Nils Strodthoff

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 51

Top Topics

Diffusion Model

Protein Classification

Top Venues

IEEE J. Biomed. Health Informatics

Comput. Biol. Medicine

Trans. Mach. Learn. Res.

Publications

Juan Miguel Lopez Alcaraz, Nils Strodthoff
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models. CoRR (2024)
Stefan Blücher, Johanna Vielhaben, Nils Strodthoff
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. CoRR (2024)
Juan Miguel Lopez Alcaraz, Hjalmar Bouma, Nils Strodthoff
MDS-ED: Multimodal Decision Support in the Emergency Department - a Benchmark Dataset for Diagnoses and Deterioration Prediction in Emergency Medicine. CoRR (2024)
Juan Miguel Lopez Alcaraz, Nils Strodthoff
CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study. CoRR (2024)
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) (2024)
Zahra Mansour, Verena N. Uslar, Dirk Weyhe, Danilo Hollosi, Nils Strodthoff
SonicGuard Sensor - A Multichannel Acoustic Sensor for Long-Term Monitoring of Abdominal Sounds Examined through a Qualification Study. Sensors 24 (6) (2024)
Tiezhi Wang, Nils Strodthoff
Assessing the importance of long-range correlations for deep-learning-based sleep staging. CoRR (2024)
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 (2024)
Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. Trans. Mach. Learn. Res. 2024 (2024)
Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, Nils Strodthoff
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology. Medical Image Anal. 87 (2023)
Temesgen Mehari, Nils Strodthoff
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata. CoRR (2023)
Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp
Cardiac and extracardiac discharge diagnosis prediction from emergency department ECGs using deep learning. CoRR (2023)
Tiezhi Wang, Nils Strodthoff
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models. CoRR (2023)
Johanna Vielhaben, Stefan Bluecher, Nils Strodthoff
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. Trans. Mach. Learn. Res. 2023 (2023)
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) (2023)
Juan Miguel Lopez Alcaraz, Nils Strodthoff
Diffusion-based conditional ECG generation with structured state space models. Comput. Biol. Medicine 163 (2023)
Gabriel Ott, Yannik Schaubelt, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
Uncovering ECG Changes during Healthy Aging using Explainable AI. CoRR (2023)
Juan Miguel Lopez Alcaraz, Nils Strodthoff
Diffusion-based Conditional ECG Generation with Structured State Space Models. CoRR (2023)
Markus Wenzel, Erik Grüner, Nils Strodthoff
Insights Into the Inner Workings of Transformer Models for Protein Function Prediction. CoRR (2023)
Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. CoRR (2023)
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 (2023)
Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery. CoRR (2023)
Juan Miguel Lopez Alcaraz, Nils Strodthoff
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models. Trans. Mach. Learn. Res. 2023 (2023)
Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, Nils Strodthoff
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology. CoRR (2022)
Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
Sparse Subspace Clustering for Concept Discovery (SSCCD). CoRR (2022)
Stefan Blücher, Johanna Vielhaben, Nils Strodthoff
PredDiff: Explanations and interactions from conditional expectations. Artif. Intell. 312 (2022)
Juan Miguel Lopez Alcaraz, Nils Strodthoff
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models. CoRR (2022)
Temesgen Mehari, Nils Strodthoff
Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models. CoRR (2022)
Temesgen Mehari, Nils Strodthoff
Self-supervised representation learning from 12-lead ECG data. Comput. Biol. Medicine 141 (2022)
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)
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR (2021)
Nils Strodthoff, Claas Strodthoff, Tobias Becher, Norbert Weiler, Inéz Frerichs
Inferring Respiratory and Circulatory Parameters from Electrical Impedance Tomography With Deep Recurrent Models. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Stefan Blücher, Nils Strodthoff
PredDiff: Explanations and Interactions from Conditional Expectations. CoRR (2021)
Temesgen Mehari, Nils Strodthoff
Self-supervised representation learning from 12-lead ECG data. CoRR (2021)
Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff
Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks. CoRR (2021)
Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff
USMPep: universal sequence models for major histocompatibility complex binding affinity prediction. BMC Bioinform. 21 (1) (2020)
Nils Strodthoff, Patrick Wagner, Markus Wenzel, Wojciech Samek
UDSMProt: universal deep sequence models for protein classification. Bioinform. 36 (8) (2020)
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. CoRR (2020)
Nils Strodthoff, Claas Strodthoff, Tobias Becher, Norbert Weiler, Inéz Frerichs
Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models. CoRR (2020)
Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban
Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning. CoRR (2020)
Johanna Vielhaben, Nils Strodthoff
Generative Neural Samplers for the Quantum Heisenberg Chain. CoRR (2020)
Jan Laermann, Wojciech Samek, Nils Strodthoff
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. GCPR (2019)
Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel
Asymptotically Unbiased Generative Neural Sampling. CoRR (2019)
Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. IEEE J. Sel. Areas Commun. 37 (11) (2019)
Jan Laermann, Wojciech Samek, Nils Strodthoff
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. CoRR (2019)
Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. CoRR (2019)
Nils Strodthoff, Claas Strodthoff
Detecting and interpreting myocardial infarctions using fully convolutional neural networks. CoRR (2018)
Nils Strodthoff, Baris Göktepe, Thomas Schierl, Wojciech Samek, Cornelius Hellge
Machine Learning for Early HARQ Feedback Prediction in 5G. GLOBECOM Workshops (2018)
Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. CoRR (2018)
Anton K. Cyrol, Mario Mitter, Nils Strodthoff
FormTracer. A mathematica tracing package using FORM. Comput. Phys. Commun. 219 (2017)