Publications citing Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 v1.0.2

Synthetic ECG signals generation: A scoping review
Beatrice Zanchi, Giuliana Monachino, Luigi Fiorillo et al. Computers in Biology and Medicine, 2024. Cites: paper

HuBERT-ECG as a self-supervised foundation model for broad and scalable cardiac applications
Edoardo Coppola, Mattia Savardi, Mauro Massussi et al. medRxiv, 2024. Cites: paper

Comparing ECG Lead Subsets for Heart Arrhythmia/ECG Pattern Classification: Convolutional Neural Networks and Random Forest
Serhii Reznichenko, John Whitaker, Zixuan Ni et al. CJC Open, 2024. Cites: paper

EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms
Jianhui Peng, Ao Ran, Chenjin Yu et al. EURASIP Journal on Advances in Signal Processing, 2024. Cites: paper

Spatial Characteristics Analysis and Visualization for Brain Networks of Motor Imagery Based on Graph Convolutional Neural Networks
Yuhang Pan, Li Huitong Xie, Daming Wang. International Congress on Image and Signal Processing (CISP), 2024. Cites: paper

Empirical investigation of multi-source cross-validation in clinical ECG classification
Tuija Leinonen, David Wong, Antti Vasankari et al. Computers in Biology and Medicine, 2024. Cites: paper

A Novel WTS-EDC Network for Multi-Source ECG Signal Classification
Ankur Rana, Vivek Kumar, Anish Gupta. Journal of The Institution of Engineers (India) Series B, 2024. Cites: paper

Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle et al. Information Fusion, 2024. Cites: paper

3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection
Alireza Sadeghi, Farshid Hajati, Alireza Rezaee et al. Computers in Biology and Medicine, 2024. Cites: paper

Classification of Cardiac Arrhythmias Using CNN-LSTM Networks and Wide Features
Huzair Ahmad Naseery, Murat Ekіncі. International Students Science Congress (ISSC), 2024. Cites: paper

Explainable Artificial Intelligence on Biosignals for Clinical Decision Support
Miriam Cindy Maurer, Jacqueline Michelle Metsch, Philip Hempel et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024. Cites: paper

HRIDM: Hybrid Residual/Inception-Based Deeper Model for Arrhythmia Detection from Large Sets of 12-Lead ECG Recordings
Syed Atif Moqurrab, Hari Mohan Rai, Joon Yoo. Algorithms, 2024. Cites: paper

Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
Ridwan Alam, Collin M. Stultz. medRxiv, 2024. Cites: paper

Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs
Fuze Tian, Lixin Zhang, Lixian Zhu et al. IEEE Transactions on Computational Social Systems, 2024. Cites: paper

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. Cites: paper

Delineation of 12-Lead ECG Representative Beats Using Convolutional Encoder–Decoders with Residual and Recurrent Connections
Vessela Krasteva, Todor Stoyanov, Ramun Schmid et al. Sensors, 2024. Cites: paper

Open-world electrocardiogram classification via domain knowledge-driven contrastive learning
Shuang Zhou, Xiao Xia Huang, Ninghao Liu et al. Neural Networks, 2024. Cites: paper

Clinical Assessment of a Lightweight CNN Model for Real-Time Atrial Fibrillation Prediction in Continuous Wearable Monitoring
Quenaz Bezerra Soares, Douglas A Andrade, Estela Ribeiro et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

An active learning enhanced data programming (ActDP) framework for ECG time series
Priyanka Gupta, Manik Gupta, Vijay Kumar. Machine Learning Science and Technology, 2024. Cites: paper

Multi-expert ensemble ECG diagnostic algorithm using mutually exclusive–symbiotic correlation between 254 hierarchical multiple labels
Jiewei Lai, Yue Zhang, Chenyu Zhao et al. npj Cardiovascular Health, 2024. Cites: paper

Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring
Johnson Loh, Lyubov Dudchenko, Justus Viga et al. IEEE Transactions on Biomedical Circuits and Systems, 2024. Cites: paper

Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
M. U. Sreeja, Abin Oommen Philip, M. H. Supriya. Journal of King Saud University - Computer and Information Sciences, 2024. Cites: paper

Detection of multiple cardiac abnormalities using Convolution, Positional Encoder and Transformer on 12-lead ECG recordings
Adam Ford, Jessica Lan, Kyle Kai Ho Ng. medRxiv, 2024. Cites: paper

MELEP: A Novel Predictive Measure of Transferability in Multi-label ECG Diagnosis
Cuong V. Nguyen, Hieu Minh Duong, Cuong Do. Journal of Healthcare Informatics Research, 2024. Cites: paper

xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features
Marc Goettling, Alexander Hammer, Hagen Malberg et al. Scientific Reports, 2024. Cites: paper

A Cross-Stage Partial Network and a Cross-Attention-Based Transformer for an Electrocardiogram-Based Cardiovascular Disease Decision System
Chien-Ching Lee, Chia-Chun Chuang, Chia-Hong Yeng et al. Bioengineering, 2024. Cites: paper

A Task-Generic High-Performance Unsupervised Pre-Training Framework for ECG
Guoxin Wang, Qingyuan Wang, Avishek Nag et al. IEEE Sensors Journal, 2024. Cites: paper

SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
Sergey Skorik, Aram Avetisyan. Ivannikov Memorial Workshop (IVMEM), 2024. Cites: paper

ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization
Kshama Kodthalu Shivashankara, Deepanshi Deepanshi, Afagh Mehri Shervedani et al. Physiological Measurement, 2024. Cites: paper

Temporal Heart Rhythm Clusters and Physiomorphic Age Mapping: A Deep Learning Approach to Cardiovascular Risk Stratification
Gouthamaan Manimaran, Sadasivan K Puthusserypady, Helena Domínguez et al. medRxiv, 2024. Cites: paper

Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning
Atirut Boribalburephan, Sukrit Treewaree, Noppawat Tantisiriwat et al. Scientific Reports, 2024. Cites: paper

Cardiac Health Monitoring with Machine Learning: ECG-Based Disease Detection
Prof. Pravin S. Bhagat, Harsh M. Mishra, Prajwal D. Lode et al. International Journal of Advanced Research in Science Communication and Technology, 2024. Cites: paper

Ultra-Low Power Analog Folded Neural Network for Cardiovascular Health Monitoring
Yung-Ting Hsieh, Khizar Anjum, Dario Pompili. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Criticality-aware Deconfounded Classification of Long-tailed Multi-label 12-lead Electrocardiogram
Trisrota Deb, Ishan Sahu, Arijit Ukil et al. IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2024. Cites: paper

Continual learning framework for a multicenter study with an application to electrocardiogram
Junmo Kim, Min Hyuk Lim, Kwangsoo Kim et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

A new approach for heart disease detection using Motif transform-based CWT’s time-frequency images with DenseNet deep transfer learning methods
Hazret Tekin, Yılmaz Kaya. Biomedizinische Technik/Biomedical Engineering, 2024. Cites: paper

Cost-sensitive learning for imbalanced medical data: a review
Imane Araf, Ali Idri, Ikram Chairi. Artificial Intelligence Review, 2024. Cites: paper

A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
Utkarsh Gupta, Naveen Paluru, Deepankar Nankani et al. Heliyon, 2024. Cites: paper

Comprehensive Cardiac Ischemia Classification Using Hybrid CNN-Based Models
Abdelmalek Makhir, My Hachem El Yousfi Alaoui, Larbi Bellarbi. International Journal of Online and Biomedical Engineering (iJOE), 2024. Cites: paper

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan et al. CAAI Transactions on Intelligence Technology, 2024. Cites: paper

Learning with incomplete labels of multisource datasets for ECG classification
Qince Li, Yang Liu, Ze Zhang et al. Pattern Recognition, 2024. Cites: paper

SleepMI: An AI-based screening algorithm for myocardial infarction using nocturnal electrocardiography
Youngtae Kim, Hoon Jo, Tae Gwan Jang et al. Heliyon, 2024. Cites: paper

Enhancing Atrial Fibrillation Prediction Using Multimodal Neural Networks and XGBoost Integration
Araz Rawshani, Aidin Rawshani, J. Gustav Smith et al. Research Square, 2024. Cites: paper

Classification feasibility test on multi-lead electrocardiography signals generated from single-lead electrocardiography signals
Gi-Won Yoon, Segyeong Joo. Scientific Reports, 2024. Cites: paper

A transferable in-silico augmented ischemic model for virtual myocardial perfusion imaging and myocardial infarction detection
Zeus Harnod, Chen Lin, Hui-Wen Yang et al. Medical Image Analysis, 2024. Cites: paper

Reduced lead ECG multi-label classification with higher generalization using 2D SEResnets with self attention
Danish Sheikh, Himanshu Verma, Naveen Chauhan. Multimedia Tools and Applications, 2024. Cites: paper

Multi-expert ensemble ECG diagnostic algorithm using mutually exclusive-symbiotic correlation between 254 hierarchical multiple labels
Wei Yang, Jiewei Lai, Yue Zhang et al. Research Square, 2024. Cites: paper

Continual Learning with Deep Neural Networks in Physiological Signal Data: A Survey
Ao Li, Huayu Li, Geng Yuan. Healthcare, 2024. Cites: paper

Cardiac abnormalities from 12‐Lead ECG signals prediction based on deep convolutional neural network optimized with nomadic people optimization algorithm
S. V. Evangelin Sonia, Raju Nedunchezhian, M. Rajalakshmi. International Journal of Adaptive Control and Signal Processing, 2024. Cites: paper

Open source and reproducible and inexpensive infrastructure for data challenges and education
Peter E. DeWitt, Margaret N. Rebull, Tellen D. Bennett. Scientific Data, 2024. Cites: paper

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