Temesgen Mehari

12 papers Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	ECG Feature Importance Rankings: Cardiologists Vs. Algorithms. IEEE J. Biomed. Health Informatics Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston
2024	J	`jnl`	Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery. Comput. Biol. Medicine Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff
2023	J	`jnl`	ECG Feature Importance Rankings: Cardiologists vs. Algorithms. CoRR Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston
2023	J	`jnl`	Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery. CoRR Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff
2023	J	`jnl`	Towards Quantitative Precision for ECG Analysis: Leveraging State Space Models, Self-Supervision and Patient Metadata. IEEE J. Biomed. Health Informatics Temesgen Mehari, Nils Strodthoff
2023	J	`jnl`	Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata. CoRR Temesgen Mehari, Nils Strodthoff
2022	J	`jnl`	Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models. CoRR Temesgen Mehari, Nils Strodthoff
2022	—	`conf`	Multi-Class ECG Feature Importance Rankings: Cardiologists vs Algorithms. CinC Philip J. Aston, Temesgen Mehari, Alen Bosnjakovic, Peter M. Harris, Ashish Sundar, Steven E. Williams, Olaf Dössel, Axel Loewe, Claudia Nagel, Nils Strodthoff
2022	J	`jnl`	Self-supervised representation learning from 12-lead ECG data. Comput. Biol. Medicine Temesgen Mehari, Nils Strodthoff
2021	J	`jnl`	Self-supervised representation learning from 12-lead ECG data. CoRR Temesgen Mehari, Nils Strodthoff
2020	—	`conf`	Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. CVPR Workshops Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek
2020	J	`jnl`	Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. CoRR Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek