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Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review
28 December 2019
linda Qiao
Yuxi Zhou
Junyuan Shang
Cao Xiao
Jimeng Sun
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Papers citing
"Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review"
12 / 12 papers shown
Deep Neural Networks Generalization and Fine-Tuning for 12-lead ECG Classification
Biomedical Signal Processing and Control (BSPC), 2023
A. Avetisyan
Shahane Tigranyan
A. Asatryan
O. Mashkova
Sergey Skorik
V. Ananev
Yury Markin
LM&MA
114
10
0
19 May 2023
Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks
European Signal Processing Conference (EUSIPCO), 2022
Leonie Basso
Zhao Ren
Wolfgang Nejdl
309
3
0
27 Oct 2022
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks
Patterns (Patterns), 2022
Chenxi Sun
Hongyan Li
Moxian Song
D. Cai
B. Zhang
linda Qiao
148
10
0
06 Oct 2022
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Biomedical Signal Processing and Control (BSPC), 2022
Khiem H. Le
Hieu H. Pham
Thao BT. Nguyen
Tu Nguyen
T. Thanh
Cuong D. Do
171
50
0
25 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification
Patterns (Patterns), 2022
Christopher Wiedeman
Ge Wang
OOD
311
3
0
19 Jul 2022
Synthetic ECG Signal Generation Using Generative Neural Networks
PLoS ONE (PLOS ONE), 2021
Edmond Adib
Fatemeh Afghah
John J. Prevost
164
29
0
05 Dec 2021
Robustness of convolutional neural networks to physiological ECG noise
Jenny Venton
P. Harris
A. Sundar
N. Smith
P. Aston
137
28
0
02 Aug 2021
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari
Nils Strodthoff
SSL
288
179
0
23 Mar 2021
Noise-Resilient Automatic Interpretation of Holter ECG Recordings
International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), 2020
K. Egorov
Elena Sokolova
Manvel Avetisian
Alexander Tuzhilin
88
1
0
17 Nov 2020
Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram
iScience (iScience), 2020
Dongdong Zhang
Xiaohui Yuan
Ping Zhang
144
140
0
20 Oct 2020
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
Knowledge Discovery and Data Mining (KDD), 2020
linda Qiao
Yanbo Xu
Alind Khare
Satria Priambada
K. Maher
Alaa Aljiffry
Jimeng Sun
Alexey Tumanov
OOD
171
101
0
10 Aug 2020
CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram
linda Qiao
Zhaoji Fu
Rongbo Zhou
Jie Yu
Yongkui Li
Kai Wang
Guanlin Cheng
126
22
0
04 Jul 2020
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