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Nils Strodthoff
Nils Strodthoff
Professor for eHealth/AI4Health, Oldenburg University, Germany
Verified email at uol.de - Homepage
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Cited by
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PTB-XL, a large publicly available electrocardiography dataset
P Wagner, N Strodthoff, RD Bousseljot, D Kreiseler, FI Lunze, W Samek, ...
Scientific data 7 (1), 1-15, 2020
6372020
Deep learning for ECG analysis: Benchmarks and insights from PTB-XL
N Strodthoff, P Wagner, T Schaeffter, W Samek
IEEE journal of biomedical and health informatics 25 (5), 1519-1528, 2020
2682020
Chiral symmetry breaking in continuum QCD
M Mitter, JM Pawlowski, N Strodthoff
Physical Review D 91 (5), 054035, 2015
2532015
Landau gauge Yang-Mills correlation functions
AK Cyrol, L Fister, M Mitter, JM Pawlowski, N Strodthoff
Physical Review D 94 (5), 054005, 2016
2412016
Nonperturbative quark, gluon, and meson correlators of unquenched QCD
AK Cyrol, M Mitter, JM Pawlowski, N Strodthoff
Physical Review D 97 (5), 054006, 2018
2112018
Detecting and interpreting myocardial infarction using fully convolutional neural networks
N Strodthoff, C Strodthoff
Physiological measurement 40 (1), 2018
2062018
UDSMProt: universal deep sequence models for protein classification
N Strodthoff, P Wagner, M Wenzel, W Samek
Bioinformatics 36 (8), 2401-2409, 2020
1762020
Quark-meson-diquark model for two-color QCD
N Strodthoff, BJ Schaefer, L von Smekal
Physical Review D 85 (7), 074007, 2012
1392012
Spectral functions for the quark-meson model phase diagram from the functional renormalization group
RA Tripolt, N Strodthoff, L von Smekal, J Wambach
Physical Review D 89 (3), 034010, 2014
1382014
Transport coefficients in Yang-Mills theory and QCD
N Christiansen, M Haas, JM Pawlowski, N Strodthoff
Physical Review Letters 115 (11), 112002, 2015
1272015
Fluctuations in the quark-meson model for QCD with isospin chemical potential
K Kamikado, N Strodthoff, L von Smekal, J Wambach
Physics Letters B 718 (3), 1044-1053, 2013
1212013
Real time correlation functions and the functional renormalization group
JM Pawlowski, N Strodthoff
Physical Review D 92 (9), 094009, 2015
1122015
Self-supervised representation learning from 12-lead ECG data
T Mehari, N Strodthoff
Computers in biology and medicine 141, 105114, 2022
1052022
Asymptotically unbiased estimation of physical observables with neural samplers
KA Nicoli, S Nakajima, N Strodthoff, W Samek, KR Müller, P Kessel
Physical Review E 101 (2), 023304, 2020
1052020
Diffusion-based time series imputation and forecasting with structured state space models
JL Alcaraz, N Strodthoff
Transactions on Machine Learning Research, https://openreview.net/forum?id …, 2023
99*2023
FormTracer. A mathematica tracing package using FORM
AK Cyrol, M Mitter, N Strodthoff
Computer Physics Communications 219, 346-352, 2017
862017
Real-time correlation functions in the O(N) model from the functional renormalization group
K Kamikado, N Strodthoff, L von Smekal, J Wambach
The European Physical Journal C 74 (3), 2806, 2014
822014
Enhanced machine learning techniques for early HARQ feedback prediction in 5G
N Strodthoff, B Göktepe, T Schierl, C Hellge, W Samek
IEEE Journal on Selected Areas in Communications 37 (11), 2573-2587, 2019
702019
Nonperturbative finite-temperature Yang-Mills theory
AK Cyrol, M Mitter, JM Pawlowski, N Strodthoff
Physical Review D 97 (5), 054015, 2018
692018
Towards quantitative precision in the chiral crossover: masses and fluctuation scales
AJ Helmboldt, JM Pawlowski, N Strodthoff
Physical Review D 91 (5), 054010, 2015
662015
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