Leitung

Prof. Dr. Nils Strodthoff

Geschäftsstelle

Imke Garten

+49 (0)441 798-2772

Postanschrift

Carl von Ossietzky Universität Oldenburg
Fakultät VI - Medizin und Gesundheitswissenschaften
Department für Versorgungsforschung
Abteilung AI4Health
Ammerländer Heerstr. 114-118
26129 Oldenburg

Besucheranschrift

Campus Haarentor, Gebäude V04
Ammerländer Heerstraße 140
26129 Oldenburg

Google Maps

Veröffentlichungen

Preprints

[19] 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. arXiv preprint 2106.13497, 2021. URL arXiv.

[16] Stefan Blücher, Johanna Vielhaben, and Nils Strodthoff. PredDiff: Explanations and Interactions from Conditional Expectations. arXiv preprint 2102.13519, 2021. URL arXiv Code.

[4] 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.


Veröffentlichungen in Zeitschriften

[17] 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.

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

[14] 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.

[13] 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.

[9] 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.

[10] 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.

[12] 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.

[8] 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.

[7] 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 bioRxiv Publisher Code.

[3] 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.

[1] 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.


Konferenzen und Workshops

[18] 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.

[6] 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.

[2] 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.


Datensätze und Anderes

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

[5] 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.

(Stand: 03.01.2022)