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1710.06319
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Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks
17 October 2017
Patrick Schwab
G. Scebba
Jia Zhang
Marco Delai
W. Karlen
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Papers citing
"Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks"
18 / 18 papers shown
CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
Berat Kutay Uğraş
Ömer Nezih Gerek
İbrahim Talha Saygı
MedIm
204
2
0
26 May 2025
MSW-Transformer: Multi-Scale Shifted Windows Transformer Networks for 12-Lead ECG Classification
Ren-Wei Cheng
Zhemin Zhuang
Shuxin Zhuang
Linfu Xie
Jingfeng Guo
MedIm
143
10
0
21 Jun 2023
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2021
Likith Reddy
V. Talwar
S. Alle
R. Bapi
U. Priyakumar
81
27
0
06 Apr 2022
NeuroView-RNN: It's About Time
Conference on Fairness, Accountability and Transparency (FAccT), 2022
C. Barberan
Sina Alemohammad
Naiming Liu
Randall Balestriero
Richard G. Baraniuk
AI4TS
HAI
196
2
0
23 Feb 2022
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals
Information Fusion (Inf. Fusion), 2020
Yassin Khalifa
Danilo P. Mandic
E. Sejdić
142
53
0
11 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey
ACM Computing Surveys (ACM CSUR), 2020
Tharindu Fernando
Harshala Gammulle
Akila Pemasiri
Sridha Sridharan
Clinton Fookes
OOD
426
363
0
04 Dec 2020
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
IEEE journal of biomedical and health informatics (JBHI), 2020
Zina M. Ibrahim
D. Bean
Thomas Searle
Honghan Wu
Anthony Shek
Z. Kraljevic
J. Galloway
S. Norton
J. Teo
Richard J. B. Dobson
138
22
0
18 Nov 2020
Clinical Predictive Models for COVID-19: Systematic Study
Patrick Schwab
August DuMont Schütte
Benedikt Dietz
Stefan Bauer
OOD
ELM
274
35
0
17 May 2020
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
IEEE journal of biomedical and health informatics (JBHI), 2020
Patrick Schwab
W. Karlen
226
27
0
02 Jan 2020
Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review
linda Qiao
Yuxi Zhou
Junyuan Shang
Cao Xiao
Jimeng Sun
365
156
0
28 Dec 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Neural Information Processing Systems (NeurIPS), 2019
Patrick Schwab
W. Karlen
FAtt
CML
355
230
0
27 Oct 2019
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
International Joint Conference on Artificial Intelligence (IJCAI), 2019
linda Qiao
Cao Xiao
Tengfei Ma
Hongyan Li
Jimeng Sun
263
74
0
27 May 2019
Deep Learning in Cardiology
Paschalis A. Bizopoulos
D. Koutsouris
MedIm
291
152
0
22 Feb 2019
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
Saeed Saadatnejad
M. Oveisi
Matin Hashemi
162
341
0
12 Dec 2018
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data
Patrick Schwab
W. Karlen
136
47
0
01 Oct 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu
Siddharth Biswal
S. Deshpande
K. Maher
Jimeng Sun
171
184
0
23 Jul 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patrick Schwab
E. Keller
C. Muroi
David J. Mack
C. Strässle
W. Karlen
211
23
0
14 Feb 2018
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
Patrick Schwab
Djordje Miladinovic
W. Karlen
CML
331
60
0
06 Feb 2018
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