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

Attention-enhanced bidirectional LSTM for multivariate ECG arrhythmia classification: a deep learning approach with clinical validation
Nadira Tashtemirova. Journal of Artificial Intelligence Machine Learning and Neural Network, 2025. Cites: paper

ProbMED: A Probabilistic Framework for Medical Multimodal Binding
Yuan Gao, Sangwook Kim, Jianzhong You et al. IEEE/CVF International Conference on Computer Vision (ICCV), 2025. Cites: paper

A performance analysis of convolutional autoencoder modified WaveGAN architectures for realistic 12 lead electrocardiogram synthesis
Jiaqi Liu, Kwok Tai Chui, Lap–Kei Lee et al. Scientific Reports, 2025. Cites: dataset, paper

Data Augmentation-Enhanced Myocardial Infarction Classification and Localization Using a ResNet-Transformer Cascaded Network
Yunfan Chen, Qi Gao, Jinxing Ye et al. Biology, 2025. Cites: paper

ECG-XPLAIM: eXPlainable Locally-adaptive Artificial Intelligence Model for arrhythmia detection from large-scale electrocardiogram data
Panteleimon Pantelidis, Samuel Ruipérez-Campillo, Julia Elisabeth Vogt et al. Frontiers in Cardiovascular Medicine, 2025. Cites: paper

Lightweight and Interpretable CNNs for Multi-Label ECG Diagnosis on the Edge
Cătălin Aurelian Popa, Radu Dogaru. IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), 2025. Cites: paper

Artificial Intelligence in Cardiac Electrophysiology: A Clinically Oriented Review with Engineering Primers
Giovanni Canino, Assunta Di Costanzo, Nadia Salerno et al. Bioengineering, 2025. Cites: paper

A novel multichannel sparse convolutional autoencoder for electrocardiogram signal compression
Tahir Bekiryazıcı, Mehmet Damkacı, Gürkan Aydemır et al. Journal of Electrocardiology, 2025. Cites: paper

ECG Signal Classification for Heart Disease Detection: A Systematic Review and Future Directions
Mohammad Zuhair Abo Hadba, Amira J. Zaylaa, Mohammad Ayache. International Conference on Advances in Biomedical Engineering (ICABME), 2025. Cites: paper

An integrated algorithm for single lead electrocardiogram signal analysis using deep learning with 12-lead data
Muhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka et al. Scientific Reports, 2025. Cites: paper

Artificial Intelligence in Electrocardiography: From Automated Arrhythmia Detection to Predicting Hidden Cardiovascular Disease
Ramy Elantary, Samar Othman. Cureus, 2025. Cites: paper

A novel multimodal self-supervised framework for ECG arrhythmia classification
Jianqiang Hu, Cheng Li, Jinde Cao et al. Computers in Biology and Medicine, 2025. Cites: paper

A survey on electronic health record driven multimodal representation learning
Yutao Dou, Yaoyu Liu, Haitao Zou et al. Information Fusion, 2025. Cites: paper

TECC: Transformer-enabled electrocardiogram classification for accurate heart disease detection
Marwa Afnouch, Safwen Dammak, Olfa Gaddour et al. Multiscale and Multidisciplinary Modeling Experiments and Design, 2025. Cites: paper

MFCA-UNet:A Multi-source Feature Fusion Cross-Attention Enhancement Network for 12 Lead Electrocardiogram Classification
Wei Pang, Ming Ma, Meiju Yu. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2025. Cites: paper

Secure Federated Generative Transformers for Trustworthy Diagnostics in Global Healthcare Networks
Santosh Kumar. IEEE Baja California Conference (BCC), 2025. Cites: paper

Математическая модель 12-канальных электрокардиограмм с учетом пространственных зависимостей отведений
Eugene Yu. Shchetinin. Modelirovanie, optimizaciâ i informacionnye tehnologii., 2025. Cites: paper

A Hybrid Deep Learning Model Framework for Multi-Label ECG Classification
Mustafa Mortada Khalaf Al-Shaheen. Journal of Al-Qadisiyah for Computer Science and Mathematics, 2025. Cites: dataset, 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: paper

Low-power, Energy-efficient, Cardiologist-level Atrial Fibrillation Detection for Wearable Devices
Dominik Marek Loroch, Johannes Feldmann, Vladimir Rybalkin et al. IEEE International System-on-Chip Conference (SOCC), 2025. Cites: paper

Optimizing Reduced-Lead ECG Diagnosis: An Interpretable Pipeline for Lead Selection and Model Adaptation
Luisa G. Porfírio, Guilherme H. G. Evangelista, Pedro B. Rigueira et al. 2025. Cites: paper

ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning
Panpan Fan, Xiaodong Yue, Yufei Chen et al. Lecture notes in computer science, 2025. Cites: paper

ECGtizer: An open-source, fully automated pipeline for digitization and signal recovery from paper electrocardiograms
Alex Lence, Ahmad Fall, S. Cohen et al. Biomedical Signal Processing and Control, 2025. Cites: paper

LAPAmix: Label-Adaptive Phase-Amplitude Mixup for Time-Series Augmentation
Hongyi Zhang, Xianrui Ji, Jun Fu. China Automation Congress (CAC), 2025. Cites: paper

MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion
Wei Fan, Jingru Fei, Jindong Han et al. Information Fusion, 2025. Cites: paper

State of the Art in Automatic Generation of Medical Reports: Models, Applications and Challenges
Bryan Vásquez-Pineda, Nicole Velasco-Molina, Yakdiel Rodríguez-Gallo. IEEE Central America and Panama Student Conference (CONESCAPAN), 2025. Cites: paper

CSTSINR: improving temporal continuity via convolutional structured implicit neural representations for time series anomaly detection
Ke Liu, Mengxuan Li, Jiajun Bu et al. Neural Networks, 2025. Cites: paper

MS-LTCAF: A Multi-Scale Lead-Temporal Co-Attention Framework for ECG Arrhythmia Detection
Na Feng, Chengwei Chen, Peng Du et al. Bioengineering, 2025. Cites: paper

Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead
Junseok Lee, Yeonho Yoo, Jinkyu Kim et al. Lecture notes in computer science, 2025. Cites: paper

Generation and Selection: A Self-Iterative Two-Stage Data Augmentation Method for Automated ECG Classification
Chaoying Jiang, Yujing Xin, Ning Liu et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Assessing the Impact of Downsampled ECGs and Alternative Loss Functions in Multi-Label Classification of 12-Lead ECGs
Bjørn-Jostein Singstad, Eraraya Morenzo Muten. Cardiovascular Engineering and Technology, 2025. Cites: paper

Interpretable deep learning framework for multi-label ECG classification: Enhancing cardiac diagnostics through feature attention and explainability
Wei Zeng, Liangmin Shan, Yang Chen et al. Biomedical Signal Processing and Control, 2025. Cites: paper

RDiffGAN-ECG: High-quality specific R-peaks conditional ECG generation using denoising diffusion generative adversarial network with state space models
Mingjun Lin, Xin Zhang, Yong Hong et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Entropy, Assessed by Homeostatic Dysregulation on Electrocardiograms Predicts Fracture and Mortality
Namki Hong, Sang Wouk Cho, Jungheui Kim et al. Aging Cell, 2025. Cites: paper

Arrhythmia Classification with Single-Channel Features Extracted from “A Large-Scale 12-Lead ECG Database for Arrhythmia Study”
Monica Fira, Liviu Goraş, Lucian Iulian Fira et al. Sensors, 2025. Cites: paper

MST-DGCN: Multi-Scale Temporal–Dynamic Graph Convolutional with Orthogonal Gate for Imbalanced Multi-Label ECG Arrhythmia Classification
Jie Chen, Mingfeng Jiang, Xiaoyu He et al. AI, 2025. Cites: paper

Autoencoders for Anomaly Detection in ECG Signals
Snehal Rathi, Vijayshri Nitin Khedkar, Soham Gite et al. International Conference on Innovative Mechanisms for Industry Applications, 2025. Cites: paper

Enhanced ECG Beat Classification using A Hybrid Transformer-CNN Model on the PTB-Xl Dataset
Rakesh Ramakrishna Pai, Ranjith Bhat. International Conference on Innovative Mechanisms for Industry Applications, 2025. Cites: paper

Hybrid CNN-GRU-Attention Network for ECG Signal Classification and Real-Time Diagnosis in Edge Healthcare Systems
Gaurav Kumar, Neeraj Varshney. International Conference on Electronics and Computing, Communication Networking Automation Technologies (ICEC2NT), 2025. Cites: paper

An intelligent diagnosis method for cardiovascular diseases based on the CNN-CBAM-GRU model
Zheng Gong, Yufeng Chen, Shirong Lin et al. PLoS ONE, 2025. Cites: paper

Computational modelling of the impact of anatomical changes on ECGs in left ventricular hypertrophy
Mohammadreza Kariman, Karli K. Gillette, Matthias A. F. Gsell et al. The Journal of Physiology, 2025. Cites: paper

Spatial-temporal hierarchical decoupled masked autoencoder: A self-supervised learning framework for electrocardiogram
Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian et al. Expert Systems with Applications, 2025. Cites: paper

Explaining a Sex-Related Cardiovascular Risk Continuum
Tabea F. A. Steinbrinker, Philip Hempel, Dagmar Krefting et al. Current Directions in Biomedical Engineering, 2025. Cites: dataset, paper

Securing deep learning models with differential privacy for cardiovascular disease prediction
Zoher Orabe, Antti Vasankari, Tapio Pahikkala et al. Biomedical Signal Processing and Control, 2025. Cites: dataset

Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainability
Alexander Hammer, Marc Goettling, Hagen Malberg et al. npj Artificial Intelligence, 2025. Cites: dataset, paper

CrossLGNet: Enhanced feature extraction for magnetocardiography via local prediction and global comparison self-supervised learning
Ruizhe Wang, Jiaojiao Pang, Dong Xu et al. Expert Systems with Applications, 2025. Cites: paper

Self-supervised contrastive learning achieves 12-lead ECG classification
Ke Ma, Tao Zhang, Hengyuan Zhang et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Fusion-Based Deep Learning Ensemble on MIT-BIH and PTB-XL ECG Databases for Enhanced Cardiac Diagnosis
Alireza Rahi. medRxiv, 2025. Cites: paper

A Hybrid CNN-LSTM Framework for ECG Classification with Genetic Algorithm-Based Feature Optimization
M. Durairaj, S. Selvakumari. Indian Journal of Science and Technology, 2025. Cites: paper

An Intelligent and Scalable Framework for Early Heart Disease Detection Using Multimodal Health Data and Optimized Deep Learning Strategies
Ammar Kareem Alazzawi, Hasanain Alharbi, Hussein A. A. Al-Khamees et al. SN Computer Science, 2025. Cites: paper

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