Publications citing EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs v1.1.1

CardioJEPA: A Framework for Holistic Cardiac Representations Through Predictive Multimodal Alignment with ECG-Preservation
Daniel Uyterlinde, Laura Alvarez-Florez, Samuel Ruipérez-Campillo et al. Research Square, 2026. Cites: dataset

EchoGraph-FusionNet: Adaptive Disease-Graph and Mixture-of-Experts Learning for Predicting Echocardiographic Abnormalities from ECGs
Çetin Mirzaoğlu, Tolga Çakmak, Melike Demir et al. Life, 2026. Cites: paper

Privacy-Budget Allocation for Heterogeneous Query Batches: Calibration and Execution Boundaries
Yudong Zheng, Jinan Shen. Zenodo (CERN European Organization for Nuclear Research), 2026. Cites: dataset

MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning
Robert A. Lewis, I-Min Chiu, Kyle Verrier et al. arXiv (Cornell University), 2026. Cites: paper

Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification
Nikola Cenikj, Özgün Turgut, Alexander Müller et al. Lecture notes in computer science, 2026. Cites: dataset

Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-view Echos
Michelle Espranita Liman, Özgün Turgut, Alexander Müller et al. Lecture notes in computer science, 2026. Cites: dataset

Reconstructing synthetic hearts from ECG using flow matching
Jin Zheng, Soodeh Kalaie, Qiang Ma et al. medRxiv, 2026. Cites: dataset, paper

Transportability of an artificial intelligence electrocardiography model for structural heart disease: external validation and recalibration of EchoNext-Mini in MIMIC-IV
Emmanuel Otabor, Abdulraheem Hassan, Ayoyimika O Okunlola et al. European Heart Journal - Digital Health, 2026. Cites: paper

Multimodal deep learning for structural heart disease prediction from ECG and clinical data
Nurudeen Ayobami Ajadi, Sulaiman O Afolabi, Ibrahim Oyeyemi Adenekan et al. Smart Health, 2026. Cites: dataset

Condition-Specific Structural Heart Disease Screening from ECG Features: An Interpretable Binary Relevance Machine Learning Analysis
Paola M. Brena Ortiz, Muhammad Nafees Qamar. Lecture notes in computer science, 2026. Cites: dataset

Review of open foundation models and datasets for ECG and PPG waveforms
Ahram Han, Takeshi Tohyama, Dukyong Yoon et al. npj Digital Medicine, 2026. Cites: dataset

Autonomous Agents for Auditable Cardiovascular Artificial Intelligence Development
Lovedeep Singh Dhingra, Bruno Batinica, Ryan B Choi et al. medRxiv, 2026. Cites: paper

Advances in the Interpretation of the Electrocardiogram by Artificial Intelligence
S. Suave Lobodzinski, Ryszard Piotrowicz. Diagnostics, 2026. Cites: paper

Uncertainty-aware classification and triage of structural heart disease using electrocardiography and echocardiography metrics
Mitchel J. Colebank. PubMed, 2026. Cites: dataset

How Do Electrocardiogram Models Scale?
Jiawei Li, Fabio Bonassi, Ming Jin et al. arXiv (Cornell University), 2026. Cites: dataset

Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study
M A Al-Masud, Nils Strodthoff. arXiv (Cornell University), 2026. Cites: dataset, paper

Domain-Adapted Fine-Tuning of ECG Foundation Models for Multi-Label Structural Heart Disease Screening
Duc N. Do, Minh N. Do, Dang H. Nguyen et al. arXiv (Cornell University), 2026. Cites: dataset

Response to ‘promising advances and remaining challenges in AI-driven QTc estimation’ by Zekai Yu
Lucas Plagwitz, Florian Doldi, Jannes Magerfleisch et al. EP Europace, 2026. Cites: dataset

Sparse Bayesian Deep Functional Learning with Structured Region Selection
Xiaoxian Zhu, Yingmeng Li, Shuangge Ma et al. arXiv (Cornell University), 2026. Cites: dataset

TARGET-AI: A Foundational Approach for the Targeted Deployment of Artificial Intelligence Electrocardiography in the Electronic Health Record
Evangelos K. Oikonomou, Bruno Batinica, Lovedeep Singh Dhingra et al. NEJM AI, 2026. Cites: dataset

Cumulative electrocardiogram abnormalities predict left ventricular ejection fraction reduction: EchoNext database analysis
Solomon Kim, Beshoy Saad, Gary Chu. Journal of Electrocardiology, 2026. Cites: dataset

An ECG Foundation Model for Generalizable Cardiac Function Prediction across the Lifespan
Yuting Yang, Lorenzo Peracchio, Joshua Mayourian et al. medRxiv, 2026. Cites: dataset, paper

Test-Retest Reliability of Artificial Intelligence-Enhanced Electrocardiography: A Multi-Center Study
Lovedeep Singh Dhingra, Philip Merio Croon, Bruno Batinica et al. medRxiv, 2025. Cites: paper

Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
M A Al-Masud, Juan Miguel Lopez Alcaraz, Nils Strodthoff. arXiv (Cornell University), 2025. Cites: dataset

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