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3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations

21 April 2021

Papers citing "3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations"

28 / 28 papers shown

Title
Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG Jiarui Jin Xiaocheng Fang Haoyu Wang Jun Yu Li Che Liu Donglin Xie Hongyan Li Zhiqin Jiang 70 0 0 23 Sep 2025
Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography Nooshin Maghsoodi Sarah Nassar P. Wilson Minh-Son To Sophia Mannina Shamel Addas Stephanie Sibley David Maslove Purang Abolmaesumi P. Mousavi 52 0 0 09 Sep 2025
ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models P. Nguyen Huy P Phan Hieu Pham Christos Chatzichristos Bert Vandenberk M. D. Vos MedIm 204 1 0 27 Aug 2025
Learning ECG Representations via Poly-Window Contrastive Learning Yi Yuan Joseph Van Duyn Runze Yan Zhuoyi Huang Sulaiman Vesal Sergey Plis Xiao Hu Gloria Hyunjung Kwak Ran Xiao A. Fedorov AI4TS 56 0 0 21 Aug 2025
Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Giuliana Monachino Nicolò La Porta Beatrice Zanchi Luigi Fiorillo Alvise Dei Rossi Georgiy Farina F. Faraci 103 0 0 03 Jul 2025
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling William Jongwon Han Chaojing Duan M. Rosenberg Emerson Liu Ding Zhao 324 3 0 18 Dec 2024
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation Salar Abbaspourazad Anshuman Mishra Joseph D. Futoma Andrew C. Miller Ian Shapiro 401 4 0 15 Dec 2024
Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition Hyewon Jeong Suyeol Yun Hammaad Adam 191 1 0 11 Nov 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta LearningACM Conference on Health, Inference, and Learning (CHIL), 2024 Jialu Tang Tong Xia Yuan Lu Cecilia Mascolo Aaqib Saeed AI4MH 293 4 0 18 Oct 2024
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals Rahul Thapa Bryan He Magnus Ruud Kjær IV HyattE.Moore Gauri Ganjoo Emmanuel Mignot James Zou 186 30 0 28 May 2024
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text Han Yu Peikun Guo Akane Sano 154 33 0 26 May 2024
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram Yeongyeon Na Minje Park Yunwon Tae S. Joo 218 60 0 02 Feb 2024
Event-Based Contrastive Learning for Medical Time SeriesMachine Learning in Health Care (MLHC), 2023 Hyewon Jeong Nassim Oufattole Matthew B. A. McDermott Aparna Balagopalan P. Chandak Marzyeh Ghassemi Collin M. Stultz 342 9 0 16 Dec 2023
Large-scale Training of Foundation Models for Wearable BiosignalsInternational Conference on Learning Representations (ICLR), 2023 Salar Abbaspourazad Oussama Elachqar Andrew C. Miller S. Emrani Udhyakumar Nallasamy Ian Shapiro 196 70 0 08 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation LearningIEEE Access (IEEE Access), 2023 Aristotelis Ballas Vasileios Papapanagiotou Christos Diou 223 2 0 01 Dec 2023
Riemannian Prediction of Anatomical Diagnoses in Congenital Heart Disease based on 12-lead ECGsIEEE International Symposium on Biomedical Imaging (ISBI), 2023 Muhammet Alkan G. Veldtman Fani Deligianni 74 1 0 27 Nov 2023
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadataIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 Temesgen Mehari Nils Strodthoff 102 24 0 29 Aug 2023
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram SignalsMachine Learning in Health Care (MLHC), 2023 Hyewon Jeong Collin M. Stultz Marzyeh Ghassemi 191 5 0 09 Aug 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time SeriesInternational Conference on Machine Learning (ICML), 2023 Aniruddh Raghu P. Chandak Ridwan Alam John Guttag Collin M. Stultz AI4TS 159 14 0 20 Jul 2023
ECG-QA: A Comprehensive Question Answering Dataset Combined With ElectrocardiogramNeural Information Processing Systems (NeurIPS), 2023 Jungwoo Oh Gyubok Lee Seongsu Bae Joon-Myoung Kwon Edward Choi 227 33 0 21 Jun 2023
ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural NetworksKnowledge-Based Systems (KBS), 2023 Michal Seják Jakub Sido David Zahour 149 2 0 09 Jun 2023
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia DetectionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 S. Soltanieh J. Hashemi Ali Etemad 206 21 0 13 Apr 2023
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report Jielin Qiu Jiacheng Zhu Shiqi Liu William Jongwon Han Jingqi Zhang Chaojing Duan Michael A. Rosenberg Emerson Liu Douglas Weber Ding Zhao 121 0 0 13 Apr 2023
Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks Jessica Y. Bo Hen-Wei Huang Alvin Chan G. Traverso MedIm 211 6 0 15 Nov 2022
LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning Han Yu Huiyuan Yang Akane Sano AI4TS 158 5 0 13 Oct 2022
Analysis of Augmentations for Contrastive ECG Representation LearningIEEE International Joint Conference on Neural Network (IJCNN), 2022 S. Soltanieh Ali Etemad J. Hashemi SSL 91 26 0 30 May 2022
Data Augmentation for ElectrocardiogramsACM Conference on Health, Inference, and Learning (ACM CHIL), 2022 Aniruddh Raghu Divya Shanmugam E. Pomerantsev John Guttag Collin M. Stultz 175 28 0 09 Apr 2022
Lead-agnostic Self-supervised Learning for Local and Global Representations of ElectrocardiogramACM Conference on Health, Inference, and Learning (ACM CHIL), 2022 Jungwoo Oh Hyunseung Chung Joon-Myoung Kwon Dongwoo Hong Edward Choi SSL 177 56 0 14 Mar 2022