Temesgen Mehari

According to our database, Temesgen Mehari authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ECG Feature Importance Rankings: Cardiologists Vs. Algorithms.

Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston

IEEE J. Biomed. Health Informatics, April, 2024

Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery.

Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff

Comput. Biol. Medicine, 2024

2023

Towards Quantitative Precision for ECG Analysis: Leveraging State Space Models, Self-Supervision and Patient Metadata.

Temesgen Mehari, Nils Strodthoff

IEEE J. Biomed. Health Informatics, November, 2023

2022

Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models.

Temesgen Mehari, Nils Strodthoff

CoRR, 2022

Self-supervised representation learning from 12-lead ECG data.

Temesgen Mehari, Nils Strodthoff

Comput. Biol. Medicine, 2022

Multi-Class ECG Feature Importance Rankings: Cardiologists vs Algorithms.

Philip J. Aston, Temesgen Mehari, Alen Bosnjakovic, Peter M. Harris, Ashish Sundar, Steven E. Williams, Olaf Dössel, Axel Loewe, Claudia Nagel, Nils Strodthoff

Proceedings of the Computing in Cardiology, 2022

2020

Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training.

Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020