[2023] Juan Miguel Lopez Alcaraz and Nils Strodthoff. Diffusion-based conditional ecg generation with structured state space models. arXiv preprint 2301.08227, 2022. URL arXiv Code.

[2022] Johanna Vielhaben, Stefan Blücher, Nils Strodthoff. Sparse Subspace Clustering for Concept Discovery (SSCCD). arXiv preprint 2203.06043, 2022. URL arXiv.

[2019] Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, and Shinichi Nakajima. Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. arXiv preprint 1903.11048, 2019. URL arXiv.

[2023] Johanna Vielhaben, Stefan Blücher, and Nils Strodthoff. Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. Transactions on Machine Learning Research, 2023, to appear. URL Publisher arXiv Code.

[2023] Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, and Nils Strodthoff. From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology. Medical Image Analysis, 2023, to appear. URL Publisher arXiv Code. IF 13.8

[2022] Juan Miguel Lopez Alcaraz and Nils Strodthoff. Diffusion-based time series imputation and forecasting with structured state space models, Transactions on Machine Learning Research, 2023. URL Publisher arXiv Code.

[2022] Patrick Wagner, Nils Strodthoff, Patrick Wurzel, Arturo Marban, Sonja Scharf, Hendrik Schäfer, Philipp Seegerer, Andreas Loth, Sylvia Hartmann, Frederick Klauschen, Klaus-Robert Müller, Wojciech Samek, Martin-Leo Hansmann. New definitions of human lymphoid and follicular cell entities in lymphatic tissue by machine learning.
Scientific Reports 12, No.1, 2022. URL Publisher.

[2022] Wilhelm Haverkamp, Nils Strodthoff, Carsten Israel. Ecg diagnostics using artificial intelligence – current status and future perpectives. part 2: Recent studies.
Herzschrittmachertherapie + Elektrophysiologie 33, No.2, 232-240, 2022. URL Publisher.

[2022] Wilhelm Haverkamp, Nils Strodthoff, Carsten Israel. Ecg diagnostics using artificial intelligence – current status and future perspectives. part 1: Basics aspects.
Herzschrittmachertherapie + Elektrophysiologie 33, No.3, 305-311, 2022. URL Publisher.

[2021] Stefan Blücher, Johanna Vielhaben, and Nils Strodthoff. PredDiff: Explanations and Interactions from Conditional Expectations. Artificial Intelligence 312, 103774, 2022. URL Publisher arXiv Code. IF 14.05

[2021] Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek. To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy PLOS ONE 17, No.10, e0274291, 2022. URL Publisher arXiv Code.

[2021] Temesgen Mehari, and Nils Strodthoff. Self-supervised representation learning from 12-lead ECG data. Computers in Biology and Medicine 141, 105114, 2022. URL Publisher arXiv Code.

[2021] Johanna Vielhaben, and Nils Strodthoff. Generative Neural Samplers for the Quantum Heisenberg Chain. Phys. Rev. E 103, 063304, 2021. URL Publisher arXiv Code.

[2021] Nils Strodthoff, Claas Strodthoff, Tobias Becher, Norbert Weiler, and Inéz Frerichs. Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models. IEEE Journal of Biomedical and Health Informatics 25, no. 8, 3105 - 3111, 2021. URL Publisher arXiv.

[2021] Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, and Wojciech Samek. Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. IEEE Journal of Biomedical and Health Informatics 25, no. 5, 1519-1528, 2021. URL Publisher arXiv Code. >125 citations

[2020] Johanna Vielhaben, Markus Wenzel, Wojciech Samek, and Nils Strodthoff. USMPep: Universal Sequence Models for Major Histocompatibility Complex Binding Affinity Prediction. BMC Bioinformatics 21, 279, 2020. URL Publisher bioRxiv Code.

[2020] Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban. Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning. Phys. Rev. D 101, 094507, 2020. URL Publisher arXiv.

[2020] Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Dieter Kreiseler, Fatima I. Lunze. Wojciech Samek, and Tobias Schaeffter. PTB-XL, a large publicly available electrocardiography dataset. Scientific Data 7, 154, 2020. URL Publisher. >325 citations

[2020] Kim Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, and Pan Kessel. Asymptotically Unbiased Estimation of Physical Observables with Neural Samplers. Phys. Rev. E 101, 023304, 2020. URL arXiv Publisher. >50 citations

[2020] Nils Strodthoff, Patrick Wagner, Markus Wenzel, and Wojciech Samek. UDSMProt: universal deep sequence models for protein classification. Bioinformatics 36, no. 8, 2401-2409, 2020. URL Publisher bioRxiv Code. >100 citations

[2019] Nils Strodthoff, Barış Göktepe, Thomas Schierl, Cornelius Hellge, and Wojciech Samek. Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. IEEE Journal on Selected Areas in Communications 37, no. 11, 2573-2587, 2019. URL Publisher arXiv. >50 citations

[2019] Nils Strodthoff, and Claas Strodthoff. Detecting and interpreting myocardial infarction using fully convolutional neural networks. Physiological Measurement 40, no. 1, 015001, 2019. URL Publisher arXiv. >150 citations

[2022] Temesgen Mehari and Nils Strodthoff. Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models, Machine Learning for Health (ML4H) symposium (extended abstract), 2022. URL arXiv Code.

[2022] Philip Aston, Temesgen Mehari, Alen Bosnjakovic, Peter Harris, Ashish Sundar, Steven Williams, Olaf Doessel, Axel Loewe, Claudia Nagel, and Nils Strodthoff. Multi-Class ECG Feature Importance Rankings: Cardiologists vs. Algorithms. Computing in Cardiology, 2022. URL Conference

[2021] Johanna Vielhaben, Markus Wenzel, Eva Weicken, and Nils Strodthoff. Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks. ICLR 2021 Workshop: Machine Learning for Preventing and Combating Pandemics, 2021. URL Workshop arXiv Code.

[2019] Jan Laermann, Wojciech Samek, and Nils Strodthoff. Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. Pattern Recognition. DAGM GCPR 2019. Lecture Notes in Computer Science, vol 11824, 360-373, 2019. URL Publisher arXiv.

[2018] Nils Strodthoff, Barış Göktepe, Thomas Schierl, Cornelius Hellge, and Wojciech Samek. Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. IEEE Global Communications Conference Workshops (GLOBECOM), 2018. URL Publisher

[2023] Nils Strodthoff, Temesgen Mehari, and Tobias Schaeffter. PTB-XL+, a comprehensive electrocardiographic feature dataset. PhysioNet, 2023. URL Publisher.

[2020] Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Wojciech Samek, and Tobias Schaeffter. PTB-XL, a large publicly available electrocardiography dataset. PhysioNet, 2020. URL Publisher.

[2019] Nils Strodthoff, Arun Shroff, and Wojciech Samek. Aspects of Evaluation Procedures for Machine Learning Algorithms. Input Document FGAI4H-D-039, 2019. URL FGAI4H-D-039.

For publications related to my work in high-energy physics/QCD see INSPIRE.