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ORCIDTemesgen Mehari
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2020 – today
- 2024
[j4]Patrick Wagner, Temesgen Mehari
, Wilhelm Haverkamp, Nils Strodthoff:
Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery. Comput. Biol. Medicine 176: 108525 (2024)- [j3]Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston:
ECG Feature Importance Rankings: Cardiologists Vs. Algorithms. IEEE J. Biomed. Health Informatics 28(4): 2014-2024 (2024) - 2023
- [j2]Temesgen Mehari, Nils Strodthoff:
Towards Quantitative Precision for ECG Analysis: Leveraging State Space Models, Self-Supervision and Patient Metadata. IEEE J. Biomed. Health Informatics 27(11): 5326-5334 (2023) - [i6]Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston:
ECG Feature Importance Rankings: Cardiologists vs. Algorithms. CoRR abs/2304.02577 (2023) - [i5]Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff:
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery. CoRR abs/2305.17043 (2023) - [i4]Temesgen Mehari, Nils Strodthoff:
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata. CoRR abs/2308.15291 (2023) - 2022
- [j1]Temesgen Mehari, Nils Strodthoff:
Self-supervised representation learning from 12-lead ECG data. Comput. Biol. Medicine 141: 105114 (2022) - [c2]Philip J. Aston, Temesgen Mehari, Alen Bosnjakovic, Peter M. Harris, Ashish Sundar, Steven E. Williams, Olaf Dössel, Axel Loewe, Claudia Nagel, Nils Strodthoff:
Multi-Class ECG Feature Importance Rankings: Cardiologists vs Algorithms. CinC 2022: 1-4 - [i3]Temesgen Mehari, Nils Strodthoff:
Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models. CoRR abs/2211.07579 (2022) - 2021
- [i2]Temesgen Mehari, Nils Strodthoff:
Self-supervised representation learning from 12-lead ECG data. CoRR abs/2103.12676 (2021) - 2020
- [c1]Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek:
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. CVPR Workshops 2020: 3096-3104 - [i1]Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek:
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. CoRR abs/2004.04729 (2020)
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