Publications citing PTB-XL, a large publicly available electrocardiography dataset v1.0.3

A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX)
Jong-Hwan Jang, Yong‐Yeon Jo, Sora Kang et al. Scientific Reports, 2025. Cites: paper

Towards Automated CVD Diagnosis: Deep Learning-based ECG Feature Extraction*
Youssif Abuzied, Hassan Abd-Eltawab, Abdelrhman Gaber et al. IEEE Symposium on Computers and Communications (ISCC), 2025. Cites: paper

Overcoming data scarcity in life-threatening arrhythmia detection through transfer learning
Giuliana Monachino, Beatrice Zanchi, Michael Wand et al. Communications Medicine, 2025. Cites: paper

SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network
Samin Yaser, Muhammad E. H. Chowdhury, Rusab Sarmun. Computers in Biology and Medicine, 2025. Cites: paper

Current trends in AI-ECG interpretation studies
Krzysztof Julian Długosz, Adrianna Witkowska, Julia Piotrowska et al. Medical Science, 2025. Cites: dataset, paper

ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis
Yubao Zhao, Jiaju Kang, Tian Yao Zhang et al. IEEE International Conference on Multimedia and Expo (ICME), 2025. Cites: paper

NEURAL NETWORK AUTOENCODER MODEL FOR FORMING REDUCED VECTOR CHARACTERISTICS OF ECG SIGNALS
Anton Volodymyrovych Mnevets, Н. Г. Иванушкина. Bulletin of Kyiv Polytechnic Institute Series Instrument Making, 2025. Cites: paper

An Electrocardiogram Foundation Model Built on over 10 Million Recordings
Jun Li, Aaron D. Aguirre, Valdery F. Moura Junior et al. NEJM AI, 2025. Cites: paper

DeepSemComm: a deep learning-based semantic communication framework with case studies in text and biomedical signal transmission
Bura Vijay Kumar, Bhavana Jamalpur. The European Physical Journal Plus, 2025. Cites: paper

CADNet: A Lightweight Neural Network for Coronary Artery Disease Classification Using Electrocardiogram Signals
Atitaya Phoemsuk, Vahid Abolghasemi. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

MultiECGNet: A novel deep learning-based multi-format ensemble method for image-based electrocardiographic diagnosis of atrial fibrillation
Justin Anh-Kiet Phan, George Parker, Nigel Hamilton Lovell et al. medRxiv, 2025. Cites: paper

ECGFM: A foundation model for ECG analysis trained on a multi-center million-ECG dataset
Shaoting Zhang, Yishan Du, Wenji Wang et al. Information Fusion, 2025. Cites: paper

Reconstructing ECG from indirect signals: a denoising diffusion approach
Lisa Bedin, Yazid Janati, Gabriel Victorino Cardoso et al. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2025. Cites: paper

Diffusion-based high dimensional subspace mapping for ECG generation with structured state space models
Baofeng Zhu, Chengbao Peng, Xia Zhang et al. Applied Intelligence, 2025. Cites: paper

Effect of Sampling Rate on ECG Deep Learning Classifiers
Sristi Dakshit, Sagnik Dakshit, Balakrishnan Prabhakaran. IEEE International Conference on Healthcare Informatics (ICHI), 2025. Cites: paper

Multi-Class Cardiovascular Disease Diagnosis using Temporal Convolutional BiLSTM Model
Akriti Jaiswal, Samarendra Dandapat, Prabin Kumar Bora. IEEE Guwahati Subsection Conference (GCON), 2025. Cites: paper

ECG-Based Detection of Acute Myocardial Infarction Using a Wrist-Worn Device
Karolina Jančiulevičiūtė, Daivaras Sokas, Justinas Bacevičius et al. IEEE Transactions on Biomedical Engineering, 2025. Cites: paper

Uncertainty‐Guided Diffusion Model for High‐Fidelity ECG Synthesis and Classification
Qi Zhang, Hongyan Li. Expert Systems, 2025. Cites: paper

DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information
Yongfan Lai, Jiabo Chen, Qinghao Zhao et al. Patterns, 2025. Cites: paper

Siamеse Neural Network’s Models for Cardiac Arrhythmia Classification in the Conditions of Shortage of Training Ecg Signals
Anton Volodymyrovych Mnevets, Nataliia Heorhiivna Ivanushkina. Microsystems Electronics and Acoustics, 2025. Cites: paper

Contribution to the Development of Intelligent Systems for Multi-Lead ECG Signal Classification Using Convolutional Neural Networks
Bilgin Demir, Zhilbert Tafa. Mediterranean Conference on Embedded Computing (MECO), 2025. Cites: paper

Cardiac pathology classification with one-dimensional convolutional neural network
Thomas Sponchiado Pastore, Gabriel de Oliveira Ramos, Jean Schmith. 2025. Cites: paper

Classificação de Doença Arterial Coronariana através de redes neurais profundas
Diogo Casal Ferreira, Alexei Manso Correa Machado. 2025. Cites: paper

Deep unsupervised domain adaptation for time series classification: a benchmark
Hassan Ismail Fawaz, Ganesh Del Grosso, Tanguy Kerdoncuff et al. Data Mining and Knowledge Discovery, 2025. Cites: paper

Federated Learning for Early Cardiac Anomaly Prediction in Cross-Silo IoMT Environments
Michael Georgiades, Lakis Christodoulou, Andreas Chari et al. International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2025. Cites: dataset, paper

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. Cites: paper

CVD- TransNet: Cardiovascular Disease Classification Using Transfer Learning Based Convolutional Neural Networks with Electrocardiogram Signal
J. Priyadharshini, M. Madheswaran. Journal of Electrical Engineering and Technology, 2025. Cites: paper

Large Language Model-assisted multi-scale hierarchical classification of ECG signals
Qianjiang Chen, Cheng Lian, Bingrong Xu et al. Knowledge-Based Systems, 2025. Cites: paper

A deep learning-based myocardial infarction classification based on single-lead electrocardiogram signal
Annisa Darmawahyuni, Winda Kurnia Sari, Nurul Afifah et al. International Journal of Advances in Applied Sciences, 2025. Cites: paper

Diagnostics of Cardiovascular Diseases Using Recurrent and Convolutional Neural Networks
Vladislav V. Kuznetsov, V. A. Moskalenko, Nikolai Yu. Zolotykh. Pattern Recognition and Image Analysis, 2025. Cites: paper

Time series anomaly detection via temporal relationship graphs and adaptive smoothing
Rongfei Ma, Yuhao Ma, Xiufeng Liu. Applied Soft Computing, 2025. Cites: paper

Deep learning model for ECGreconstruction reveals theinformation content of ECG leads
T. Gradowski, Teodor Buchner. Bio-Algorithms and Med-Systems, 2025. Cites: dataset, paper

Knowledge-Driven Graph Representation Learning for Myocardial Infarction Localization
Feng-Yi Guo, Ying An, Hulin Kuang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

A multi-scale CNN-Transformer parallel network for 12-lead ECG signal classification
Long Wei, Yang Li. Signal Image and Video Processing, 2025. Cites: paper

A novel method for cardiac disorders prediction based on wavelets and weighted visibility graph insights
Rawaa Mejri, Hela Mahersia, Youssef Zied Elhechmi. Biomedical Signal Processing and Control, 2025. Cites: paper

A pediatric ECG database with disease diagnosis covering 11643 children
Jian Tan, Haoyi Fan, Jiawei Luo et al. Scientific Data, 2025. Cites: dataset, paper

A Comprehensive CNN-LSTMA Model for Cardiovascular Disease Diagnosis
Ch. Mohan Sai Kumar, N. Mouniswar Reddy, M. Lokesh et al. International Conference for Emerging Technology (INCET), 2025. Cites: paper

ECG Adaptive Synthesis With Multigranular Fuzzy EASNN: Enhancing Wearable Cardiac Monitoring
Fan Fu, Jiamin Liu, Bosheng He et al. IEEE Transactions on Fuzzy Systems, 2025. Cites: paper

Multi-label Few-Shot Classification of Abnormal ECG Signals Using Metric Learning
Yuhao Cheng, Deyin Li, Jiacheng Li et al. Circuits Systems and Signal Processing, 2025. Cites: paper

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
Md Kamrujjaman Mobin, Md Saiful Islam, Sadik Al Barid et al. 2025. Cites: dataset

Causal ECGNet: leveraging causal inference for robust ECG classification in cardiac disorders
Mei Wang, Cong You, Wei Zhang et al. Frontiers in Physiology, 2025. Cites: paper

Transfer learning in ECG diagnosis: Is it effective?
Cuong V. Nguyen, Cuong Do. PLoS ONE, 2025. Cites: paper

Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation
Jaewon Lee, Miyoung Shin. Applied Sciences, 2025. Cites: paper

Compression Meets Security: Low-Complexity Linear Collaborative Federated Learning With Enhanced Accuracy
Tianshun Wang, Peichun Li, Panpan Feng et al. IEEE Transactions on Mobile Computing, 2025. Cites: paper

Digitizing Analog ECGs: A Deep Learning Pipeline for Converting Historical Records into High-Quality Digital Signals
Sahar Askari, Somayeh Afrasiabi. 2025. Cites: paper

MLATANet: a neural network based on multi-scale lead attention and temporal attention for the diagnosis of arrhythmia types
Yufei Zhao, Mengfei Dou, Xinwu Yang. Signal Image and Video Processing, 2025. Cites: paper

Artificial intelligence in medicine: the influence of medical expertise and perceived causability on medical AI risk and benefit perception
Nadia Said, Lea Schumacher, Markus Huff. Journal of Risk Research, 2025. Cites: paper

ECG-STAR: Spatio-temporal attention residual networks for multi-label ECG abnormality classification
Chien‐Liang Liu, Bin Xiao, Cheng-Feng Tsai. Information Sciences, 2025. Cites: paper

Low-Memory-Footprint CNN-Based Biomedical Signal Processing for Wearable Devices
Zahra Kokhazad, Dimitrios Gkountelos, Milad Kokhazadeh et al. IoT, 2025. Cites: paper

A performance evaluation of silver nanorods PDMS flexible dry electrodes for electrocardiogram monitoring
C. M. Vidhya, Ghanshyam Kumar, Yogita Maithani et al. Scientific Reports, 2025. Cites: paper

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