensive care unit. CoRR Richard Koebe, Noah Saibel, Juan Miguel Lopez Alcaraz, Simon Schäfer, Nils Strodthoff
2024	J	`jnl`	CardioLab: Laboratory Values Estimation and Monitoring from Electrocardiogram Signals - A Multimodal Deep Learning Approach. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2024	J	`jnl`	CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2024	J	`jnl`	CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2024	J	`jnl`	Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach. CoRR Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
2024	J	`jnl`	Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2024	J	`jnl`	Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study. CoRR Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
2024	J	`jnl`	MDS-ED: Multimodal Decision Support in the Emergency Department - a Benchmark Dataset for Diagnoses and Deterioration Prediction in Emergency Medicine. CoRR Juan Miguel Lopez Alcaraz, Hjalmar Bouma, Nils Strodthoff
2023	J	`jnl`	Cardiac and extracardiac discharge diagnosis prediction from emergency department ECGs using deep learning. CoRR Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp
2023	J	`jnl`	Diffusion-based Conditional ECG Generation with Structured State Space Models. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2023	J	`jnl`	Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models. Trans. Mach. Learn. Res. Juan Miguel Lopez Alcaraz, Nils Strodthoff
2023	J	`jnl`	Diffusion-based conditional ECG generation with structured state space models. Comput. Biol. Medicine Juan Miguel Lopez Alcaraz, Nils Strodthoff
2023	J	`jnl`	Uncovering ECG Changes during Healthy Aging using Explainable AI. CoRR Gabriel Ott, Yannik Schaubelt, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
2022	J	`jnl`	Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2022	J	`jnl`	From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence. CoRR Shagufta Henna, Juan Miguel Lopez Alcaraz