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Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis

Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis

17 October 2023
Guoxin Wang
Qingyuan Wang
Ganesh Neelakanta Iyer
A. Nag
Deepu John
    SyDa
ArXivPDFHTML

Papers citing "Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis"

3 / 3 papers shown
Title
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
88
1
0
08 Nov 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
34
0
0
24 May 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,503
0
11 Nov 2021
1