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Automatic diagnosis of the 12-lead ECG using a deep neural network

Automatic diagnosis of the 12-lead ECG using a deep neural network

2 April 2019
Antônio H. Ribeiro
Manoel Horta Ribeiro
Gabriela M. M. Paixão
D. Oliveira
P. R. Gomes
Jéssica A. Canazart
Milton P. S. Ferreira
Carl R. Andersson
P. Macfarlane
W. Meira Jr.
Thomas B. Schon
A. L. Ribeiro
ArXivPDFHTML

Papers citing "Automatic diagnosis of the 12-lead ECG using a deep neural network"

25 / 75 papers shown
Title
ECG-Based Electrolyte Prediction: Evaluating Regression and
  Probabilistic Methods
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods
Philipp Bachmann
Daniel Gedon
Fredrik K. Gustafsson
Antônio H. Ribeiro
E. Lampa
S. Gustafsson
Johan Sundström
Thomas B. Schon
31
1
0
21 Dec 2022
Deep conv-attention model for diagnosing left bundle branch block from 12-lead electrocardiograms
Ali Sadeghi
A. Rezaee
F. Hajati
22
1
0
07 Dec 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
29
11
0
14 Nov 2022
Improving ECG-based COVID-19 diagnosis and mortality predictions using
  pre-pandemic medical records at population-scale
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale
Weijie Sun
Sunil Vasu Kalmady
N. Sepehrvand
L. Chu
Zihan Wang
Amir Salimi
Abram Hindle
Russ Greiner
Padma Kaul
18
5
0
14 Nov 2022
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals
  Learned Features Similar to Diagnostic Criteria
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria
Theresa Bender
J. Beinecke
D. Krefting
Carolin Müller
Henning Dathe
T. Seidler
Nicolai Spicher
Anne-Christin Hauschild
FAtt
19
26
0
03 Nov 2022
Efficient ECG-based Atrial Fibrillation Detection via Parameterised
  Hypercomplex Neural Networks
Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks
Leonie Basso
Zhao Ren
Wolfgang Nejdl
31
2
0
27 Oct 2022
Class-Specific Explainability for Deep Time Series Classifiers
Class-Specific Explainability for Deep Time Series Classifiers
Ramesh Doddaiah
Prathyush S. Parvatharaju
Elke A. Rundensteiner
Thomas Hartvigsen
FAtt
AI4TS
37
4
0
11 Oct 2022
ECG for high-throughput screening of multiple diseases: Proof-of-concept
  using multi-diagnosis deep learning from population-based datasets
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets
Weijie Sun
Sunil Vasu Kalmady
Amir Salimi
N. Sepehrvand
Eric Ly
Abram Hindle
Russ Greiner
Padma Kaul
11
8
0
06 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
32
11
0
30 Sep 2022
On Merging Feature Engineering and Deep Learning for Diagnosis,
  Risk-Prediction and Age Estimation Based on the 12-Lead ECG
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG
Eran Zvuloni
Jesse Read
Antônio H. Ribeiro
A. L. Ribeiro
Joachim A. Behar
20
21
0
13 Jul 2022
Identifying Electrocardiogram Abnormalities Using a
  Handcrafted-Rule-Enhanced Neural Network
Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network
Yu Bian
Jintai Chen
Xiaojun Chen
Xiaoxian Yang
Da Chen
Jian Wu
36
9
0
16 Jun 2022
Detection of Fibrosis in Cine Magnetic Resonance Images Using Artificial
  Intelligence Techniques
Detection of Fibrosis in Cine Magnetic Resonance Images Using Artificial Intelligence Techniques
A. Curiale
Facundo Cabrera
Pablo Jimenez
Jorgelina Medus
G. Mato
Matías Calandrelli
14
0
0
03 Jun 2022
Investigating Deep Learning Benchmarks for Electrocardiography Signal
  Processing
Investigating Deep Learning Benchmarks for Electrocardiography Signal Processing
Hao Wen
Ji-Su Kang
15
5
0
09 Apr 2022
Defending Against Adversarial Attack in ECG Classification with
  Adversarial Distillation Training
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training
Jiahao Shao
Shijia Geng
Zhaoji Fu
Wei-Zhao Xu
Tong Liu
linda Qiao
AAML
13
4
0
14 Mar 2022
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification
  with Rejection from ECG Recordings
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings
Wen-Rang Zhang
Xinxin Di
Guodong Wei
Shijia Geng
Zhaoji Fu
linda Qiao
UQCV
BDL
21
2
0
26 Feb 2022
Improving ECG Classification Interpretability using Saliency Maps
Improving ECG Classification Interpretability using Saliency Maps
Yola Jones
F. Deligianni
Jeffrey Stephen Dalton
FAtt
25
19
0
10 Jan 2022
Energy-Efficient Real-Time Heart Monitoring on Edge-Fog-Cloud
  Internet-of-Medical-Things
Energy-Efficient Real-Time Heart Monitoring on Edge-Fog-Cloud Internet-of-Medical-Things
B. U. Demirel
Islam Abdelsalam Bayoumy
Mohammad Abdullah Al Faruque
14
21
0
15 Dec 2021
Analysis of an adaptive lead weighted ResNet for multiclass
  classification of 12-lead ECGs
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs
Zhibin Zhao
D. Murphy
H. Gifford
Stefan Williams
Annie Darlington
Samuel D. Relton
H. Fang
D. Wong
13
10
0
01 Dec 2021
SIM-ECG: A Signal Importance Mask-driven ECGClassification System
SIM-ECG: A Signal Importance Mask-driven ECGClassification System
K. Dharma
Chicheng Zhang
C. Gniady
P. Agarwal
Sushil Sharma
31
0
0
28 Oct 2021
Robustness of convolutional neural networks to physiological ECG noise
Robustness of convolutional neural networks to physiological ECG noise
Jenny Venton
P. Harris
A. Sundar
N. Smith
P. Aston
39
26
0
02 Aug 2021
Patient Contrastive Learning: a Performant, Expressive, and Practical
  Approach to ECG Modeling
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling
N. Diamant
Erik Reinertsen
S. Song
Aaron D Aguirre
Collin M. Stultz
P. Batra
29
40
0
09 Apr 2021
Addressing catastrophic forgetting for medical domain expansion
Addressing catastrophic forgetting for medical domain expansion
Sharut Gupta
Praveer Singh
Ken Chang
Liangqiong Qu
M. Aggarwal
...
J. Patel
Charles Lu
Christopher P. Bridge
D. Rubin
Jayashree Kalpathy-Cramer
OOD
34
17
0
24 Mar 2021
Self-supervised representation learning from 12-lead ECG data
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari
Nils Strodthoff
SSL
21
141
0
23 Mar 2021
Representing and Denoising Wearable ECG Recordings
Representing and Denoising Wearable ECG Recordings
J. Chan
Andrew C. Miller
E. Fox
8
3
0
30 Nov 2020
Inferring respiratory and circulatory parameters from electrical
  impedance tomography with deep recurrent models
Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models
Nils Strodthoff
C. Strodthoff
T. Becher
N. Weiler
I. Frerichs
6
8
0
19 Oct 2020
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