Cited by

MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset (v1.0)

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53 publications cite any version of this project, newest first.

• Ventricular repolarization in hospitalized patients with inflammatory bowel disease: a weighted real-world ECG study
  Yuyong Tan, Liyi Liao, jirong Huo et al. Research Square, 2026.
• Does QRS-T loop coupling add to the QRS-T angle? Frechet distance and reduced ejection fraction in hospital ECGs, with named measurement-error scenarios
  Leo Probst. Research Square, 2026.
• Heart-rate-based clock alignment in intensive-care ECGs, serial-ECG matching and administrative follow-up in MIMIC-IV
  Leo Probst. Research Square, 2026.
• Measurement definition, reference availability and testability shaped the verdicts on classical ECG rules in routine hospital data
  Leo Probst. Research Square, 2026.
• Repeat variation and definition dependence of ECG/VCG markers: an exploratory audit of one implementation (LoopLens 10.1)
  Leo Probst. Research Square, 2026.
• Observability of Fifth Universal Definition of Myocardial Infarction components in linked electronic health records: a retrospective MIMIC-IV study
  Hongwei Tan, Zheng Liu, Zhixin Li et al. Research Square, 2026.
• HARVI-ECG: heart-failure readouts from the 12-lead ECG — MIMIC-IV development, zero-shot Emory and EchoNext validation (results bundle v1.3.0)
  Max Haberbusch. Zenodo (CERN European Organization for Nuclear Research), 2026.
• JEPA-Mamba: a self-supervised joint-embedding architecture with bidirectional Mamba for ECG representation learning
  Luyang Dai, Yuwen Li. Biomedical Engineering Letters, 2026.
• Language-supervised electrocardiogram interpretation with vision transformer
  Xue Zhou, 天慧 李, Keijiro Nakamura et al. Health Information Science and Systems, 2026.
• Whole-Cardiac-Cycle ECG Dynamics in Critical Illness: The Spatial QRS- T Angle as a Prognostic Marker, an Early-Warning Signal for Arrhythmia and Myocardial Injury, and an In-Vivo Pharmacodynamic Readout
  Hui Ye, Zhang Qian, Chen Song et al. Research Square, 2026.
• ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation
  Xinyue Liu, Yiming Lei, Shiwei Li et al. Lecture notes in computer science, 2026.
• ECG-based Autonomic Profiles for Depression: Partial Reproduction, Nonlinear Extension, and Commentary
  Inkyung Choi, Milena Čukić, Yulim Choi. Research Square, 2026.
• Label-efficient cross-population transfer learning for electrocardiographic risk stratification: evaluation across German, Chinese and US cohorts
  Yan Wang, Yan Lu. Frontiers in Cardiovascular Medicine, 2026.
• Optical compression of multimodal clinical data into a unified visual memory for generative trajectory forecasting
  Zongheng Guo, Bo Jin, Zhi Han et al. medRxiv, 2026.
• ECG-based longitudinal risk prediction across diseases and organ systems
  yilong ye, Zhiwei Zeng, Xin Tian et al. medRxiv, 2026.
• Six-Hour Sepsis Prediction in Intensive Care: Patient-Level Nested Validation of Structured, Centralized Multimodal, and Simulated Federated Models
  Yingjuan Sun¹, Yuan Zuo¹, Dongbing Pu² et al. Research Square, 2026.
• Visual prompt engineering for multimodal and irregularly sampled medical data
  Malte Tölle, Mohamad Scharaf, Samantha Fischer et al. Communications Medicine, 2026.
• Artificial intelligence-based ECG reconstruction error as a continuous predictor of all-cause mortality: a multi-cohort retrospective validation study
  Angus Nicolson, Samuel Pröll, Riccardo Lunelli et al. medRxiv, 2026.
• A locally deployable agentic framework for clinical data deidentification
  Anja Hirsch, Foo Wei Ten, Kyle Steven Krueger et al. medRxiv, 2026.
• Short Paper: Towards Real-Time ECG and EMG Modeling on μNPUs
  Josh Millar, Ashok Samraj Thangarajan, Soumyajit Chatterjee et al. 2026.
• Teaching multimodal LLMs to comprehend 12-lead electrocardiographic images
  Ruoqi Liu, Yuelin Bai, Xiang Yue et al. npj Digital Medicine, 2026.
• Deep survival analysis from adult and pediatric electrocardiograms: a multi-center benchmark study
  Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu et al. BioData Mining, 2025.
• A Foundation Transformer Model with Self-Supervised Learning for ECG-Based Assessment of Cardiac and Coronary Function
  Jonathan B. Moody, Alexis Poitrasson-Rivière, Jennifer M. Renaud et al. NEJM AI, 2025.
• Diagnosis of cardiac conditions from 12-lead electrocardiogram through natural language supervision
  Xue Mei Zhou, Tianhui Li, Hiromasa Hayama et al. npj Digital Medicine, 2025.
• QTcNet: a deep learning model for direct heart rate corrected QT interval estimation
  Lucas Plagwitz, Florian Doldi, Jannes Magerfleisch et al. EP Europace, 2025.
• Serial 12-Lead Electrocardiogram–Based Deep-Learning Model for Hospital Admission Prediction in Emergency Department Cardiac Presentations: Retrospective Cohort Study
  Arda Altintepe, Kutsev Bengisu Ozyoruk. JMIR Cardio, 2025.
• Deep Learning Can Unmask Conduction Tissue Disease From an Ambulatory ECG
  Laurent Fiorina, Tanner Carbonati, Baptiste Maille et al. Circulation Arrhythmia and Electrophysiology, 2025.
• Vision Transformers for Interpreting ECG Diagrams
  Jarod P. Hartley, J. Edwards, Ehinafa Akinola et al. Lecture notes in computer science, 2025.
• Self-supervised pre-training with joint-embedding predictive architecture boosts ECG classification performance
  Kuba Weimann, Tim Conrad. Computers in Biology and Medicine, 2025.
• Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
  Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff. Cardio-Oncology, 2025.
• Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning
  Veer Sangha, Lovedeep Singh Dhingra, Arya Aminorroaya et al. Nature Cardiovascular Research, 2025.
• Atrial Fibrillation and Atrial Flutter Detection Using Deep Learning
  Dimitri Kraft, Peter Rumm. Sensors, 2025.
• An Electrocardiogram Foundation Model Built on over 10 Million Recordings
  Jun Li, Aaron D. Aguirre, Valdery F. Moura Junior et al. NEJM AI, 2025.
• Neural network graph architecture of transparent artificial intelligence in medicine
  Denis A. Andrikov, D.A. Andrikov, Dmitry Berezkin et al. Vrach i informacionnye tehnologii, 2025.
• A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions
  Mohammed Yusuf Ansari, Mohammed Yaqoob, Mohammed Ishaq et al. Artificial Intelligence Review, 2025.
• A pediatric ECG database with disease diagnosis covering 11643 children
  Jian Tan, Haoyi Fan, Jiawei Luo et al. Scientific Data, 2025.
• AI analysis for ejection fraction estimation from 12-lead ECG
  Alina Devkota, Rukesh Prajapati, Amr S. El-Wakeel et al. Scientific Reports, 2025.
• Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling
  Jialu Tang, Tong Xia, Lu Yuan et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025.
• Digital transformation with IoT and cloud in healthcare
  Yacine Atif, Sujith Samuel Mathew. Elsevier eBooks, 2025.
• Enhancing ECG Report Generation With Domain-Specific Tokenization for Improved Medical NLP Accuracy
  Farzeen Ashfaq, Noor Zaman Jhanjhi, Navid Ali Khan et al. IEEE Access, 2025.
• Foundation model of ECG diagnosis: Diagnostics and explanations of any form and rhythm on ECG
  Yuanyuan Tian, Zhiyuan Li, Yanrui Jin et al. Cell Reports Medicine, 2024.
• HuBERT-ECG as a self-supervised foundation model for broad and scalable cardiac applications
  Edoardo Coppola, Mattia Savardi, Mauro Massussi et al. medRxiv, 2024.
• Explainable multimodal data fusion framework for heart failure detection: Integrating CNN and XGBoost
  Jad Botros, Farah Mourad-Chehade, David Laplanche. Biomedical Signal Processing and Control, 2024.
• Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
  Ridwan Alam, Collin M. Stultz. medRxiv, 2024.
• Age prediction from 12-lead electrocardiograms using deep learning: a comparison of four models on a contemporary, freely available dataset
  Andrew Julio Barros, Ian German Mesner, N. Rich Nguyen et al. Physiological Measurement, 2024.
• ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning
  Zhale Nowroozilarki, Sicong Huang, Rohan Khera et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024.
• M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion
  Zhiyuan Li, Yanrui Jin, Yuanyuan Tian et al. Engineering Applications of Artificial Intelligence, 2024.
• Deep neural networks detect regional wall motion abnormalities and preclinical cardiovascular disease from 12-lead ECGs
  Tanner Carbonati, Parastou Eslami, Jonathan W. Waks et al. medRxiv, 2024.
• Prospects for artificial intelligence-enhanced electrocardiogram as a unified screening tool for cardiac and non-cardiac conditions: an explorative study in emergency care
  Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp. European Heart Journal - Digital Health, 2024.
• Orbital learning: a novel, actively orchestrated decentralised learning for healthcare
  Neeraj Kavan Chakshu, Perumal Nithiarasu. Scientific Reports, 2024.

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