Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria

3 November 2022

Papers citing "Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria"

7 / 7 papers shown

Title
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification Zuraiz Baig Sidra Nasir Rizwan Ahmed Khan Muhammad Zeeshan Ul Haque FAtt 37 0 0 30 Apr 2025
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis Ziyu Wang Elahe Khatibi Kianoosh Kazemi Iman Azimi Sanaz R. Mousavi Shaista Malik Amir M. Rahmani 42 0 0 11 Mar 2025
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review Abdullah Alharthi Ahmed Alqurashi Turki Alharbi Mohammed Alammar Nasser Aldosari Houssem Bouchekara Yusuf Shaaban Mohammad Shoaib Shahriar Abdulrahman Al Ayidh 39 0 0 11 Sep 2024
Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals Gabriel Ott Yannik Schaubelt Juan Miguel Lopez Alcaraz Wilhelm Haverkamp Nils Strodthoff 24 5 0 11 Oct 2023
Learning ECG signal features without backpropagation Péter Pósfay M. T. Kurbucz Péter Kovács Antal Jakovác SSL AI4TS 13 1 0 04 Jul 2023
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery Patrick Wagner Temesgen Mehari Wilhelm Haverkamp Nils Strodthoff 39 18 0 26 May 2023
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG Theresa Bender Philip Gemke Ennio Idrobo-Ávila Henning Dathe D. Krefting Nicolai Spicher 9 2 0 24 Mar 2023