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Detecting and interpreting myocardial infarction using fully
  convolutional neural networks

Detecting and interpreting myocardial infarction using fully convolutional neural networks

18 June 2018
Nils Strodthoff
C. Strodthoff
ArXivPDFHTML

Papers citing "Detecting and interpreting myocardial infarction using fully convolutional neural networks"

5 / 5 papers shown
Title
Explainable AI for Time Series via Virtual Inspection Layers
Explainable AI for Time Series via Virtual Inspection Layers
Johanna Vielhaben
Sebastian Lapuschkin
G. Montavon
Wojciech Samek
XAI
AI4TS
10
24
0
11 Mar 2023
Improving ECG Classification Interpretability using Saliency Maps
Improving ECG Classification Interpretability using Saliency Maps
Yola Jones
F. Deligianni
Jeffrey Stephen Dalton
FAtt
16
19
0
10 Jan 2022
Towards Similarity-Aware Time-Series Classification
Towards Similarity-Aware Time-Series Classification
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Xia Hu
AI4TS
13
24
0
05 Jan 2022
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
AI4CE
47
2,627
0
12 Sep 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
228
2,231
0
24 Jun 2017
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