ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.12676
  4. Cited By
Self-supervised representation learning from 12-lead ECG data

Self-supervised representation learning from 12-lead ECG data

23 March 2021
Temesgen Mehari
Nils Strodthoff
    SSL
ArXivPDFHTML

Papers citing "Self-supervised representation learning from 12-lead ECG data"

50 / 50 papers shown
Title
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring
Johnson Loh
Lyubov Dudchenko
Justus Viga
T. Gemmeke
57
0
0
12 Mar 2025
A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility
Guilherme Silva
Pedro H. L. Silva
Gladston J. P. Moreira
Vander L. S. Freitas
Jadson Gertrudes
Eduardo José da S. Luz
57
0
0
10 Mar 2025
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Salar Abbaspourazad
Anshuman Mishra
Joseph D. Futoma
Andrew C. Miller
Ian Shapiro
88
0
0
15 Dec 2024
Self-Supervised Learning with Probabilistic Density Labeling for
  Rainfall Probability Estimation
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
Junha Lee
Sojung An
Sujeong You
Namik Cho
73
0
0
08 Dec 2024
HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis
HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis
Saedeh Tahery
Fatemeh Hamid Akhlaghi
Termeh Amirsoleimani
OOD
80
1
0
08 Nov 2024
Considerations for Distribution Shift Robustness of Diagnostic Models in
  Healthcare
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
Arno Blaas
Adam Goliñski
Andrew C. Miller
Luca Zappella
J. Jacobsen
Christina Heinze-Deml
OOD
28
0
0
25 Oct 2024
Learning General Representation of 12-Lead Electrocardiogram with a
  Joint-Embedding Predictive Architecture
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture
Sehun Kim
31
1
0
11 Oct 2024
Estimating ECG Intervals from Lead-I Alone: External Validation of
  Supervised Models
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
Ridwan Alam
Collin M. Stultz
24
0
0
12 Aug 2024
Guidelines for Augmentation Selection in Contrastive Learning for Time
  Series Classification
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
Ziyu Liu
Azadeh Alavi
Minyi Li
Xiang Zhang
AI4TS
27
2
0
12 Jul 2024
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in
  Cardiovascular System Signals
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
Qihan Hu
Daomiao Wang
Hong Wu
Jian Liu
Cuiwei Yang
38
0
0
13 Jun 2024
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous
  Clinical Electrocardiogram Monitoring
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring
Thomas Kite
Uzair Tahamid Siam
Brian Ayers
Nicholas Houstis
Aaron D Aguirre
32
1
0
07 Jun 2024
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with
  LLM-Enhanced Cardiological Text
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
Han Yu
Peikun Guo
Akane Sano
34
15
0
26 May 2024
Modally Reduced Representation Learning of Multi-Lead ECG Signals
  through Simultaneous Alignment and Reconstruction
Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
Nabil Ibtehaz
Masood S. Mortazavi
21
0
0
24 May 2024
Automated Contrastive Learning Strategy Search for Time Series
Automated Contrastive Learning Strategy Search for Time Series
Baoyu Jing
Yansen Wang
Guoxin Sui
Jing Hong
Jingrui He
Yuqing Yang
Dongsheng Li
Kan Ren
AI4TS
32
6
0
19 Mar 2024
Guiding Masked Representation Learning to Capture Spatio-Temporal
  Relationship of Electrocardiogram
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Yeongyeon Na
Minje Park
Yunwon Tae
S. Joo
27
24
0
02 Feb 2024
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac
  and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
Nils Strodthoff
Juan Miguel Lopez Alcaraz
Wilhelm Haverkamp
19
0
0
18 Dec 2023
Large-scale Training of Foundation Models for Wearable Biosignals
Large-scale Training of Foundation Models for Wearable Biosignals
Salar Abbaspourazad
Oussama Elachqar
Andrew C. Miller
S. Emrani
Udhyakumar Nallasamy
Ian Shapiro
23
31
0
08 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of
  Augmentations for Self-Supervised Phonocardiogram Representation Learning
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas
Vasileios Papapanagiotou
Christos Diou
30
0
0
01 Dec 2023
IncepSE: Leveraging InceptionTime's performance with Squeeze and
  Excitation mechanism in ECG analysis
IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis
Tue Cao
Nhat Tran
Le Nguyen
Hieu Pham
Hung Nguyen
28
1
0
16 Nov 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
117
0
16 Oct 2023
Using explainable AI to investigate electrocardiogram changes during
  healthy aging -- from expert features to raw signals
Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals
Gabriel Ott
Yannik Schaubelt
Juan Miguel Lopez Alcaraz
Wilhelm Haverkamp
Nils Strodthoff
24
5
0
11 Oct 2023
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang
Nils Strodthoff
47
5
0
10 Oct 2023
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training
Che Liu
Zhongwei Wan
Sibo Cheng
Mi Zhang
Rossella Arcucci
27
36
0
06 Sep 2023
Masked Transformer for Electrocardiogram Classification
Masked Transformer for Electrocardiogram Classification
Ya Zhou
Xiaolin Diao
Yanni Huo
Yang Liu
Xiaohan Fan
Wei-Ye Zhao
MedIm
27
2
0
31 Aug 2023
Towards quantitative precision for ECG analysis: Leveraging state space
  models, self-supervision and patient metadata
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata
Temesgen Mehari
Nils Strodthoff
21
17
0
29 Aug 2023
Deep Metric Learning for the Hemodynamics Inference with
  Electrocardiogram Signals
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals
Hyewon Jeong
Collin M. Stultz
Marzyeh Ghassemi
25
4
0
09 Aug 2023
Liquidity takers behavior representation through a contrastive learning
  approach
Liquidity takers behavior representation through a contrastive learning approach
Rui Ruan
Emmanuel Bacry
Jean-François Muzy
17
0
0
09 Jun 2023
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing
  and Knowledge Discovery
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
Patrick Wagner
Temesgen Mehari
Wilhelm Haverkamp
Nils Strodthoff
34
18
0
26 May 2023
Subject-based Non-contrastive Self-Supervised Learning for ECG Signal
  Processing
Subject-based Non-contrastive Self-Supervised Learning for ECG Signal Processing
A. Atienza
J. Bardram
S. Puthusserypady
11
0
0
12 May 2023
Domain Adaptable Self-supervised Representation Learning on Remote
  Sensing Satellite Imagery
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery
M. Chopra
Prakash Chandra Chhipa
G. Mengi
Varun Gupta
Marcus Liwicki
SSL
25
1
0
19 Apr 2023
In-Distribution and Out-of-Distribution Self-supervised ECG
  Representation Learning for Arrhythmia Detection
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
S. Soltanieh
J. Hashemi
Ali Etemad
27
11
0
13 Apr 2023
Deep learning based ECG segmentation for delineation of diverse
  arrhythmias
Deep learning based ECG segmentation for delineation of diverse arrhythmias
Chankyu Joung
Mijin Kim
Taejin Paik
S. Kong
Seung-Young Oh
...
Joong-Sik Hong
Wan-Joong Kim
Woong Kook
M. Cha
Otto van Koert
16
5
0
13 Apr 2023
Frozen Language Model Helps ECG Zero-Shot Learning
Frozen Language Model Helps ECG Zero-Shot Learning
Jun Yu Li
Che Liu
Sibo Cheng
Rossella Arcucci
linda Qiao
18
59
0
22 Mar 2023
Towards Domain Generalization for ECG and EEG Classification: Algorithms
  and Benchmarks
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks
Aristotelis Ballas
Christos Diou
OOD
22
12
0
20 Mar 2023
A Dual-scale Lead-seperated Transformer With Lead-orthogonal Attention
  And Meta-information For Ecg Classification
A Dual-scale Lead-seperated Transformer With Lead-orthogonal Attention And Meta-information For Ecg Classification
Y. Li
Guijin Wang
Zhourui Xia
Wenming Yang
Li Sun
MedIm
29
1
0
23 Nov 2022
Pretraining ECG Data with Adversarial Masking Improves Model
  Generalizability for Data-Scarce Tasks
Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks
Jessica Y. Bo
Hen-Wei Huang
Alvin Chan
G. Traverso
MedIm
27
4
0
15 Nov 2022
Advancing the State-of-the-Art for ECG Analysis through Structured State
  Space Models
Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models
Temesgen Mehari
Nils Strodthoff
21
11
0
14 Nov 2022
Classification and Self-Supervised Regression of Arrhythmic ECG Signals
  Using Convolutional Neural Networks
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
B. Grabowski
P. Głomb
Wojciech Masarczyk
Pawel Plawiak
Ozal Yildirim
U. Acharya
Ruyan Tan
19
3
0
25 Oct 2022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning
LEAVES: Learning Views for Time-Series Data in Contrastive Learning
Han Yu
Huiyuan Yang
Akane Sano
AI4TS
35
5
0
13 Oct 2022
Multimodality Multi-Lead ECG Arrhythmia Classification using
  Self-Supervised Learning
Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
Thi-Thu-Hong Phan
Duc Le
Brijesh Patel
Donald Adjeroh
Jingxian Wu
M. Jensen
Ngan Le
19
11
0
30 Sep 2022
Transfer Learning Application of Self-supervised Learning in ARPES
Transfer Learning Application of Self-supervised Learning in ARPES
S. Ekahana
Genta Indra Winata
Y. Soh
G. Aeppli
Radovic Milan
Mingzhi Shi
20
5
0
23 Aug 2022
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG
  Classification with Convolutional Neural Networks
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks
Aristotelis Ballas
Christos Diou
OOD
11
6
0
20 Aug 2022
From Modern CNNs to Vision Transformers: Assessing the Performance,
  Robustness, and Classification Strategies of Deep Learning Models in
  Histopathology
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
Maximilian Springenberg
A. Frommholz
M. Wenzel
Eva Weicken
Jackie Ma
Nils Strodthoff
MedIm
25
42
0
11 Apr 2022
Data Augmentation for Electrocardiograms
Data Augmentation for Electrocardiograms
Aniruddh Raghu
Divya Shanmugam
E. Pomerantsev
John Guttag
Collin M. Stultz
21
18
0
09 Apr 2022
Lead-agnostic Self-supervised Learning for Local and Global
  Representations of Electrocardiogram
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram
Jungwoo Oh
Hyunseung Chung
Joon-Myoung Kwon
Dongwoo Hong
E. Choi
SSL
4
34
0
14 Mar 2022
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac
  Signals
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals
Xiang Lan
Dianwen Ng
linda Qiao
Mengling Feng
OOD
51
51
0
18 Sep 2021
Computer Vision Self-supervised Learning Methods on Time Series
Computer Vision Self-supervised Learning Methods on Time Series
Daesoo Lee
Technology
AI4TS
31
4
0
02 Sep 2021
3KG: Contrastive Learning of 12-Lead Electrocardiograms using
  Physiologically-Inspired Augmentations
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations
Bryan Gopal
Ryan Han
Gautham Raghupathi
A. Ng
G. Tison
Pranav Rajpurkar
MedIm
13
57
0
21 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
1