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

DeepECG-Kit: A Practical and Reproducible Framework for ECG Deep Learning
Steven Hicks, Mary M. Maleckar, Thomas Dreibholz et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper

Deep Learning Framework for ECG-Based Coronary Artery Disease (Ischemia) Detection in Primary Care
P. T. V. A Fernando, V. M. L Ching, D. V. A Shrinath et al. International Symposium on AI-Driven Engineering Systems (ISADES), 2026. Cites: paper

Deep Residual Transfer Learning and Transformer Architectures for ECG Signal–Based Heart Disease Detection
Nawaf Alshdaifat, Hamza Abu Owida, Hamza A. Mashagba et al. HighTech and Innovation Journal, 2026. Cites: paper

ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
Vajira Lasantha Thambawita, Jonas Lynggaard Isaksen, Jørgen K. Kanters et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper

ECGWavePuzzle as Morphology-Aware Auxiliary Supervision for Multitask Arrhythmia Classification
Guilherme Silva, Arthur Negrão, Pedro Silva et al. 2026. Cites: paper

Enhancing Cardiovascular Diseases Predictionwith aNovel QRS Relative Energy Ratio Feature
Yan Jiang. Applied and Computational Engineering, 2026. Cites: dataset, paper

Federated ECG Classification via Embedding-Level Data Augmentation
Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

FL-EHDS: A Privacy-Preserving Multimodal Federated Learning Framework for the European Health Data Space
Fabio Liberti. International Conference on Federated Learning and Intelligent Computing Systems (FLICS), 2026. Cites: paper

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal–Image Modeling and Understanding
Yihan Xie, Sijing Li, Zhuonan Wang et al. 2026. Cites: paper

Learning Clinically Relevant ECG Lead Subsets for Myocardial Infarction Detection
Gaddam Uma, S. Ganga, Shahzadi Asra. IEEE Global Symposium on Emerging and Communication Technologies (GSEACT), 2026. Cites: paper

Multilabel Cardiovascular Disease Detection Using Multi-Kernel Attention-Gated Network
Akriti Jaiswal, Samarendra Dandapat, Prabin Kumar Bora. IEEE Region 10 Symposium (TENSYMP), 2026. Cites: paper

Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
João Victor Pavan Silveira, Victor R. L. M. de Almeida, Fábio Marcon Siqueira et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper

Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis
Mineth De Croos, Nisitha Padeniya, Chamath Rupasinghe et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper

Sampling Matters: the Effect of Ecg Frequency on Deep Learning-Based Atrial Fibrillation Detection
Arjan Mahmuod, Adrian Rod Hammerstad, Muzaffar Yousef et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper

Single-Lead Abnormal ECG Screening with a Lightweight Deep Learning Model for Wearable Health Monitoring
Estela Ribeiro, Quenaz Bezerra Soares, Douglas de Andrade de Almeida et al. 2026. Cites: paper

TAPEC: Transformer and Adaptive Policy-based Early Classification for Diverse and Varied-length Time Series
Ya-Chu Chang, Yujia Wu, Vincent S. M. Tseng. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper

Temporal Latent Priors Improve Sequential Generative Modeling of Full-Length 12-Lead ECGs
Marko Miletic, Murat Sariyar. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper

Towards Generalizable ECG Understanding: A Masked Patch Reconstruction–Driven Self-Supervised Transformer Framework for Multi-Label Cardiac Diagnostics
Ashish Bajaj, Anil Kumar Verma, Abhishek Mohan. IEEE Global Symposium on Emerging and Communication Technologies (GSEACT), 2026. Cites: paper

КЛАСИФІКАЦЯ АРИТМІЙ З ВИКОРИСТАННЯМ МЕТОДІВ ГЛИБОКОГО НАВЧАННЯ В УМОВАХ АПАРАТНИХ ОБМЕЖЕНЬ НОСИМИХ ПРИСТРОЇВ
Оlena Akhiiezer, Сергій Ковтун. Measuring and computing devices in technological processes, 2026. Cites: dataset

A Lightweight Multiscale Deep Learning Framework for Automated Cardiovascular Disease Classification from Standard 12-Lead ECG Images
Chotirose Prathom, Ryoga Sato, Shinya Watanabe et al. Technologies, 2026. Cites: paper

EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy‐Hieu Pham. arXiv (Cornell University), 2026. Cites: dataset

CODE-II: a large-scale dataset for artificial intelligence in ECG analysis
Petrus E. O. G. B. Abreu, Gabriela Miana Paixao, Jiawei Li et al. npj Digital Medicine, 2026. Cites: paper

Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals
Phu Xuan Nguyen, Konstantinos Kontras, Wei Dai et al. arXiv (Cornell University), 2026. Cites: dataset

From Reports to Ontologies: Ontology-Guided Representation Learning for 12-Lead ECG
Lei Xu, Fahad Sohrab, Mehmet Yamaç et al. arXiv (Cornell University), 2026. Cites: paper

HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
Shubham Gupta, Nikhil Panwar, Partha Pratim Roy. arXiv (Cornell University), 2026. Cites: paper

A diffusion-enhanced classification system for physiological signal-based diagnosis
Haotian Tang, Hanyu Cui, Xidong Wu et al. Expert Systems with Applications, 2026. Cites: paper

ExECG: An Explainable AI Framework for ECG models
Jong-Hwan Jang, Yong‐Yeon Jo. arXiv (Cornell University), 2026. Cites: paper

Tail-AwareNet: An ECG-Based classification network for accessory pathway locations
Yuer Ma, Yi Feng, Jialin Wang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Developing and validating an artificial intelligence-based electronic triage model for predicting clinical outcomes among cardiac-suspected patients in the emergency department
Ahmad Bavali‐Gazik, Elahe Allahyari, Amir Sezavar et al. European Heart Journal - Digital Health, 2026. Cites: paper

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

MTF-Net: Multi-Scale Temporal Fusion Network for Efficient ECG Semantic Segmentation
Peng Bai, Yao Chen, You Wu et al. International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC), 2026. Cites: paper

Unsupervised Domain Shift Detection with Interpretable Subspace Attribution
Sebastian Springer, Alessandro Laio. arXiv (Cornell University), 2026. Cites: paper

From ECG Signal to Clinical Report: A Two-Stage Deep Learning Framework with Systematic LLM Evaluation
Oussama El Allam, Mohamed Hamlich. International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2026. Cites: paper

Transfer Learning and Multi-Task Optimization for Multi-Modal Heart Disease Prediction: Integrating Clinical Data and ECG Signals with Uncertainty Quantification
Masoud Amiri, Parand Shariatrad. Biomedical Signal Processing and Control, 2026. Cites: paper

A deep learning ECG model for identification and localization of occlusion myocardial infarction
Stefan Gustafsson, Antônio H. Ribeiro, Daniel Gedon et al. Nature Communications, 2026. Cites: paper

CardioXAI: A Dual-Attention Deep Learning Framework with Interpretable Risk Assessment for Large-Scale ECG Classification
Wensai Xuan, Chenyang Xu, Zhengan Wu et al. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2026. Cites: paper

L-BiTMix: A Lightweight Channel-Mix Temporal Convolutional Network for ECG Analysis
Yi Zhao, Chenyang Xu, Hao Wang. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2026. Cites: paper

MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion
Wugeng Zheng, Ziwen Kan, Tianyu Hu 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: paper

Zero-Shot ECG Arrhythmia Classification from Waveform Images: An Experimental Study with Vision-Language Models
Joseph Azar, Raphaël Couturier, Ke Du et al. IEEE Middle East and North Africa Communications Conference (MENACOMM), 2026. Cites: paper

Detecting cardiovascular diseases using ECG scans and explainable artificial intelligence
Arkadiusz Czerwinski, Damian Kucharski, Jacek Kawa et al. Computer Methods and Programs in Biomedicine, 2026. Cites: paper

ECG Multi-Class Diagnostics Using a Hybrid CNN-Transformer with Self-Supervised Pre-Training
Ksenia Massaltseva, Ming Li, Artem Pavlikov et al. Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), 2026. Cites: paper

Advances in artificial intelligence techniques for diagnosis of cardiac diseases
Essam Halim Houssein, Hebatollah Mostafa, Abdelmgeid Amin Ali et al. Discover Artificial Intelligence, 2026. Cites: paper

Short Paper: Towards Real-Time ECG and EMG Modeling on μNPUs
Josh Millar, Ashok Samraj Thangarajan, Soumyajit Chatterjee et al. 2026. Cites: dataset

A Hierarchical Privacy-Preserving Federated Learning Framework with Differential Privacy for Collaborative Healthcare Diagnostics
M. D. Vimalapriya, R. Mythili, A. Poonguzhali et al. SN Computer Science, 2026. Cites: paper

ProtoSSL: Self-Supervised Pretraining and Downstream Transfer for Projection-Based Prototype Models
Steven Song, Sahil Sethi, Brett K. Beaulieu‐Jones et al. arXiv (Cornell University), 2026. Cites: paper

Hierarchical adaptive conformal inference for reliable uncertainty quantification in edge-deployable medical wearables
Oussama El Allam, Mohamed Hamlich. Measurement, 2026. Cites: paper

Advancing conversational diagnostic AI with multimodal reasoning
Khaled Kamal Saab, Chunjong Park, Tim Strother et al. Nature Medicine, 2026. Cites: paper

A Semi-Supervised Noisy Label Learning Framework with Distribution Alignment for Chagas Disease ECG Detection
Hao Chen, Songtao Jiang. International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), 2026. Cites: paper

Automated Coronary Artery Disease Detection using ECG and Demographical Data
Neeraj Singh, Karan Jain, Suchi Jain. IEEE International Conference on Intelligent Technologies for a Sustainable and Inclusive Future (ICITSIF), 2026. Cites: paper

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