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Data Augmentation for Electrocardiograms

Data Augmentation for Electrocardiograms

ACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
9 April 2022
Aniruddh Raghu
Divya Shanmugam
E. Pomerantsev
John Guttag
Collin M. Stultz
ArXiv (abs)PDFHTML

Papers citing "Data Augmentation for Electrocardiograms"

11 / 11 papers shown
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram TasksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yuan Gao
Sangwook Kim
Chris McIntosh
120
0
0
30 Sep 2025
MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays,
  ECGs, and Diagnostic Report
MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic Report
Samrajya Thapa
Koushik Howlader
Subhankar Bhattacharjee
Wei le
MedIm
345
5
0
21 Oct 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive
  Policies For Time Series
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
Tien-Yu Chang
Hao Dai
Vincent S. Tseng
AI4TS
190
0
0
01 Apr 2024
Learning Beyond Similarities: Incorporating Dissimilarities between
  Positive Pairs in Self-Supervised Time Series Learning
Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning
A. Atienza
J. Bardram
S. Puthusserypady
AI4TS
114
0
0
14 Sep 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time
  Series
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
245
15
0
20 Jul 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases
  Prediction:A Multi-Dataset Study
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset StudyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Rushuang Zhou
Lei Lu
Zijun Liu
Ting Xiang
Zhen Liang
David Clifton
Yining Dong
Yuanyuan Zhang
169
19
0
18 Jun 2023
Automated Cardiovascular Record Retrieval by Multimodal Learning between
  Electrocardiogram and Clinical Report
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
151
0
0
13 Apr 2023
PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation
PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge DistillationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Tin-Han Chi
Kai-Chun Liu
Chia-Yeh Hsieh
Yu Tsao
Chia-Tai Chan
167
22
0
07 Mar 2023
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for
  Robust Electrocardiogram Prediction
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram PredictionMachine Learning in Health Care (MLHC), 2022
Jiacheng Zhu
Jielin Qiu
Zhuolin Yang
Douglas Weber
M. Rosenberg
Emerson Liu
Yue Liu
Ding Zhao
OOD
181
13
0
02 Aug 2022
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through
  Optimal Transport Augmentation
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport AugmentationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Peide Huang
Michael A. Rosenberg
Douglas Weber
Emerson Liu
Ding Zhao
206
7
0
25 Jan 2022
Learning Augmentation Distributions using Transformed Risk Minimization
Learning Augmentation Distributions using Transformed Risk Minimization
Evangelos Chatzipantazis
Stefanos Pertigkiozoglou
Kostas Daniilidis
Guang Cheng
294
17
0
16 Nov 2021
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