Publications citing PTB-XL, a large publicly available electrocardiography dataset v1.0.1

Organic Electrochemical Random Access Memory: From Bio‐Inspired to Bio‐Integrated
Shijie Wang, Bingjun Wang, Xinru Teng et al. Advanced Materials, 2025. Cites: paper

Versatile cardiovascular signal generation with a unified diffusion transformer
Zehua Chen, Yuyang Miao, Liyuan Wang et al. Nature Machine Intelligence, 2025. Cites: paper

Foundation models for electrocardiogram interpretation: clinical implications
Alexis Nolin-Lapalme, A. Sowa, Jacques Delfrate et al. European Heart Journal, 2025. Cites: paper

Multi-label ECG diagnosis via adversarial view decoupling and hierarchical label constraints
Weilun Meng, Qian Wang, Congfan Gan et al. Knowledge-Based Systems, 2025. Cites: paper

MedNet: A Medical Overview-Focus Network With Uncertainty-Regularized Loss for Unsupervised ECG Anomaly Detection
Zhe Zhang, Jiongwen Chen, Gang Jin et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

A novel adaptive CNN-LSTM fusion network for electrocardiogram diagnosis
Yuxuan Wu, Jijun Tong, Pengjia Qi. Physiological Measurement, 2025. Cites: paper

Intra-Lead ECG Analysis for Deepfake Detection Using Temporal Neural Networks
Mallikarjun Yeshlur, Manthan B T, Ammaar Mohammed Faiz et al. IEEE India Conference, 2025. Cites: paper

Theoretical Perspective on Histogram Binning with Extension to Multi-label Medical Image Classification
Arkapal Panda, Aditya Shankar Pal, Utpal Garain. Indian Conference on Computer Vision, Graphics and Image Processing, 2025. Cites: paper

A Personalized Transfer Learning Framework for Myocardial Infarction Localization
Zhe Wang, Shuaiying Yuan, Yongkang Qin et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

BiECG-LLM: An Approach to ECG Classification and Report Generation Using a Fine-Tuned LLM with Bi-Modal ECG
Yupeng Qiang, Xunde Dong, Xiuling Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in ECG
Xu Wang, Jiaju Kang, Puyu Han et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Enhancing Contrastive Learning-Based Electrocardiogram Pretrained Model with Patient Memory Queue
Xiaoyu Sun, Yang Yi, Xunde Dong. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Enhancing ECG Movement Artifact Filtering for Unseen Data Through Denoising Autoencoders
Giorgio de Moraes Rossa, Emely Pujólli da Silva, Marcelo S. Reis. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

LGFDTK-RAG: Dual-Conditioned RAG with Label-Guided Filtering and Dynamic Top-K for Automated ECG Report Generation
Fei Hu, Xunde Dong, Xiuling Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

MTA-Net: A Multi-Scale Temporal-Attentive Network with Semantic-Structural Fusion for Multi-Label ECG Classification
Shanchen Pang, Zite Kan, Zhiyuan Zhao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Multi-Granular Temporal-Spatial Modeling: A Dual-Modality Framework for Fusing ECG Sequences and Visual Representations
Shuang Wang, Zhaoming Pang, Li Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

PSE-KANet: A Spectrum Enhanced Spline-Adaptive Network for Multi-Label ECG Classification
Lei Guo, Shangjin Yang, Ying An. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

SPG-Net: A Structure-Aware Spatiotemporal Graph Neural Network for Electrocardiogram-Based Myocardial Infarction Localization
Ying An, Ke Du, Xianlai Chen et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

STELLAR: Pacemaker Recognition Using 12-Lead ECG and Spatio-Temporal Harmonic Mechanism
Han Zhang, Zeyuan Ding, Leping Yang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Thinking Like a Cardiologist: Unifying Patient Context and Spatiotemporal Dynamics via Heterogeneous Graph
Yiran Chen, Shuo Yang, Yisu Liu. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Deep Learning Approaches for Classifying ECG Images with CNN and Transfer Learning
J Kavi Preethi, Deva Priya Isravel, Julia Punitha Malar Dhas. International Conference on Smart Structures and Systems (ICSSS), 2025. Cites: paper

Rethinking driver fatigue detection as anomaly identification: A hypergraph-transformer approach
Jwu‐Sheng Hu, Hao Yuan, B. Li et al. Information Processing & Management, 2025. Cites: paper

Efficient Neural Architectures for Real-Time ECG Interpretation on Limited Hardware
Ashery Mbilinyi, Callum O'Riley, Julia Handra et al. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

Versatile and Risk-Sensitive Cardiac Diagnosis via Graph-Based ECG Signal Representation
Yue Wang, Yuyang Xu, Renjun Hu et al. IEEE Transactions on Big Data, 2025. Cites: paper

A dual-stage framework for cardiovascular abnormalities diagnosis from ECG signals using CA-GNN and semi-supervised autoencoders
Nur Mohammad Fahad, Md. Abdur Rahman, Md. Jakarea et al. Signal Image and Video Processing, 2025. Cites: paper

Conditional Electrocardiogram Generation Using Hierarchical Variational Autoencoders
Ivan Sviridov, Konstantin Egorov. Russian Digital Libraries Journal, 2025. Cites: paper

High-accuracy ECG image interpretation using parameter-efficient Low-Rank Adaptation (LoRA) fine-tuning with multimodal LLaMA V.3.2
Nandakishor Mukkunnoth, Anjali Mukkunnoth, Meenakshi P. Khapre et al. BMJ Digital Health & AI, 2025. Cites: paper

Machine learning for classification of advanced rheumatic heart disease using electrocardiogram in cardiology ward
Amsalu Tomas Chuma, Melkamu Hunegnaw Asmare, Carolina Varon et al. BMC Cardiovascular Disorders, 2025. Cites: paper

Multi-stage temporal and cross-view contrastive learning for self-supervised multi-lead ECG classification
Pengyao Xu, Luyao Li, Xiaoyun Xie et al. Biomedical Signal Processing and Control, 2025. Cites: paper

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. Cites: paper

Advanced Self-Supervised Learning for Enhanced Heart Disease Prediction
Nesrine Atitallah, Feras Dalou, Bandar Ali Mohammed Al-Rami Al-Ghamdi. International Conference on Wireless Networks and Mobile Communications (WINCOM), 2025. Cites: paper

Overview of Interpretable and Explainable Artificial Intelligence for Atrial Fibrillation
Stojancho Tudjarski, Ana Angjelevska, Marjan Gušev et al. Telecommunications Forum (TELFOR), 2025. Cites: paper

Self-Supervised Learning for Multi-Lead ECG Classification Reducing Annotation Burden and Improving Generalization
Bilgin Demir, Ervin Domazet. Telecommunications Forum (TELFOR), 2025. Cites: paper

Mini_ECGNet: a lightweight neural network with adaptive covariance pooling and dilated convolution for noise-robust ECG classification
Xiang An, Tian Xia, Jingtian Hu et al. Biomedical Signal Processing and Control, 2025. Cites: paper

A Paralleled Multi-Task Learning-Based Framework for Single-Lead ECG Fine-Grained Noise Localization, Denoising and Signal Quality Assessment
Yating Hu, Qing Liu, Zheng Zhou et al. Sensors, 2025. Cites: paper

Evaluation of Raw Signal and Feature-Based Deep Learning Models for Multi-Label ECG Diagnosis on PTB-XL
Calvin Holloway, Lakshmi Babu Saheer, Mahdi Maktab Dar. Lecture notes in computer science, 2025. Cites: paper

Deep Learning Model and Fuzzy C-Means for Cardiac Disease Detection on Electrocardiogram Signal
Quoc-Thinh Tran, Hoang-Ha Nguyen, Anh-Cang Phan. Communications in computer and information science, 2025. Cites: paper

Integrating Neuroimaging and Machine Learning to Predict Mental Disorder Outcomes: A Systematic Review
Evgenia Gkintoni, Gergios Telonis, Constantinos Halkiopoulos et al. Advances in experimental medicine and biology, 2025. Cites: paper

Enhancing cardiac disease prediction with explainable bidirectional LSTM
Swati Lipsa, Ranjan Kumar Dash, Subhra Debdas et al. Scientific Reports, 2025. Cites: dataset, paper

A Wireless Embedded ECG Monitoring System with Neural Network-Based Data Compression
Yuliyan Slaveykov Velchev. 2025. Cites: paper

DWT-based FDRC for continuous pace tracking of an LSTM-based predictive pacemaker
Rijhi Dey, Arindam Sarkar, Naiwrita Dey et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Explainable deep learning based techniques for ECG-Based heart disease classification: A systematic literature review and future direction
Gouthamaan Manimaran, Abdolrahman Peimankar, Sadasivan K Puthusserypady et al. Computers in Biology and Medicine, 2025. Cites: paper

Cardiac Arrhythmia Classification From Lead I ECG Recorded in a Free-Living Environment
Ismail Sadiq, Haneya N. Qureshi, Ali Rizwan et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

ECG-Driven Cardiovascular Risk Prediction
Juliana V. Castilla Rios, Andrés Felipe Carrera-Pinzón, Jean C. Polo et al. International Symposium on Medical Information Processing and Analysis (SIPAIM), 2025. Cites: paper

Diffusion Model-Based Multi-scale Feature and Timing Consistency Enhancement for ECG Signal Generation
Yuan Wang, Yu Weng, Wengjian Liu. Lecture notes in computer science, 2025. Cites: paper

M-TSINR: Multiscale Implicit Neural Representations via Mamba Encoder for Time Series Anomaly Detection
Ke Liu, Mengxuan Li, Qianqian Shen et al. IEEE International Conference on Knowledge Graph (ICKG), 2025. Cites: paper

Evaluation of ChatGPT Models for Single-Lead Electrocardiogram Interpretation
Adam Osman, Soumil Prasad, Ryan Tie-Shue et al. Journal of General Internal Medicine, 2025. Cites: dataset, paper

Lightweight adaptive spatiotemporal information fusion network for medical time series classification
Fan Yang, Anping Zeng, Chunlin He et al. Pattern Recognition Letters, 2025. Cites: paper

TempoGPT: Enhancing time series reasoning in multi-modal language model via quantizing embedding
Haochuan Zhang, Chunhua Yang, Jie Han et al. Neurocomputing, 2025. Cites: paper

Deep Learning From Diffuse Optical Oximetry Time-Series: An fNIRS-Focused Review of Recent Advancements and Future Directions
Theekshana Dissanayake, Klaus‐Robert Müller, Alexander von Lühmann. IEEE Reviews in Biomedical Engineering, 2025. Cites: paper

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