Nils Strodthoff

According to our database, Nils Strodthoff authored at least 35 papers between 2017 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

SonicGuard Sensor - A Multichannel Acoustic Sensor for Long-Term Monitoring of Abdominal Sounds Examined through a Qualification Study.

Zahra Mansour, Verena N. Uslar, Dirk Weyhe, Danilo Hollosi, Nils Strodthoff

Sensors, March, 2024

Assessing the importance of long-range correlations for deep-learning-based sleep staging.

Tiezhi Wang, Nils Strodthoff

CoRR, 2024

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks.

Stefan Blücher, Johanna Vielhaben, Nils Strodthoff

CoRR, 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

Diffusion-based conditional ECG generation with structured state space models.

Juan Miguel Lopez Alcaraz, Nils Strodthoff

Comput. Biol. Medicine, September, 2023

Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models.

Juan Miguel Lopez Alcaraz, Nils Strodthoff

Trans. Mach. Learn. Res., 2023

From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology.

Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, Nils Strodthoff

Medical Image Anal., 2023

Cardiac and extracardiac discharge diagnosis prediction from emergency department ECGs using deep learning.

Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp

CoRR, 2023

Uncovering ECG Changes during Healthy Aging using Explainable AI.

Gabriel Ott, Yannik Schaubelt, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff

CoRR, 2023

S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models.

Tiezhi Wang, Nils Strodthoff

CoRR, 2023

Insights Into the Inner Workings of Transformer Models for Protein Function Prediction.

Markus Wenzel, Erik Grüner, Nils Strodthoff

CoRR, 2023

Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery.

Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff

CoRR, 2023

Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees.

Johanna Vielhaben, Stefan Blücher, Nils Strodthoff

CoRR, 2023

2022

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

Temesgen Mehari, Nils Strodthoff

CoRR, 2022

Sparse Subspace Clustering for Concept Discovery (SSCCD).

Johanna Vielhaben, Stefan Blücher, Nils Strodthoff

CoRR, 2022

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

Temesgen Mehari, Nils Strodthoff

Comput. Biol. Medicine, 2022

PredDiff: Explanations and interactions from conditional expectations.

Stefan Blücher, Johanna Vielhaben, Nils Strodthoff

Artif. Intell., 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

2021

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL.

Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek

IEEE J. Biomed. Health Informatics, 2021

Inferring Respiratory and Circulatory Parameters from Electrical Impedance Tomography With Deep Recurrent Models.

Nils Strodthoff, Claas Strodthoff, Tobias Becher, Norbert Weiler, Inéz Frerichs

IEEE J. Biomed. Health Informatics, 2021

On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy.

Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek

CoRR, 2021

Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks.

Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff

CoRR, 2021

PredDiff: Explanations and Interactions from Conditional Expectations.

Stefan Blücher, Nils Strodthoff

CoRR, 2021

2020

Generative Neural Samplers for the Quantum Heisenberg Chain.

Johanna Vielhaben, Nils Strodthoff

CoRR, 2020

Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning.

Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban

CoRR, 2020

USMPep: universal sequence models for major histocompatibility complex binding affinity prediction.

Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff

BMC Bioinform., 2020

UDSMProt: universal deep sequence models for protein classification.

Nils Strodthoff, Patrick Wagner, Markus Wenzel, Wojciech Samek

Bioinform., 2020

2019

Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G.

Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek

IEEE J. Sel. Areas Commun., 2019

Asymptotically Unbiased Generative Neural Sampling.

Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel

CoRR, 2019

Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling.

Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima

CoRR, 2019

Achieving Generalizable Robustness of Deep Neural Networks by Stability Training.

Jan Laermann, Wojciech Samek, Nils Strodthoff

Proceedings of the Pattern Recognition, 2019

2018

Detecting and interpreting myocardial infarctions using fully convolutional neural networks.

Nils Strodthoff, Claas Strodthoff

CoRR, 2018

Machine Learning for Early HARQ Feedback Prediction in 5G.

Nils Strodthoff, Baris Göktepe, Thomas Schierl, Wojciech Samek, Cornelius Hellge

Proceedings of the IEEE Globecom Workshops, 2018

2017

FormTracer. A mathematica tracing package using FORM.

Anton K. Cyrol, Mario Mitter, Nils Strodthoff

Comput. Phys. Commun., 2017