Mathematical Modelling and Data Analysis

Department 8.4

2023
•	B. Winkler, C. Nagel, N. Farchmin, S. Heidenreich, A. Loewe, O. Dössel and M. Bär Global Sensitivity Analysis and Uncertainty Quantification for Simulated Atrial Electrocardiograms. Metrology, 3(1), 1-28, 2023. [DOI: https://doi.org/10.3390/metrology3010001]
•	K. Klauenberg, J. Greenwood and G. Foyer Propagation of conformity statements in compliance with the GUM and ISO 17025. Metrologia, 60(5), 054004, 2023. [DOI: 10.1088/1681-7575/acf3eb]
•	B. Kästner, M. Marschall, A. Hornemann, S. Metzner, P. Patoka, S. Cortes, G. Wübbeler, A. Hoehl, E. Rühl and C. Elster Compressed AFM-IR hyperspectral nanoimaging. Measurement Science and Technology, 2023. [DOI: 10.1088/1361-6501/acfc27]
•	J. Faller, N. Amanova, R. E. van Engen, J. Martin and C. Elster About the Generalizability of Deep Learning based Image Quality Assessment in Mammography. Machine Learning: Science and Technology, 2023. [DOI: 10.1088/2632-2153/acf914]
•	K. Gillette, M. A. F. Gsell, C. Nagel, J. Bender, B. Winkler, S. E. Williams, M. Bär, T. Schäffter, O. Dössel, G. Plank and A. Loewe MedalCare-XL: 16,900 healthy and pathological synthetic 12 lead ECGs from electrophysiological simulations. Scientific Data, 10(531 (2023)), 2023. [DOI: https://doi.org/10.1038/s41597-023-02416-4]
•	A. Weissenbrunner, A.-K. Ekat, M. Straka and S. Schmelter A virtual flow meter downstream of various elbow configurations. Metrologia, 2023. [DOI: DOI 10.1088/1681-7575/ace7d6]
•	M. Marschall, G. Wübbeler, F. Schmähling and C. Elster Machine learning based priors for Bayesian inversion in MR imaging. Metrologia, 60(4), 2023. [DOI: 10.1088/1681-7575/ace3c2]
•	S. Brahma, C. Kolbitsch, J. Martin, T. Schäffter and A. Kofler Data-efficient Bayesian learning for radial dynamic MR reconstruction. Medical Physics, 2023. [DOI: 10.1002/mp.16543]
•	M. Marschall, G. Wübbeler, M. Borys and C. Elster On modelling of artefact instability in interlaboratory comparisons. Metrologia, 2023. [DOI: 10.1088/1681-7575/ace18f]
•	G. Kok, v. M. Dijk, G. Wübbeler and C. Elster Virtual experiments for the assessment of data analysis and uncertainty quantification methods in scatterometry. Metrologia, 2023. [DOI: 10.1088/1681-7575/acd6fd]
•	N. Strodthoff, T. Mehari, C. Nagel, P. J. Aston, A. Sundar, C. Graff, J. K. Kanters, W. Haverkamp, O. Dössel, A. Loewe, M. Bär and T. Schaeffter PTB-XL+, a comprehensive electrocardiographic feature dataset. Scientific Data, 10(279), 2023. [DOI: https://doi.org/10.1038/s41597-023-02153-8]
•	M. Eigel, N. Farchmin, S. Heidenreich and P. Trunschke Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs. Methods and Algorithms for Scientific Computing, 45(2), A457-A479, 2023. [DOI: https://doi.org/10.1137/21M1461988]
•	S. Weiss, J. Polansky, M. Bär, K. Oberleithner and S. Schmelter Derivation and validation of a reference data-based real gas model for hydrogen. Elsevier International Journal of Hydrogen Energy, 2023. [DOI: https://doi.org/10.1016/j.ijhydene.2023.03.073]
•	M. Marschall, G. Wübbeler, F. Schmähling and C. Elster Generative models and Bayesian inversion using Laplace approximation. Computational Statistics, 2023. [DOI: 10.1007/s00180-023-01345-5]
•	F. Webner, J. Polansky, S. Knotek and S. Schmelter Sensitivity analysis of threshold parameters in slug detection algorithms. International Journal of Multiphase Flow, 158 104278, 2023. [DOI: 10.1016/j.ijmultiphaseflow.2022.104278] [10.1016/j.ijmultiphaseflow.2022.104278]
•	E. Cesnaite, P. Steinfath, M. Jamshidi Idaji, T. Stephani, D. Kumral, S. Haufe, C. Sander, T. Hensch, U. Hegerl, S. Riedel-Heller, S. Röhr, M. L. Schroeter, A. Witte, A. Villringer and V. V. Nikulin Alterations in rhythmic and non‐rhythmic resting‐state EEG activity and their link to cognition in older age. NeuroImage, 268 119810, 2023. [DOI: 10.1016/j.neuroimage.2022.119810] [https://linkinghub.elsevi...eve/pii/S1053811922009314]
•	F. Pellegrini, A. Delorme, V. Nikulin and S. Haufe Identifying good practices for detecting inter-regional linear functional connectivity from EEG. NeuroImage, 277 120218, 2023. [DOI: 10.1016/j.neuroimage.2023.120218] [https://linkinghub.elsevi...eve/pii/S1053811923003695]
•	C. Cai, H. Kang, A. Hashemi, D. Chen, M. Diwakar, S. Haufe, K. Sekihara, W. Wu and S. S. Nagarajan Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. IEEE Transactions on Medical Imaging, 42(3), 762--773, 2023. [DOI: 10.1109/TMI.2022.3218074] [https://ieeexplore.ieee.org/document/9932439/]
•	S. Haufe, I. U. Isaias, F. Pellegrini and C. Palmisano Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients. Bioengineering, 10(2), 212, 2023. [DOI: 10.3390/bioengineering10020212] [https://www.mdpi.com/2306-5354/10/2/212]
•	C. Cai, Y. Long, S. Ghosh, A. Hashemi, Y. Gao, M. Diwakar, S. Haufe, K. Sekihara, W. Wu and S. S. Nagarajan Bayesian adaptive beamformer for robust electromagnetic brain imaging of correlated sources in high spatial resolution. IEEE Transactions on Medical Imaging, 1--1, 2023. [DOI: 10.1109/TMI.2023.3256963] [https://ieeexplore.ieee.org/document/10068553/]
•	J. Del Vecchio Del Vecchio, I. Hanafi, N. G. Pozzi, P. Capetian, I. U. Isaias, S. Haufe and C. Palmisano Pallidal Recordings in Chronically Implanted Dystonic Patients: Mitigation of Tremor-Related Artifacts. Bioengineering, 10(4), 476, 2023. [DOI: 10.3390/bioengineering10040476] [https://www.mdpi.com/2306-5354/10/4/476]
2022
•	M. Olbrich Quantitative methods for the characterization of separated and intermittent multiphase flow patterns. 2022. [DOI: https://doi.org/10.14279/depositonce-16659]
•	J. Martin and C. Elster Errors-in-Variables for deep learning: rethinking aleatoric uncertainty. Neural Processing Letters, 2022. [DOI: 10.1007/s11063-022-11066-3]
•	S. Schmelter, S. Knotek, M. Olbrich and M. Bär Comparison of different slug frequency calculation methods for the validation of two-phase flow simulations. 19th International Flow Measurement Conference (FLOMEKO) 2022.
•	S. Weiss, B. Mickan, K. Oberleithner, M. Bär and S. Schmelter Numerical investigation of boundary layer effects within cylindrical critical flow Venturi nozzles. 19th International Flow Measurement Conference (FLOMEKO) 2022.
•	S. Hufnagel, S. Metzner, K. M. Kerkering, C. S. Aigner, A. Kofler, J. Schulz-Menger, T. Schäffter and C. Kolbitsch 3D model-based super-resolution motion-corrected cardiac T1 mapping. Physics in Medicine & Biology, 2022. [DOI: 10.1088/1361-6560/ac9c40]
•	H.-B. Böckler, M. de Huu, R. Maury, S. Schmelter, M. Schakel and O. Büker Metrology infrastructure for high-pressure gas and liquified hydrogen flows. 19th International Flow Measurement Conference (FLOMEKO) 2022.
•	S. Metzner, B. Kästner, M. Marschall, G. Wübbeler, S. Wundrack, A. Bakin, A. Hoehl, E. Rühl and C. Elster Assessment of Subsampling Schemes for Compressive Nano-FTIR Imaging. IEEE Transactions on Instrumentation and Measurement, 71 1-8, 2022. [DOI: 10.1109/TIM.2022.3204072]
•	M. Olbrich, L. Riazy, T. Kretz, T. Leonard, D. van Putten, M. Bär, K. Oberleithner and S. Schmelter Deep learning based liquid level extraction from video observations of gas-liquid flows. International Journal of Multiphase Flow, 2022. [DOI: https://doi.org/10.1016/j.ijmultiphaseflow.2022.104247]
•	P. Buran, T. Niedermayer and M. Bär Suppression of fibrillatory dynamics consisting of stable rotors by periodic pacing. New Journal of Physics, 24(August 2022), 2022. [DOI: https://doi.org/10.1088/1367-2630/ac8571]
•	L. Harren née Hoffmann Investigating deep ensembles for the tilted-wave interferometer. PhD Thesis 2022. [DOI: 10.14279/depositonce-16044]
•	V. M. Worlitzer Collective motion and clustering in active polar fluids. PhD Thesis 2022. [DOI: http://dx.doi.org/10.14279/depositonce-16056]
•	F. Schmähling, J. Martin and C. Elster A framework for benchmarking uncertainty in deep regression. Applied Intelligence, 2022. [DOI: 10.1007/s10489-022-03908-3]
•	M. Straka, A. Weissenbrunner, C. Koglin, C. Höhne and S. Schmelter Simulation Uncertainty for a Virtual Ultrasonic Flow Meter. Metrology, 2(3), 335-359, 2022. [DOI: https://doi.org/10.3390/metrology2030021]
•	N. Amanova, J. Martin and C. Elster Explainability for deep learning in mammography image quality assessment. Machine Learning: Science and Technology, 2022. [DOI: 10.1088/2632-2153/ac7a03]
•	V. M. Worlitzer, A. Jose, I. Grinberg, M. Bär, S. Heidenreich, A. Eldar, G. Ariel and A. Be´er Biophysical aspects underlying the swarm to biofilm transition. Science Advances, 8(24), 2022. [DOI: DOI: 10.1126/sciadv.abn8152]
•	G. Kok, G. Wübbeler and C. Elster Impact of Imperfect Artefacts and the Modus Operandi on Uncertainty Quantification Using Virtual Instruments. Metrology, 2 311--319, 2022. [DOI: 10.3390/metrology2020019]
•	N. Farchmin Adaptive and non-intrusive uncertainty quantification for high-dimensional parametric partial differential equations. PhD Thesis 2022. [DOI: http://dx.doi.org/10.14279/depositonce-15530]
•	C. Herr, B. Winkler, F. Ziebert, I. S. Aranson, J. T. Fourkas and W. Losert Spontaneous polarization and cell guidance on asymmetric nanotopography. Communications Physics, 5(114), 2022. [DOI: https://doi.org/10.1038/s42005-022-00889-0]
•	S. Metzner, G. Wübbeler, C. Kolbitsch and C. Elster A comparison of two data analysis approaches for quantitative Magnetic Resonance Imaging. Measurement Science and Technology, 33(7), 075401, 2022. [DOI: 10.1088/1361-6501/ac5fff]
•	M. Eigel, R. Gruhlke and M. Marschall Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion. Statistics and Computing, 32(2), 27, 2022. [DOI: 10.1007/s11222-022-10087-1]
•	G. Wübbeler, M. Marschall, K. Kniel, D. Heißelmann, F. Härtig and C. Elster GUM-Compliant Uncertainty Evaluation Using Virtual Experiments. Metrology, 2(1), 114--127, 2022. [DOI: 10.3390/metrology2010008]
•	J. Polansky and S. Schmelter Implementation of turbulence damping in the OpenFOAM multiphase flow solver interFoam. Archives of Thermodynamics, 43(1), 21-43, 2022. [DOI: 10.24425/ather.2022.140923]
•	M. Marschall, S. Sievers, H. W. Schumacher and C. Elster Uncertainty propagation in quantitative magnetic force microscopy using a Monte-Carlo method. IEEE Transactions on Magnetics, 1--1, 2022. [DOI: 10.1109/TMAG.2022.3153176]
•	G. Scholz, I. Fortmeier, M. Marschall, M. Stavridis, M. Schulz and C. Elster Experimental Design for Virtual Experiments in Tilted-Wave Interferometry. Metrology, 2 84--97, 2022. [DOI: doi.org/10.3390/metrology2010006]
•	M. Marschall, G. Wübbeler and C. Elster Rejection sampling for Bayesian uncertainty evaluation using the Monte Carlo techniques of GUM-S1. Metrologia, 59(1), 015004, 2022. [DOI: 10.1088/1681-7575/ac3920]
•	M. Gruber, T. Dorst, A. Schütze, S. Eichstädt and C. Elster Discrete wavelet transform on uncertain data: Efficient online implementation for practical applications.. Advanced Mathematical and Computational Tools in Metrology and Testing XII, Series on Advances in Mathematics for Applied Sciences, 90 2022.
•	H. Reinken, S. Heidenreich, M. Bär and S. Klapp Ising-like critical behavior of vortex lattices in an active fluid. Physical Review Letters, 128(4), 048004, 2022. [DOI: 10.1103/PhysRevLett.128.048004]
•	I. Fortmeier, M. Stavridis, M. Schulz and C. Elster Development of a metrological reference system for the form measurement of aspheres and freeform surfaces based on a tilted-wave interferometer. Measurement Science and Technology, 33(4), 2022. [DOI: 10.1088/1361-6501/ac47bd]
•	C. Cai, L. Hinkley, Y. Gao, A. Hashemi, S. Haufe, K. Sekihara and S. S. Nagarajan Empirical Bayesian localization of event-related time-frequency neural activity dynamics. NeuroImage, 258 119369, 2022. [DOI: 10.1016/j.neuroimage.2022.119369] [https://linkinghub.elsevi...eve/pii/S1053811922004888]
•	N. Langer, M. B. Plomecka, M. Tröndle, A. Negi, T. Popov, M. Milham and S. Haufe A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample. NeuroImage, 258 119348, 2022. [DOI: 10.1016/j.neuroimage.2022.119348] [https://linkinghub.elsevi...eve/pii/S1053811922004670]
•	R. Wilming, C. Budding, K.-R. Müller and S. Haufe Scrutinizing XAI using linear ground-truth data with suppressor variables. Machine Learning, 111(5), 1903--1923, 2022. [DOI: 10.1007/s10994-022-06167-y] [https://link.springer.com...0.1007/s10994-022-06167-y]
•	D. Kumral, E. Cesnaite, F. Beyer, S. M. Hofmann, T. Hensch, C. Sander, U. Hegerl, S. Haufe, A. Villringer, A. V. Witte and V. V. Nikulin Relationship between regional white matter hyperintensities and alpha oscillations in older adults. Neurobiology of Aging, 112 1--11, 2022. [DOI: 10.1016/j.neurobiolaging.2021.10.006] [https://linkinghub.elsevi...eve/pii/S0197458021003195]
•	T. Merk, V. Peterson, R. Köhler, S. Haufe, R. M. Richardson and W.-J. Neumann Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation. Experimental Neurology, 351 113993, 2022. [DOI: 10.1016/j.expneurol.2022.113993] [https://linkinghub.elsevi...eve/pii/S0014488622000188]
•	A. Hashemi, C. Cai, Y. Gao, S. Ghosh, K.-R. Müller, S. S. Nagarajan and S. Haufe Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models. IEEE Transactions on Medical Imaging, 1--1, 2022. [DOI: 10.1109/TMI.2022.3224085] [https://ieeexplore.ieee.org/document/9963991/]
•	F. Pellegrini, V. Nikulin and S. Haufe P 80 How to avoid measurement of spurious inter-regional functional connectivity from EEG – a simulation study. Clinical Neurophysiology, 137 e60--e61, 2022. [DOI: 10.1016/j.clinph.2022.01.111] [https://linkinghub.elsevi...eve/pii/S1388245722001298]
•	Erratum: Stephani et al., “Temporal Signatures of Criticality in Human Cortical Excitability as Probed by Early Somatosensory Responses”. The Journal of Neuroscience, 42(22), 4605--4605, 2022. [DOI: 10.1523/JNEUROSCI.0820-22.2022] [https://www.jneurosci.org...23/JNEUROSCI.0820-22.2022]
•	C. Palmisano, L. Beccaria, S. Haufe, J. Volkmann, G. Pezzoli and I. U. Isaias Gait Initiation Impairment in Patients with Parkinson’s Disease and Freezing of Gait. Bioengineering, 9(11), 639, 2022. [DOI: 10.3390/bioengineering9110639] [https://www.mdpi.com/2306-5354/9/11/639]
2021
•	G. Wübbeler, M. Marschall, E. Rühl, B. Kästner and C. Elster Compressive nano-FTIR chemical mapping. Measurement Science and Technology, 33 035402, 2021. [DOI: 10.1088/1361-6501/ac407a]
•	T. Mehari and N. Strodthoff Self-supervised representation learning from 12-lead ECG data. Computers in Biology and Medicine, 141 105114, 2021. [DOI: https://doi.org/10.1016/j.compbiomed.2021.105114]
•	S. Metzner Bayesian data analysis for magnetic resonance fingerprinting. PhD Thesis 2021. [DOI: 10.14279/depositonce-12455]
•	M. Wilczek, S. Heidenreich and M. Bär Die Physik aktiver Fluide. Physik Journal, 20(12), 35, 2021.
•	L. Hoffmann, I. Fortmeier and C. Elster Deep learning for tilted-wave interferometry. tm - Technisches Messen, 2021. [DOI: 10.1515/teme-2021-0103]
•	V. M. Worlitzer, G. Ariel, A. Be'er, H. Stark, M. Bär and S. Heidenreich Turbulence-induced clustering in compressible active fluids. Soft Matter, 2021(17), 10447-10457, 2021. [DOI: https://doi.org/10.1039/D1SM01276B]
•	K. Klauenberg, S. Martens, A. Bošnjaković, M. Cox, A. M. van der Veen and C. Elster The GUM perspective on straight-line errors-in-variables regression. Measurement, 187 110340, 2021. [DOI: 10.1016/j.measurement.2021.110340]
•	M. Anton, M. Reginatto, C. Elster, U. Mäder, S. Schopphoven, I. Sechopoulos and R. E van Engen The regression detectability index RDI for mammography images of breast phantoms with calcification-like objects and anatomical background. Physics in Medicine & Biology, 2021. [DOI: 10.1088/1361-6560/ac33ea]
•	A. Khmelinskaia, H. G. Franquelim, R. Yaadav, E. P. Petrov and P. Schwille Membrane-Mediated Self-Organization of Rod-Like DNA Origami on Supported Lipid Bilayers. Advanced Materials Interfaces, 8(24), 2101094, 2021. [DOI: https://doi.org/10.1002/admi.202101094]
•	M. Fischedick, M. Stavridis, G. Bartl and C. Elster Investigation of the uncertainty contributions of the alignment of PTB's double-ended interferometer by virtual experiments. Metrologia, 58(6), 064001, 2021. [DOI: 10.1088/1681-7575/ac2724]
•	S. Knotek, S. Schmelter and M. Olbrich Assessment of different parameters used in mesh independence studies in two-phase slug flow simulations. Measurement: Sensors, 18 100317, 2021. [DOI: 10.1016/j.measen.2021.100317]
•	S. Schmelter, M. Olbrich, S. Knotek and M. Bär Analysis of multiphase flow simulations and comparison with high-speed video observations. Measurement: Sensors, 18 100154, 2021. [DOI: 10.1016/j.measen.2021.100154]
•	M. Olbrich, A. Hunt, T. Leonard, D. S. van Putten, M. Bär, K. Oberleithner and S. Schmelter Comparing temporal characteristics of slug flow from tomography measurements and video observations. Measurement: Sensors, 18 100222, 2021. [DOI: 10.1016/j.measen.2021.100222]
•	L. Hoffmann, I. Fortmeier and C. Elster Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements. Machine Learning: Science and Technology, 2021. [DOI: 10.1088/2632-2153/ac0495]
•	J. Martin and C. Elster GUI for Bayesian sample size planning in type A uncertainty evaluation. Measurement Science and Technology, 32(7), 5005, 2021. [DOI: 10.1088/1361-6501/abe2bd]
•	A. Andrle, N. Farchmin, P. Hagemann, S. Heidenreich, V. Soltwisch and G. Steidl Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. Scale Space and Variational Methods in Computer Vision, 528--539, 2021. [DOI: 10.1007/978-3-030-75549-2_42]
•	F. Leyden, S. Uthishtran, U. K. Moorthi, H. M. York, A. Patil, H. Gandhi, E. P. Petrov, T. Bornschlögl and S. Arumugam Rac1 activation can generate untemplated, lamellar membrane ruffles. BMC Biology, 19(72), 2021. [DOI: https://doi.org/10.1186/s12915-021-00997-3]
•	S. Peled, S. D. Ryan, S. Heidenreich, M. Bär, G. Ariel and A. Be'er Heterogeneous bacterial swarms with mixed lengths. Physical Review E, 103(3), 032413, 2021. [DOI: 10.1103/PhysRevE.103.032413]
•	K. Klauenberg, C. A. Müller and C. Elster Hypothesis-based acceptance sampling for modules F and F1 of the European Measuring Instruments Directive. Statistics and Public Policy, 2021. [DOI: 10.1080/2330443X.2021.1900762]
•	V. M. Worlitzer, G. Ariel, A. Be'er, H. Stark, M. Bär and S. Heidenreich Motility-induced clustering and meso-scale turbulence in active polar fluids. New Journal of Physics, 23 033012, 2021. [DOI: 10.1088/1367-2630/abe72d]
•	S. Metzner, G. Wübbeler, S. Flassbeck, C. Gatefait, C. Kolbitsch and C. Elster Bayesian uncertainty quantification for magnetic resonance fingerprinting. Physics in Medicine & Biology, 66(7), 075006, 2021. [DOI: 10.1088/1361-6560/abeae7]
•	A. Andrle, P. Hönicke, J. Vinson, R. Quintanilha, Q. Saadeh, S. Heidenreich, F. Scholze and V. Soltwisch The anisotropy in the optical constants of quartz crystals for soft X-rays. Journal of Applied Crystallography, 54(2), 402--408, 2021. [DOI: 10.1107/S1600576720016325]
•	K. Smuda, J. Gienger, P. Hönicke and J. Neukammer Function of Hemoglobin-Based Oxygen Carriers: Determination of Methemoglobin Content by Spectral Extinction Measurements. Int J Mol Sci ., 22(4), 1753, 2021. [DOI: 10.3390/ijms22041753]
•	S. Schmelter, S. Knotek, M. Olbrich, A. Fiebach and M. Bär On the influence of inlet perturbations on slug dynamics inhorizontal multiphase flow a computational study. Metrologia, 58(1), 014003, 2021. [DOI: 10.1088/1681-7575/abd1c9]
•	G. Wübbeler and C. Elster Efficient experimental sampling through low-rank matrix recovery. Metrologia, 58(1), 014002, 2021. [DOI: 10.1088/1681-7575/abc97b] (online)
•	S. Schmidt, S. Flassbeck, S. Schmelter, E. Schmeyer, M. E. Ladd and S. Schmitter The impact of 4D flow displacementartifacts on wall shear stress estimation. Magnetic Resonance in Medicine, 85(6), 3154-3168, 2021. [DOI: 10.1002/mrm.28641]
•	L. Oala, A. G. Murchison, P. Balachandran, S. Choudhary, J. Fehr, A. W. Leite, P. G. Goldschmidt, C. Johner, E. D. M. Schörverth, R. Nakasi, M. Meyer, F. Cabitza, P. Baird, C. Prabhu, E. Weicken, X. Liu, M. Wenzel, S. Vogler, D. Akogo, S. Alsalamah, E. Kazim, A. Koshiyama, S. Piechottka, S. Macpherson, I. Shadforth, R. Geierhofer, C. Matek, J. Krois, B. Sanguinetti, M. Arentz, P. Bielik, S. Calderon-Ramirez, A. Abbood, N. Langer, S. Haufe, F. Kherif, S. Pujari, W. Samek and T. Wiegand Machine Learning for Health: Algorithm Auditing & Quality Control. Journal of Medical Systems, 45(12), 105, 2021. [DOI: 10.1007/s10916-021-01783-y] [https://link.springer.com...0.1007/s10916-021-01783-y]
•	A. Hashemi, C. Cai, G. Kutyniok, K.-R. Müller, S. S. Nagarajan and S. Haufe Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage, 239 118309, 2021. [DOI: 10.1016/j.neuroimage.2021.118309] [https://linkinghub.elsevi...eve/pii/S1053811921005851]
•	C. Cai, A. Hashemi, M. Diwakar, S. Haufe, K. Sekihara and S. S. Nagarajan Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm. NeuroImage, 225 117411, 2021. [DOI: 10.1016/j.neuroimage.2020.117411] [https://linkinghub.elsevi...eve/pii/S105381192030896X]
•	G. Lichtner, F. Balzer, S. Haufe, N. Giesa, F. Schiefenhövel, M. Schmieding, C. Jurth, W. Kopp, A. Akalin, S. J. Schaller, S. Weber-Carstens, C. Spies and F. von Dincklage Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumonia. Scientific Reports, 11(1), 13205, 2021. [DOI: 10.1038/s41598-021-92475-7] [http://www.nature.com/articles/s41598-021-92475-7]
•	M. Eigel, N. Farchmin, S. Heidenreich and P. Trunschke Efficient approximation of high-dimensional exponentials by tensornetworks. International Journal of Uncertainty Quantification, 25-51, 2021. [DOI: 10.1615/Int.J.UncertaintyQuantification.2022039164]
2020
•	M. Marschall, A. Hornemann, G. Wübbeler, A. Hoehl, E. Rühl, B. Kästner and C. Elster Compressed FTIR spectroscopy using low-rank matrix reconstruction. Opt. Express, 26(28), 38762--38772, 2020. [DOI: 10.1364/OE.404959]
•	J. Martin and C. Elster Detecting unusual input to neural networks. Appl Intell, 2020. [DOI: 10.1007/s10489-020-01925-8]
•	G. Wübbeler, M. Marschall and C. Elster A simple method for Bayesian uncertainty evaluation in linear models. Metrologia, 57(6), 065010, 2020. [DOI: 10.1088/1681-7575/aba3b8]
•	M. Olbrich, E. Schmeyer, M. Bär, M. Sieber, K. Oberleithner and S. Schmelter Identification of coherent structures in horizontal slug flow. Flow Measurement and Instrumentation, 76 101814, 2020. [DOI: 10.1016/j.flowmeasinst.2020.101814]
•	T. Kretz Development of model observers for quantitative assessment of mammography image quality. PhD Thesis 2020.
•	L. Hoffmann and C. Elster Deep Neural Networks for Computational Optical Form Measurements. Journal of Sensors and Sensor Systems, 9 301--307, 2020. [DOI: 10.5194/jsss-9-301-2020]
•	M. Olbrich, M. Bär, K. Oberleithner and S. Schmelter Statistical characterization of horizontal slug flow using snapshot proper orthogonal decomposition. International Journal of Multiphase Flow, 134 103453, 2020. [DOI: 10.1016/j.ijmultiphaseflow.2020.103453]
•	J. Martin and C. Elster The variation of the posterior variance and Bayesian sample size determination. Statistical Methods & Applications, 1613-981X, 2020. [DOI: 10.1007/s10260-020-00545-3]
•	S. Demeyer, N. Fischer and C. Elster Guidance on Bayesian uncertainty evaluation for a class of GUM measurement models. Metrologia, 2020. [DOI: 10.1088/1681-7575/abb065]
•	C. Elster and K. Klauenberg A quantile inequality for location-scale distributions. Statistics & Probability Letters, 165 108851, 2020. [DOI: /10.1016/j.spl.2020.108851]
•	H. Reinken, D. Nishiguchi, S. Heidenreich, A. Sokolov, M. Bär, S. H. L. Klapp and I. S. Aranson Organizing bacterial vortex lattices by periodic obstacle arrays. Commun Phys, 3(76), 2020. [DOI: 10.1038/s42005-020-0337-z]
•	N. Farchmin, M. Hammerschmidt, P. I. Schneider, M. Wurm, B. Bodermann, M. Bär and S. Heidenreich Efficient Bayesian inversion for shape reconstruction of lithography masks. Journal of Micro/Nanolithography, MEMS, and MOEMS, 2(19), 1--11, 2020. [DOI: 10.1117/1.JMM.19.2.024001]
•	M. Anton, W. J. H. Veldkamp, I. Hernandez-Giron and C. Elster RDI - a regression detectability index for quality assurance in: x-ray imaging. Physics in Medicine & Biology, 65(8), 085017, 2020. [DOI: 10.1088/1361-6560/ab7b2e]
•	T. Kretz, K.-R. Müller, T. Schäffter and C. Elster Mammography Image Quality Assurance Using Deep Learning. IEEE Transactions on Biomedical Engineering, 2020. [DOI: 10.1109/TBME.2020.2983539]
•	G. Bartl, C. Elster, J. Martin, R. Schödel, M. Voigt and A. Walkov Thermal expansion and compressibility of single-crystal silicon between 285 K and 320 K. Measurement Science and Technology, 31(6), 2020. [DOI: 10.1088/1361-6501/ab7359]
•	A. Be´er, B. Ilkanaiv, R. Gross, D. B. Kearns, S. Heidenreich, M. Bär and G. Ariel A phase diagram for bacterial swarming. Commun Phys, 3(66), 2020. [DOI: 10.1038/s42005-020-0327-1]
•	J. Martin and C. Elster Inspecting adversarial examples using the fisher information. Neurocomputing, 382 80--86, 2020. [DOI: 10.1016/j.neucom.2019.11.052]
•	M. Casfor Zapata, N. Farchmin, M. Pflüger, K. Nikolaev, V. Soltwisch, S. Heidenreich, C. Laube, M. Kolbe and F. Scholze Sensitivity analysis for the detection of pitchwalk in self- aligned quadruple patterning by GISAXS. Proc. of SPIE Volume 11325 Publisher: SPIE, 2020. [DOI: 10.1117/12.2552037]
•	S. Schmelter, M. Olbrich, E. Schmeyer and M. Bär Numerical simulation, validation, and analysis of two-phase slug flow in large horizontal pipes. Flow Measurement and Instrumentation, 73 101722, 2020. [DOI: 10.1016/j.flowmeasinst.2020.101722]
•	M. Schenker, M. Stavridis, M. Schulz and R. Tutsch Effects of misalignments on the modulation transfer function measurement of camera lenses analyzed in optomechanical simulations. Opt. Eng., 59(3), 034101, 2020. [DOI: 10.1117/1.OE.59.3.034101]
•	M. Bär, R. Großmann, S. Heidenreich and F. Peruani Self-Propelled Rods: Insights and Perspectives for Active Matter. Annual Review of Condensed Matter Physics, 11 441--466, 2020. [DOI: 10.1146/annurev-conmatphys-031119-050611]
•	G. Wübbeler and C. Elster On the transferability of the GUM-S1 type A uncertainty. Metrologia, 57(1), 2020. [DOI: 10.1088/1681-7575/ab50d6]
•	I. Fortmeier, R. Schachtschneider, V. Ledl, O. Matousek, J. Siepmann, A. Harsch, R. Beisswanger, Y. Bitou, Y. Kondo, M. Schulz and C. Elster Round robin comparison study on the form measurement of optical freeform surfaces. Journal of the European Optical Society-Rapid Publications, 16(2), 2020. [DOI: 10.1186/s41476-019-0124-1]
2019
•	J. Lehnert, C. Kolbitsch, G. Wübbeler, A. Chiribiri, T. Schäffter and C. Elster Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging. SIAM J. Imaging Sci., 12(4), 2035--2062, 2019. [DOI: 10.1137/19M1246274]
•	K. Klauenberg and C. Elster Testing normality - An introduction with sample size calculation in legal metrology. tm - Technisches Messen, 86(12), 773--783, 2019. [DOI: 10.1515/teme-2019-0148]
•	K. Klauenberg, G. Wübbeler and C. Elster About not Correcting for Systematic Effects. Measurement Science Review, 19(5), 204--208, 2019. [DOI: 10.2478/msr-2019-0026]
•	J. Gienger, H. Gross, V. Ost, M. Bär and J. Neukammer Assessment of deformation of human red blood cells in flow cytometry: measurement and simulation of bimodal forward scatter distributions. Biomedical Optics Express, 10(9), 4531 -- 4550, 2019. [DOI: 10.1364/BOE.10.004531]
•	S. Metzner, G. Wübbeler and C. Elster Approximate large-scale Bayesian spatial modeling with application to quantitative magnetic resonance imaging. AStA Adv Stat Anal, 103(3), 333--355, 2019. [DOI: 10.1007/s10182-018-00334-0]
•	S. Schmelter, M. Olbrich, E. Schmeyer and M. Bär Numerical simulation, validation, and analysis of two-phase slug flow in large horizontal pipes. Proceedings of the 18th International Flow Measurement Conference FLOMEKO 2019, 2019.
•	M. Olbrich, E. Schmeyer, M. Bär, M. Sieber, K. Oberleithner and S. Schmelter Identification of coherent structures in horizontal slug flow. Proceedings of the 18th International Flow Measurement Conference FLOMEKO 2019, 2019.
•	T. Kretz, M. Anton, T. Schäffter and C. Elster Determination of contrast-detail curves in mammography image quality assessment by a parametric model observer. Physica Medica, 62 120--128, 2019. [DOI: 10.1016/j.ejmp.2019.05.008]
•	D. A. Kulawiak, J. Löber, M. Bär and H. Engel Active poroelastic two-phase model for the motion of Physarum microplasmodia. PLoS One, 14(8), 2019. [DOI: 10.1101/638312]
•	L. Riazy, T. Schäffter, M. Olbrich, J. A. Schueler, F. v. Knobelsdorff-Brenkenhoff, T. Niendorf and J. Schulz-Menger Porous medium 3D flow simulation of contrast media washout in cardiac MRI reflects myocardial injury. Magnetic Resonance in Medicine, 2019. [DOI: 10.1002/mrm.27756] (advance online publication)
•	J. Gienger, K. Smuda, R. Müller, M. Bär and J. Neukammer Refractive index of human red blood cells between 290 nm and 1100 nm determined by optical extinction measurements. Scientific Reports, 9 2019. [DOI: 10.1038/s41598-019-38767-5]
•	J. R. Alves, R. A. B. de Queiroz, M. Bär and R. W. dos Santos Simulation of the Perfusion of Contrast Agent Used in Cardiac Magnetic Resonance: A Step Toward Non-invasive Cardiac Perfusion Quantification. Front. Physiol., 10(177), 2019. [DOI: 10.3389/fphys.2019.00177]
•	R. Schachtschneider, M. Stavridis, I. Fortmeier, M. Schulz and C. Elster SimOptDevice: a library for virtual optical experiments. Journal of Sensors and Sensor Systems, 8(1), 105--110, 2019. [DOI: 10.5194/jsss-8-105-2019]
•	J. Martin, G. Bartl and C. Elster Application of Bayesian model averaging to the determination of thermal expansion of single-crystal silicon. Measurement Science and Technology, 30 045012, 2019. [DOI: 10.1088/1361-6501/ab094b]
•	H. Reinken, S. Heidenreich, M. Bär and S. H. L. Klapp Anisotropic mesoscale turbulence and pattern formation in microswimmer suspensions induced by orienting external fields. New Journal of Physics, 21(1), 013037, 2019. [DOI: 10.1088%2F1367-2630%2Faaff09]
•	D. A. Kulawiak, J. Löber, M. Bär and H. Engel Oscillatory motion of a droplet in an active poroelastic two-phase model. Journal of Physics D: Applied Physics, 52(1), 014004, 2019. [DOI: 10.1088/1361-6463/aae41d]
2018
•	M. Olbrich, E. Schmeyer, L. Riazy, K. Oberleithner, M. Bär and S. Schmelter Validation of simulations in multiphase flow metrology by comparison with experimental video observation. J. Phys.: Conf. Series, 1065(9), 092015, 2018. [DOI: 10.1088/1742-6596/1065/9/092015]
•	S. Schmelter, M. Olbrich, E. Schmeyer and M. Bär Validation of multiphase flow simulations by comparison with experimental video observations. Proceedings of the North Sea Flow Measurement Workshop 2018, 2018.
•	S. Heidenreich, H. Gross and M. Bär Bayesian approach to determine critical dimensions from scatterometric measurements. Metrologia, 55(6), 201, 2018. [DOI: 10.1088/1681-7575/aae41c]
•	J. Lehnert, G. Wübbeler, C. Kolbitsch, A. Chiribiri, L. Coquelin, G. Ebrard, N. Smith, T. Schäffter and C. Elster Pixel-wise quantification of myocardial perfusion using spatial Tikhonov regularization. Physics in Medicine & Biology, 63 215017, 2018. [DOI: 10.1088/1361-6560/aae758]
•	G. Ariel, M. Sidortsov, S. D. Ryan, S. Heidenreich, M. Bär and A. Be'er Collective dynamics of two-dimensional swimming bacteria: Experiments and models. PHYSICAL REVIEW E, 98(3), 032415, 2018. [DOI: 10.1103/PhysRevE.98.032415]
•	G. Wübbeler, H. Bettin, F. Härtig and C. Elster Maintaining consensus for the redefined kilogram. Metrologia, 55(5), 722, 2018. [DOI: 10.1088/1681-7575/aadb6b]
•	B. Kästner, F. Schmähling, A. Hornemann, G. Ulrich, A. Hoehl, M. Kruskopf, K. Pierz, M. Raschke, G. Wübbeler and C. Elster Compressed sensing FTIR nano-spectroscopy and nano-imaging. Optics Express, 14 18115--18124, 2018. [DOI: 10.1364/OE.26.018115]
•	A. Khanin, M. Anton, M. Reginatto and C. Elster Assessment of CT image quality using a Bayesian framework. IEEE Transactions on Medical Imaging, 37(12), 2687--2694, 2018. [DOI: 10.1109/TMI.2018.2848104]
•	A. Possolo, O. Bodnar, T. A. Butler, J. L. Molloy and M. R. Winchester Value assignment and uncertainty evaluation for single-element reference solutions. Metrologia, 55(3), 404, 2018. [DOI: 10.1088/1681-7575/aabd57]
•	M. Becker, T. Frenzel, T. Niedermayer, S. Reichelt, A. Mielke and M. Bär Local control of globally competing patterns in coupled Swift–Hohenberg equations. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(4), 043121, 2018. [DOI: 10.1063/1.5018139]
•	R. Schachtschneider, I. Fortmeier, M. Stavridis, J. Asfour, G. Berger, R. B. Bergmann, A. Beutler, T. Blümel, H. Klawitter, K. Kubo, J. Liebl, F. Löffler, R. Meeß, C. Pruss, D. Ramm, M. Sandner, G. Schneider, M. Wendel, I. Widdershoven, M. Schulz and C. Elster Interlaboratory comparison measurements of aspheres. Measurement Science and Technology, 29(5), 055010, 2018. [DOI: 10.1088/1361-6501/aaae96]
•	M. Anton, A. Khanin, T. Kretz, M. Reginatto and C. Elster A simple parametric model observer for quality assurance in computer tomography. Physics in Medicine & Biology, 63(7), 5011, 2018. [DOI: 10.1088/1361-6560/aab24a]
•	K. Klauenberg, R. Kramer, C. Kroner, J. Rose and C. Elster Reducing sample size by tightening test conditions. Quality and Reliability Engineering International, 2018. [DOI: 10.1002/qre.2256]
•	H. Reinken, S. H. L. Klapp, M. Bär and S. Heidenreich Derivation of a hydrodynamic theory for mesoscale dynamics in microswimmer suspensions. Physical Review E 97, 97(2), 022613, 2018. [DOI: 10.1103/PhysRevE.97.022613]
•	M. Straka, A. Fiebach, T. Eichler and C. Koglin Hybrid simulation of a segmental orifice plate. Flow Measurement and Instrumentation, 60 124--133, 2018. [DOI: 10.1016/j.flowmeasinst.2018.02.006]
•	A. Possolo and O. Bodnar Approximate Bayesian evaluations of measurement uncertainty. Metrologia, 55(2), 147, 2018. [DOI: 10.1088/1681-7575/aaa5be]
•	O. Bodnar and C. Elster Assessment of vague and noninformative priors for Bayesian estimation of the realized random effects in random-effects meta-analysis. AStA Advances in Statistical Analysis, 102(1), 1--20, 2018. [DOI: 10.1007/s10182-016-0279-7]
•	G. Wübbeler, O. Bodnar and C. Elster Robust Bayesian linear regression with application to an analysis of the CODATA values for the Planck constant. Metrologia, 55(1), 20, 2018. [DOI: 10.1088/1681-7575/aa98aa]
•	M. Dierl, T. Eckhard, B. Frei, M. Klammer, S. Eichstädt and C. Elster Novel accuracy test for multispectral imaging systems based on ΔE measurements. Journal of the European Optical Society-Rapid Publications, 14(1), 1, 2018. [DOI: 10.1186/s41476-017-0069-1]
•	J. Gienger, M. Bär and J. Neukammer Extinction spectra of suspensions of microspheres: determination of the spectral refractive index and particle size distribution with nanometer accuracy. Applied Optics, 57(2), 344 -- 355, 2018. [DOI: 10.1364/AO.57.000344]
2017
•	P. Buran, M. Bär, S. Alonso and T. Niedermayer Control of electrical turbulence by periodic excitation of cardiac tissue. Chaos, 27(11), 113110, 2017. [DOI: 10.1063/1.5010787]
•	S. Alonso, M. Radszuweit, H. Engel and M. Bär Mechanochemical pattern formation in simple models of active viscoelastic fluids and solids. Journal of Physics D: Applied Physics, 50(43), 434004, 2017. [DOI: 10.1088/1361-6463/aa8a1d]
•	M. Bär and C. Elster Mathematics and Statistics for Digitalization. PTB Mitteilungen, 127(4), 69--74, 2017.
•	F. Schmähling, G. Wübbeler, U. Krüger, B. Ruggaber, F. Schmidt, R. D. Taubert, A. Sperling and C. Elster Uncertainty evaluation and propagation for spectral measurements. Color, Research and Application, 43(1), 6--16, 2017. [DOI: 10.1002/col.22185]
•	I. Müller, R. D. Horansky, J. H. Lehman, S. W. Nam, I. Vayshenker, L. Werner, G. Wuebbeler and M. White Verification of calibration methods for determining photon-counting detection efficiency using superconducting nano-wire single photon detectors. Opt. Express, 25(18), 21483--21495, 2017. [DOI: 10.1364/OE.25.021483]
•	G. Wübbeler and C. Elster A Large-Scale Optimization Method Using a Sparse Approximation of the Hessian for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci., 10(3), 979--1004, 2017. [DOI: 10.1137/16M1095032]
•	A. Weissenbrunner, A. Fiebach, M. Juling and P. U. Thamsen A coupled numerical and laser optical method for on-site calibration of flow meters. Eccomas Proceedia UNCECOMP, (5393), 576--587, 2017. [DOI: 10.7712/120217.5393.16913]
•	M. Reginatto, M. Anton and C. Elster Assessment of CT image quality using a Bayesian approach. Metrologia, 54(4), S74--S82, 2017. [DOI: 10.1088/1681-7575/aa735b]
•	S. Eichstädt and V. Wilkens Evaluation of uncertainty for regularized deconvolution: A case study in hydrophone measurements. J. Acoust. Soc. Am., 141(6), 4155--4167, 2017. [DOI: 10.1121/1.4983827]
•	O. Bodnar, R. Behrens and C. Elster Bayesian inference for measurements of ionizing radiation under partial information. Metrologia, 54(3), S29--S33, 2017. [DOI: 10.1088/1681-7575/aa69ad]
•	M. Kobusch and S. Eichstädt A case study in model-based dynamic calibration of small strain gauge force transducers. Acta IMEKO, 6(1), 3--12, 2017. [DOI: 10.21014/acta_imeko.v6i1.433]
•	S. Eichstädt, C. Elster, I. M. Smith and T. J. Esward Evaluation of dynamic measurement uncertainty – an open-source software package to bridge theory and practice. J. Sens. Sens. Syst., 6 97-105, 2017. [DOI: 10.5194/jsss-6-97-2017]
•	H. Gross, S. Heidenreich and M. Bär Impact of different stochastic line edge roughness patterns on measurements in scatterometry - a simulation study. Measurement, 98 339--346, 2017. [DOI: 10.1016/j.measurement.2016.08.027]
•	S. Heidenreich, H. Gross, M. Bär and L. Wright Uncertainty propagation in computationally expensive models: A survey of sampling methods and application to scatterometry. Measurement, 97(79--87), 2017. [DOI: 10.1016/j.measurement.2016.06.009]
•	O. Bodnar, A. Link, B. Arendacká, A. Possolo and C. Elster Bayesian estimation in random effects meta-analysis using a non-informative prior. Statistics in Medicine, 39(2), 378--399, 2017. [DOI: 10.1002/sim.7156]
•	C. Elster and G. Wübbeler Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances. Comput. Stat., 32(1), 51--69, 2017. [DOI: 10.1007/s00180-015-0641-3]
•	K. Klauenberg and C. Elster Sampling for assurance of future reliability. Metrologia, 54(1), 59--68, 2017. [DOI: 10.1088/1681-7575/54/1/59]
2016
•	G. Wübbeler, J. Campos Acosta and C. Elster Evaluation of uncertainties for CIELAB color coordinates. Color Research & Application, 2016. [DOI: 10.1002/col.22109]
•	O. Bodnar and W. Schmid CUSUM control schemes for monitoring the covariance matrix of multivariate time series. Statistics, 51(4), 722--744, 2016. [DOI: 10.1080/02331888.2016.1268616]
•	J. Gienger, H. Groß, J. Neukammer and M. Bär Determining the refractive index of humanhemoglobin solutions by Kramers–Kronig relations with an improved absorption model.. Applied Optics, 55(31), 8951--8961, 2016. [DOI: 10.1364/AO.55.008951]
•	S. Alonso, R. Weber dos Santos and M. Bär Reentry and Ectopic Pacemakers Emerge in aThree-Dimensional Model for a Slab of Cardiac Tissue with Diffuse Microfibrosis nearthe Percolation Threshold. PLOS One, 11(11), 2016. [DOI: 10.1371/journal.pone.0166972]
•	R. Großmann, F. Peruani and M. Bär Mesoscale pattern formation of self-propelled rodswith velocity reversal. Phys. Rev. E, 94(5), 050602, 2016. [DOI: 10.1103/PhysRevE.94.050602]
•	J. Wright, B. Toman, B. Mickan, G. Wübbeler, O. Bodnar and C. Elster Transfer standard uncertainty can cause inconclusive inter-laboratory comparisons. Metrologia, 53(6), 1243, 2016. [DOI: 10.1088/0026-1394/53/6/1243]
•	S. Eichstädt, N. Makarava and C. Elster On the evaluation of uncertainties for state estimation with the Kalman filter. Measurement Science and Technology, 27(12), 125009, 2016. [DOI: 10.1088/0957-0233/27/12/125009]
•	I. Fan, S. Knappe-Grünberg, J. Voigt, W. Kilian, M. Burghoff, D. Stollfuss, A. Schnabel, G. Wübbeler, O. Bodnar, C. Elster, F. Seifert and L. Trahms Direct measurement of the γ He / γ Xe ratio at ultralow magnetic field. Journal of Physics: Conference Series, 723(1), 012045, 2016. [DOI: 10.1088/1742-6596/723/1/012045]
•	A. Fiebach, E. Schmeyer, S. Knotek and S. Schmelter Numerical simulation of multiphase flow in a vertically mounted Venturi flow meter. Proceedings of the 17th International Flow Measurement Conference FLOMEKO 2016, 2016.
•	S. Knotek, A. Fiebach and S. Schmelter Numerical simulation of multiphase flows in large horizontal pipes. Proceedings of the 17th International Flow Measurement Conference FLOMEKO 2016, 2016.
•	S. Heidenreich, J. Dunkel, H. Klapp and M. Bär Hydrodynamic length-scale selection in microswimmer suspensions. Physical Review E, 94(2), 020601, 2016. [DOI: 10.1103/PhysRevE.94.020601]
•	S. Alonso, M. Bär and B. Echebarria Nonlinear physics of electrical wave propagation in the heart: a review. Reports on Progress in Physics, 79(9), 096601, 2016. [DOI: 10.1088/0034-4885/79/9/096601]
•	S. Alonso and M. Bär Reentry produced by small-scale heterogeneities in a discrete model of cardiac tissue. Journal of Physics: Conference Series, 727(1), 012002, 2016. [DOI: 10.1088/1742-6596/727/1/012002]
•	A. Weissenbrunner, A. Fiebach, S. Schmelter, M. Bär, P. Thamsen and T. Lederer Simulation-based determination of systematic errors of flow meters due to uncertain inflow conditions. Flow Measurement and Instrumentation, 2016. [DOI: 10.1016/j.flowmeasinst.2016.07.011]
•	M. Langovoy, F. Schmähling and G. Wübbeler Numerical comparison of sampling strategies for BRDF data manifolds. Measurement, 94(Supplement C), 578--584, 2016. [DOI: 10.1016/j.measurement.2016.08.010]
•	I. Fortmeier Zur Optimierung von Auswerteverfahren für Tilted-Wave Interferometer. Berichte aus dem Institut für Technische Optik 2016. [DOI: 10.18419/opus-8878]
•	G. Wübbeler, O. Bodnar and C. Elster Bayesian hypothesis testing for key comparisons. Metrologia, 53(4), 1131--1138, 2016. [DOI: 10.1088/0026-1394/53/4/1131]
•	M. Dierl, T. Eckhard, B. Frei, M. Klammer, S. Eichstädt and C. Elster Improved estimation of reflectance spectra by utilizing prior knowledge. Journal of the Optical Society of America A, 33(7), 1370--1376, 2016. [DOI: 10.1364/JOSAA.33.001370]
•	S. Eichstädt, V. Wilkens, A. Dienstfrey, P. Hale, B. Hughes and C. Jarvis On challenges in the uncertainty evaluation for time-dependent measurements. Metrologia, 53(4), 2016. [DOI: 10.1088/0026-1394/53/4/S125]
•	R. Großmann, F. Peruani and M. Bär Superdiffusion, large-scale synchronization, and topological defects. Phys. Rev. E, 93 2016. [DOI: 10.1103/PhysRevE.93.040102]
•	R. Großmann, F. Peruani and M. Bär Diffusion properties of active particles with directional reversal. New J. Phys, 18 2016. [DOI: 10.1088/1367-2630/18/4/043009]
•	S. Alonso, U. Strachauer, M. Radszuweit, M. Bär and M. Hauser Oscillations and uniaxial mechanochemical waves in a model of an active poroelastic medium: Application to deformation patterns in protoplasmic droplets of Physarum polycephalum. Physica D, 318 58-69, 2016. [DOI: 10.1016/j.physd.2015.09.017]
•	S. Eichstädt and V. Wilkens GUM2DFT — a software tool for uncertainty evaluation of transient signals in the frequency domain. Measurement Science and Technology, 27(5), 055001, 2016. [DOI: 10.1088/0957-0233/27/5/055001]
•	S. Schmelter, A. Fiebach and A. Weissenbrunner Polynomchaos zur Unsicherheitsquantifizierung in Strömungssimulationen für metrologische Anwendungen. tm-Technisches Messen, 83(2), 71-76, 2016. [http://www.degruyter.com/...5-0109/teme-2015-0109.xml]
•	I. Fortmeier, M. Stavridis, A. Wiegmann, M. Schulz, W. Osten and C. Elster Evaluation of absolute form measurements using a tilted-wave interferometer. Opt. Express, 24(4), 3393--3404, 2016. [DOI: 10.1364/OE.24.003393] [http://www.opticsexpress....ract.cfm?URI=oe-24-4-3393]
•	S. Eichstädt and C. Elster Modellierung dynamischer Messsysteme - von stochastischen Prozessen zu praktikablen Messunsicherheiten. tm - Technisches Messen, 83(2), 66-70, 2016. [DOI: 10.1515/teme-2015-0098] [http://www.degruyter.com/...-2015-0098.xml?format=INT]
•	G. Lindner, S. Schmelter, R. Model, A. Nowak, V. Ebert and M. Bär A Computational Fluid Dynamics Study on the Gas Mixing Capabilities of a Multiple Inlet System. J. Fluids Eng, 138(3), 031302, 2016. [DOI: 10.1115/1.4031380]
•	O. Bodnar, C. Elster, J. Fischer, A. Possolo and B. Toman Evaluation of uncertainty in the adjustment of fundamental constants. Metrologia, 53(1), S46, 2016. [DOI: 10.1088/0026-1394/53/1/S46] [http://stacks.iop.org/0026-1394/53/i=1/a=S46]
•	K. Klauenberg and C. Elster Markov chain Monte Carlo methods: an introductory example. Metrologia, 53(1), S32, 2016. [DOI: 10.1088/0026-1394/53/1/S32] [http://stacks.iop.org/0026-1394/53/i=1/a=S32]
•	C. Elster and G. Wübbeler Bayesian regression versus application of least squares—an example. Metrologia, 53(1), S10, 2016. [DOI: 10.1088/0026-1394/53/1/S10] [http://stacks.iop.org/0026-1394/53/i=1/a=S10]
•	O. Bodnar, A. Link and C. Elster Objective Bayesian Inference for a Generalized Marginal Random Effects Model. Bayesian Analysis, 11(1), 25-45, 2016. [DOI: 10.1214/14-BA933] [http://projecteuclid.org/euclid.ba/1423083638] (Open Access)
•	J. Gienger, N. Severin, J. Rabe and I. M. Sokolov Reconstructing interaction potentials in thin films from real-space images. Phys. Rev. E, 93(4), 043306, 2016. [DOI: 10.1103/PhysRevE.93.043306]
•	A. Oza, S. Heidenreich and J. Dunkel Generalized Swift-Hohenberg models for dense active suspensions. Eur. Phys. J. E, 39(10), 97, 2016. [DOI: 10.1140/epje/i2016-16097-2]
2015
•	A. Weissenbrunner, A. Fiebach, S. Schmelter, M. Straka, M. Bär and T. Lederer Numerical prediction of the flow rate through a flow meter with uncertain inflow profile. Proceedings of Imeko 2015 XXI World Congress Measurement in Research and Industry, 2015.
•	R. Großmann, F. Peruani and M. Bär A geometric approach to self-propelled motion in isotropic & anisotropic environments. Eur. Phys. J - Special Topics, 224(7), 1377-1394, 2015. [DOI: 10.1140/epjst/e2015-02465-0]
•	S. Heidenreich, H. Gross and M. Bär Bayesian approach to the statistical inverse problem of scatterometry: Comparison of three surrogate models. International Journal for Uncertainty Quantification, 511, 2015. [DOI: 10.1615/Int.J.UncertaintyQuantification.2015013050]
•	D. Bunk, J. Noble, A. E. Knight, L. Wang, K. Klauenberg, M. Walzel and C. Elster CCQM-P58.1: Immunoassay Quantitation of Human Cardiac Troponin I.. Metrologia, 52(1A), 08006, 2015. [DOI: 10.1088/0026-1394/52/1A/08006] [http://stacks.iop.org/0026-1394/52/i=1A/a=08006]
•	M. Radszuweit, E. Alvarez-Lacalle, M. Bär and B. Echebarria Cardiac contraction induces discordant alternans and localized block. Phys. Rev. E, 91 022703, 2015. [DOI: 10.1103/PhysRevE.91.022703]
•	K. Klauenberg, G. Wübbeler, B. Mickan, P. Harris and C. Elster A tutorial on Bayesian Normal linear regression. Metrologia, 52(6), 878--892, 2015. [DOI: 10.1088/0026-1394/52/6/878]
•	H. Bosse, B. Bodermann, G. Dai, J. Flügge, C. G. Frase, H. Gross, W. Häßler-Grohne, P. Köchert, R. Könning, F. Scholze and C. Weichert Challenges in nanometrology: high precision measurement of position and size. Technisches Messen, 82 346-358, 2015.
•	S. Schmelter, A. Fiebach, R. Model and M. Bär Numerical prediction of the influence of uncertain inflow conditions in pipes by polynomial chaos. Int. J. Comp. Fluid. Dyn., 29(6-8), 411-422, 2015. [DOI: 10.1080/10618562.2015.1112899]
•	M. Kobusch, S. Eichstädt, L. Klaus and T. Bruns Investigations for the model-based dynamic calibration of force transducers by using shock excitation. ACTA IMEKO, 4(2), 45-51, 2015. [http://acta.imeko.org/ind...04%20%282015%29-02-08/384] (Open Access)
•	R. Großmann, P. Romanczuk, M. Bär and L. Schimansky-Geier Pattern formation in active particle systems due to competing alignment interactions. Eur. Phys. J - Special Topics, 224(7), 1325-1347, 2015. [DOI: 10.1140/epjst/e2015-02462-3]
•	L. Klaus, B. Arendacká, M. Kobusch and T. Bruns Dynamic torque calibration by means of model parameter identification. ACTA IMEKO, 3(1), 1-6, 2015. [http://acta.imeko.org/ind...04%20%282015%29-02-07/385] (Open Access)
•	G. Wübbeler, O. Bodnar, B. Mickan and C. Elster Explanatory power of degrees of equivalence in the presence of a random instability of the common measurand. Metrologia, 52(2), 400--405, 2015. [DOI: 10.1088/0026-1394/52/2/400] [http://iopscience.iop.org...0.1088/0026-1394/52/2/400]
•	H. Groß, S. Heidenreich, M.-A. Henn, M. Bär and A. Rathsfeld Modeling aspects to improve the solution of the inverse problem in scatterometry. Cont. Dyn. S. - S, 8 497-519, 2015. [DOI: 10.3934/dcdss.2015.8.497]
•	G. J. P. Kok, A. M. H. van der Veen, P. M. Harris, I. M. Smith and C. Elster Bayesian analysis of a flow meter calibration problem. Metrologia, 52(2), 392-399, 2015. [DOI: 10.1088/0026-1394/52/2/392] [http://iopscience.iop.org...0.1088/0026-1394/52/2/392]
•	T. Niedermayer and R. Lipowsky Association-dissociation process with aging subunits: Recursive solution. Phys. Rev. E, 92(5), 2015. [DOI: 10.1103/PhysRevE.92.052137]
•	K. Klauenberg, M. Walzel, B. Ebert and C. Elster Informative prior distributions for ELISA analyses. Biostatistics, 16(3), 454--64, 2015. [DOI: 10.1093/biostatistics/kxu057] [http://biostatistics.oxfo...nals.org/content/16/3/454]
2014
•	J. Siebert, S. Alonso, M. Bär and E. Schöll Dynamics of reation-diffusion patterns controlled by asymmetric nonlocal coupling as a limiting case of differential advection. Phys. Rev. E, 89 052909, 2014. [DOI: 10.1103/PhysRevE.89.052909]
•	M. Meyer, L. Schimansky-Geier and P. Romanczuk Active Brownian agents with concentration-dependent chemotactic sensitivity. Phys. Rev. E, 89(2), 022711, 2014. [DOI: 10.1103/PhysRevE.89.022711] [http://www.ncbi.nlm.nih.gov/pubmed/25353513]
•	A. Possolo and C. Elster Evaluating the uncertainty of input quantities in measurement models. Metrologia, 51(3), 339--353, 2014. [DOI: 10.1088/0026-1394/51/3/339] [http://iopscience.iop.org...0.1088/0026-1394/51/3/339]
•	C. Matthews, F. Pennecchi, S. Eichstädt, A. Malengo, T. Esward, I. M. Smith, C. Elster, A. Knott, F. Arrhén and A. Lakka Mathematical modelling to support traceable dynamic calibration of pressure sensors. Metrologia, 51(3), 326-338, 2014. [DOI: 10.1088/0026-1394/51/3/326] [http://iopscience.iop.org...0.1088/0026-1394/51/3/326]
•	G. Wendt, R. Jost, S. Schmelter and D. Werner Untersuchungen zum Temperaturverhalten von Flüssigkeiten in großen Lagertanks. Technische Sicherheit, 11 13--17, 2014.
•	S. Eichstädt, B. Arendacká, A. Link and C. Elster Evaluation of measurement uncertainties for time-dependent quantities. EPJ Web of Conferences, 77(3), 2014. [DOI: 10.1051/epjconf/20147700003]
•	L. Spinelli, M. Botwicz, N. Zolek, M. Kacprzak, D. Milej, P. Sawosz, A. Liebert, U. Weigel, T. Durduran, F. Foschum, A. Kienle, F. Baribeau, S. Leclair, J.-P. Bouchard, I. Noiseux, P. Gallant, O. Mermut, A. Farina, A. Pifferi, A. Torricelli, R. Cubeddu, H.-C. Ho, M. Mazurenka, H. Wabnitz, K. Klauenberg, O. Bodnar, C. Elster, M. Bénazech-Lavoué, Y. Bérubé-Lauzière, F. Lesage, D. Khoptyar, A. A. Subash, S. Andersson-Engels, P. Di Ninni, F. Martelli and G. Zaccanti Determination of reference values for optical properties of liquid phantoms based on Intralipid and India ink. Biomedical optics express, 5(7), 2037--53, 2014. [DOI: 10.1364/BOE.5.002037] [http://www.osapublishing....7&seq=0&html=true]
•	F. Schmähling, G. Wübbeler, M. Lopez, F. Gassmann, U. Krüger, F. Schmidt, A. Sperling and C. Elster Virtual experiment for near-field goniophotometric measurements. Applied optics, 53(7), 1481--7, 2014. [DOI: 10.1364/AO.53.001481] [http://www.osapublishing....1&seq=0&html=true]
•	D. Schüler, S. Alonso, A. Torcini and M. Bär Spatio-temporal dynamics induced by competing instabilities in two asymmetrically coupled nonlinear evolution equations. Chaos, 24(4), 043142, 2014. [DOI: 10.1063/1.4905017] [http://scitation.aip.org/...os/24/4/10.1063/1.4905017]
•	M. Radszuweit, H. Engel and M. Bär An active poroelastic model for mechanochemical patterns in protoplasmic droplets of Physarum polycephalum. PloS one, 9(6), e99220, 2014. [DOI: 10.1371/journal.pone.0099220] [http://journals.plos.org/...1371/journal.pone.0099220]
•	O. Bodnar and C. Elster Analytical derivation of the reference prior by sequential maximization of Shannon's mutual information in the multi-group parameter case. Journal of Statistical Planning and Inference, 147 106--116, 2014. [DOI: 10.1016/j.jspi.2013.11.003] [http://www.sciencedirect....cle/pii/S0378375813002802]
•	O. Bodnar and C. Elster On the adjustment of inconsistent data using the Birge ratio. Metrologia, 51(5), 516--521, 2014. [DOI: 10.1088/0026-1394/51/5/516] [http://iopscience.iop.org...0.1088/0026-1394/51/5/516]
•	S. Eichstädt and C. Elster Reliable uncertainty evaluation for ODE parameter estimation - a comparison. Journal of Physics: Conference Series, 490(1), 012230, 2014. [DOI: 10.1088/1742-6596/490/1/012230] [http://iopscience.iop.org...88/1742-6596/490/1/012230]
•	G. Dai, K. Hahm, F. Scholze, M.-A. Henn, H. Groß, J. Fluegge and H. Bosse Measurements of CD and sidewall profile of EUV photomask structures using CD-AFM and tilting-AFM. Meas. Sci. Tech., 25(4), 044002, 2014. [DOI: 10.1088/0957-0233/25/4/044002] [http://iopscience.iop.org...088/0957-0233/25/4/044002]
•	S. Alonso and M. Bär Modeling domain formation of MARCKS and protein kinase C at cellular membranes. Eur. Phys. J. E, 2(1), 1, 2014. [DOI: 10.1140/epjnbp14] [http://link.springer.com/10.1140/epjnbp14]
•	B. Arendacká Independent Quadratic Forms in 3-Variance-Component Models. Communications in Statistics - Theory and Methods, 43(5), 975-988, 2014. [DOI: 10.1080/03610926.2013.841925] [http://www.tandfonline.co...841925?journalCode=lsta20]
•	B. Arendacká and S. Puntanen Further remarks on the connection between fixed linear model and mixed linear model. Statistical Papers, 56(4), 1235--1247, 2014. [DOI: 10.1007/s00362-014-0634-2] [http://link.springer.com/10.1007/s00362-014-0634-2]
•	B. Arendacká, A. Täubner, S. Eichstädt, T. Bruns and C. Elster Linear Mixed Models: Gum and Beyond. Measurement Science Review, 14(2), 52-61, 2014. [DOI: 10.2478/msr-2014-0009] [http://www.degruyter.com/...14-0009/msr-2014-0009.xml]
•	R. Großmann, P. Romanczuk, M. Bär and L. Schimansky-Geier Vortex arrays and mesoscale turbulence of self-propelled particles. Phys. Rev. Lett., 113(25), 258104, 2014. [DOI: 10.1103/PhysRevLett.113.258104] [http://www.ncbi.nlm.nih.gov/pubmed/25554911]
•	S. J. Haslett, S. Puntanen and B. Arendacká The link between the mixed and fixed linear models revisited. Statistical Papers, 56(3), 849--861, 2014. [DOI: 10.1007/s00362-014-0611-9] [http://link.springer.com/10.1007/s00362-014-0611-9]
•	S. Heidenreich, H. Gross, M.-A. Henn, C. Elster and M. Bär A surrogate model enables a Bayesian approach to the inverse problem of scatterometry. J. Phys. Conf. Ser., 490(1), 012007, 2014. [DOI: 10.1088/1742-6596/490/1/012007] [http://iopscience.iop.org...88/1742-6596/490/1/012007]
•	K. John, S. Alonso and M. Bär Traveling waves and global oscillations triggered by attractive molecular interactions in an excitable system. Phys. Rev. E, 90(5-1), 052913, 2014. [DOI: 10.1103/PhysRevE.90.052913] [http://www.ncbi.nlm.nih.gov/pubmed/25493864]
•	M.-A. Henn, H. Gross, S. Heidenreich, F. Scholze, C. Elster and M. Bär Improved reconstruction of critical dimensions in extreme ultraviolet scatterometry by modeling systematic errors. Measurement Science and Technology, 25(4), 044003, 2014. [DOI: 10.1088/0957-0233/25/4/044003] [http://iopscience.iop.org...088/0957-0233/25/4/044003]
•	S. Heidenreich, S. H. L. Klapp and M. Bär Numerical simulations of a minimal model for the fluid dynamics of dense bacterial suspensions. J.Phys.: Conf. Ser., 490(1), 012126, 2014. [DOI: 10.1088/1742-6596/490/1/012126] [http://iopscience.iop.org...88/1742-6596/490/1/012126]
•	H. Groß, S. Heidenreich, M.-A. Henn, G. Dai, F. Scholze and M. Bär Modelling line edge roughness in periodic line-space structures by Fourier optics to improve scatterometry. J. Europ.Opt. Soci.Rap. Pub., 9 14003, 2014. [DOI: 10.2971/jeos.2014.14003] [http://www.jeos.org/index...os\_rp/article/view/14003]
•	R. D. Geckeler, A. Link, M. Krause and C. Elster Capabilities and limitations of the self-calibration of angle encoders. Measurement Science and Technology, 25(5), 055003, 2014. [DOI: 10.1088/0957-0233/25/5/055003] [http://iopscience.iop.org...088/0957-0233/25/5/055003]
•	I. Fortmeier, M. Stavridis, A. Wiegmann, M. Schulz, W. Osten and C. Elster Analytical Jacobian and its application to tilted-wave interferometry. Optics express, 22(18), 21313--25, 2014. [DOI: 10.1364/OE.22.021313] [http://www.osapublishing....3&seq=0&html=true]
•	A. Fiebach, A. Glitzky and A. Linke Uniform global bounds for solutions of an implicit Voronoi finite volume method for reactionâ€“diffusion problems. Numerische Mathematik, 128(1), 31--72, 2014. [DOI: 10.1007/s00211-014-0604-6] [http://link.springer.com/10.1007/s00211-014-0604-6]
•	C. Elster Bayesian uncertainty analysis compared with the application of the GUM and its supplements. Metrologia, 51(4), S159--S166, 2014. [DOI: 10.1088/0026-1394/51/4/S159] [http://iopscience.iop.org....1088/0026-1394/51/4/S159]
2013
•	S. Schmelter, R. Model, G. Wendt and M. Bär Numerical investigation of temperature distributions in large storage tanks. Proceedings of Flomeko 2013 16th International Flow Measurement Conference, 2013.
•	A. Jegou, T. Niedermayer, R. Lipowsky, M. Carlier and G. Romet-Lemonne On Phosphate Release in Actin Filaments. Biophysical journal, 104(12), 2013. [DOI: 10.1016%2Fj.bpj.2013.05.019]
•	J. Dunkel, S. Heidenreich, K. Drescher, H. H. Wensink, M. Bär and R. E. Goldstein Fluid Dynamics of Bacterial Turbulence. Phys. Rev. Lett., 110 228102, 2013. [DOI: 10.1103/PhysRevLett.110.228102]
•	M. Radszuweit, S. Alonso, H. Engel and M. Bär Intracellular mechanochemical waves in an active poroelastic model. Phys. Rev. Lett., 110(13), 138102, 2013. [DOI: 10.1103/PhysRevLett.110.138102] [http://www.ncbi.nlm.nih.gov/pubmed/23581377]
•	F. Peruani and M. Bär A kinetic model and scaling properties of non-equilibrium clustering of self-propelled particles. New J. Phys., 15(6), 065009, 2013. [DOI: 10.1088/1367-2630/15/6/065009] [http://iopscience.iop.org...088/1367-2630/15/6/065009]
•	K. Jousten, S. Pantazis, J. Buthig, R. Model, M. Wüest and J. Iwicki A standard to test the dynamics of vacuum gauges in the millisecond range. Vacuum, 100 14--17, 2013. [DOI: 10.1016/j.vacuum.2013.07.037] [http://www.sciencedirect....cle/pii/S0042207X13002546]
•	K. Jousten, K. Arai, U. Becker, O. Bodnar, F. Boineau, J. A. Fedchak, V. Gorobey, W. Jian, D. Mari, P. Mohan, J. Setina, B. Toman, M. Vivcar and Y. H. Yan Final report of key comparison CCM.P-K12 for very low helium flow rates (leak rates). Metrologia, 50(1A), 07001--07001, 2013. [DOI: 10.1088/0026-1394/50/1A/07001] [http://iopscience.iop.org...088/0026-1394/50/1A/07001]
•	G. Wübbeler and C. Elster Simplified evaluation of magnetic field fluctuation thermometry. Measurement Science and Technology, 24(11), 115004, 2013. [DOI: 10.1088/0957-0233/24/11/115004] [http://iopscience.iop.org...88/0957-0233/24/11/115004]
•	O. Bodnar, A. Link, K. Klauenberg, K. Jousten and C. Elster Application of Bayesian model averaging using a fixed effects model with linear drift for the analysis of key comparison CCM.P-K12. Measurement Techniques, 56(6), 584--590, 2013. [DOI: 10.1007/s11018-013-0249-3] [http://link.springer.com/10.1007/s11018-013-0249-3]
•	O. Bodnar, T. Bodnar and Y. Okhrin Robust Surveillance of Covariance Matrices Using a Single Observation. Sankhya A, 76(2), 219--256, 2013. [DOI: 10.1007/s13171-013-0044-x] [http://link.springer.com/10.1007/s13171-013-0044-x]
•	S. Eichstädt, F. Schmähling, G. Wübbeler, K. Anhalt, L. Bünger, U. Krüger and C. Elster Comparison of the Richardson-Lucy method and a classical approach for spectrometer bandpass correction. Metrologia, 50(2), 107-118, 2013. [DOI: 10.1088/0026-1394/50/2/107] [http://iopscience.iop.org...0.1088/0026-1394/50/2/107]
•	G. Ehret, M. Schulz, M. Baier and A. Fitzenreiter Optical measurement of absolute flatness with the deflectometric measurement systems at PTB. Journal of Physics: Conference Series, 425(15), 152016, 2013. [DOI: 10.1088/1742-6596/425/15/152016] [http://iopscience.iop.org...8/1742-6596/425/15/152016]
•	J. Dunkel, S. Heidenreich, M. Bär and R. E. Goldstein Minimal continuum theories of structure formation in dense active fluids. New J. Phys., 15(4), 045016, 2013. [DOI: 10.1088/1367-2630/15/4/045016] [http://iopscience.iop.org...088/1367-2630/15/4/045016]
•	P. Dähmlow, S. Alonso, M. Bär and M. J. B. Hauser Twists of opposite handedness on a scroll wave. Phys. Rev. Lett., 110(23), 234102, 2013. [DOI: 10.1103/PhysRevLett.110.234102] [http://www.ncbi.nlm.nih.gov/pubmed/25167496]
•	S. Alonso and A. V. Panfilov Negative tension of scroll wave filaments and turbulence in three-dimensional excitable media and application in cardiac dynamics. Bull. Math. Biol., 75(8), 1351--76, 2013. [DOI: 10.1007/s11538-012-9748-7] [http://www.ncbi.nlm.nih.gov/pubmed/22829178]
•	S. Alonso and M. Bär Reentry near the percolation threshold in a heterogeneous discrete model for cardiac tissue. Phys. Rev. Lett., 110(15), 158101, 2013. [DOI: 10.1103/PhysRevLett.110.158101] [http://www.ncbi.nlm.nih.gov/pubmed/25167313]
•	I. Aranson Viewpoint: The Aquatic Dance of Bacteria. Physics, 6 2013. [http://physics.aps.org/articles/v6/61]
•	C. Elster and B. Toman Analysis of key comparison data: critical assessment of elements of current practice with suggested improvements. Metrologia, 50(5), 549--555, 2013. [DOI: 10.1088/0026-1394/50/5/549] [http://iopscience.iop.org...0.1088/0026-1394/50/5/549]
•	M. Radszuweit An Active Poroelastic Model for Cytoplasm and Pattern Formation in Protoplasmic Droplets of Physarum Polycephalum. 2013.
•	F. Kohl Blind separation of dependent source signals for MEG sensory stimulation experiments. PhD Thesis 2013.
•	M.-A. Henn Statistical Approaches to the Inverse Problem of Scatterometry. 2013.
•	A. Fiebach A dissipative finite volume scheme for reaction-diffusion systems in heterogeneous materials. 2013. [http://www.diss.fu-berlin...ISS\_thesis\_000000096910]
2012
•	T. Niedermayer, A. Jegou, L. Chieze, B. Guichard, E. Helfer, G. Romet-Lemonne, M. Carlier and R. Lipowsky Intermittent depolymerization of actin filaments is caused by photo-induced dimerization of actin protomers. Proc. Natl. Acad. Sci. U.S.A., 109(27), 10769--10774, 2012. [DOI: 10.1073%2Fpnas.1121381109]
•	S. Eichstädt, A. Link, P. M. Harris and C. Elster Efficient implementation of a Monte Carlo method for uncertainty evaluation in dynamic measurements. Metrologia, 49(3), 401, 2012. [DOI: 10.1088/0026-1394/49/3/401]
•	S. Nevas, G. Wübbeler, A. Sperling, C. Elster and A. Teuber Simultaneous correction of bandpass and stray-light effects in array spectroradiometer data. Metrologia, 49(2), S43--S47, 2012. [DOI: 10.1088/0026-1394/49/2/S43] [http://iopscience.iop.org...0.1088/0026-1394/49/2/S43]
•	F. Peruani, J. Starruß, V. Jakovljevic, L. Søgaard-Andersen, A. Deutsch and M. Bär Collective Motion and Nonequilibrium Cluster Formation in Colonies of Gliding Bacteria. Phys. Rev. Lett., 108(9), 098102, 2012. [DOI: 10.1103/PhysRevLett.108.098102] [http://link.aps.org/doi/1...03/PhysRevLett.108.098102]
•	K. Klauenberg and C. Elster The multivariate normal mean - sensitivity of its objective Bayesian estimates. Metrologia, 49(3), 395--400, 2012. [DOI: 10.1088/0026-1394/49/3/395] [http://iopscience.iop.org...0.1088/0026-1394/49/3/395]
•	J. Löber, M. Bär and H. Engel Front propagation in one-dimensional spatially periodic bistable media. Phys. Rev. E, 86(6 Pt 2), 066210, 2012. [DOI: 10.1103/PhysRevE.86.066210] [http://www.ncbi.nlm.nih.gov/pubmed/23368027]
•	I. Lira, A. G. Chunovkina, C. Elster and W. Wöger Analysis of Key Comparisons Incorporating Knowledge About Bias. IEEE Transactions on Instrumentation and Measurement, 61(8), 2079--2084, 2012. [DOI: 10.1109/TIM.2012.2193690] [http://ieeexplore.ieee.or...pper.htm?arnumber=6189781]
•	A. Liebert, H. Wabnitz and C. Elster Determination of absorption changes from moments of distributions of times of flight of photons: optimization of measurement conditions for a two-layered tissue model. Journal of biomedical optics, 17(5), 057005, 2012. [DOI: 10.1117/1.JBO.17.5.057005] [http://biomedicaloptics.s...le.aspx?articleid=1183164]
•	H. H. Wensink, J. Dunkel, S. Heidenreich, K. Drescher, R. E. Goldstein, H. Löwen and J. M. Yeomans Meso-scale turbulence in living fluids. Proc. Natl. Acad. Sci. U.S.A., 109(36), 14308--13, 2012. [DOI: 10.1073/pnas.1202032109] [http://www.pnas.org/content/109/36/14308]
•	P. Romanczuk, M. Bär, W. Ebeling, B. Lindner and L. Schimansky-Geier Active Brownian particles. Eur. Phys. J. - Special Topics, 202(1), 1--162, 2012. [DOI: 10.1140/epjst/e2012-01529-y] [http://www.springerlink.c....1140/epjst/e2012-01529-y]
•	J. Starruß, F. Peruani, V. Jakovljevic, L. Søgaard-Andersen, A. Deutsch and M. Bär Pattern-formation mechanisms in motility mutants of Myxococcus xanthus. Interface focus, 2(6), 774--85, 2012. [DOI: 10.1098/rsfs.2012.0034] [http://rsfs.royalsocietyp...shing.org/content/2/6/774]
•	G. Wübbeler, F. Schmähling, J. Beyer, J. Engert and C. Elster Analysis of magnetic field fluctuation thermometry using Bayesian inference. Measurement Science and Technology, 23(12), 125004, 2012. [DOI: 10.1088/0957-0233/23/12/125004] [http://iopscience.iop.org...88/0957-0233/23/12/125004]
•	B. Toman, J. Fischer and C. Elster Alternative analyses of measurements of the Planck constant. Metrologia, 49(4), 567--571, 2012. [DOI: 10.1088/0026-1394/49/4/567] [http://iopscience.iop.org...0.1088/0026-1394/49/4/567]
•	T. Bruns, A. Link and A. Täubner The influence of different vibration exciter systems on high frequency primary calibration of single-ended accelerometers: II. Metrologia, 49(1), 27--31, 2012. [DOI: 10.1088/0026-1394/49/1/005] [http://iopscience.iop.org...0.1088/0026-1394/49/1/005]
•	B. Bodermann, F. Scholze, J. Flügge, H. Groß and H. Bosse Nanometrology at PTB in support of process control of nanoscale features in semiconductor manufacturing. International Journal of Nanomanufacturing, 8(1), 2012.
•	W. Bich, M. G. Cox, R. Dybkaer, C. Elster, W. T. Estler, B. Hibbert, H. Imai, W. Kool, C. Michotte, L. Nielsen, L. Pendrill, S. Sidney, A. M. H. van der Veen and W. Wöger Revision of the "Guide to the Expression of Uncertainty in Measurement". Metrologia, 49(6), 702--705, 2012. [DOI: 10.1088/0026-1394/49/6/702] [http://iopscience.iop.org...0.1088/0026-1394/49/6/702]
•	M. Bär, E. Schöll and A. Torcini Synchronization and complex dynamics of oscillators with delayed pulse coupling. Angewandte Chemie (International ed. in English), 51(38), 9489--90, 2012. [DOI: 10.1002/anie.201205214] [http://www.ncbi.nlm.nih.gov/pubmed/22915494]
•	M.-A. Henn, S. Heidenreich, H. Groß, A. Rathsfeld, F. Scholze and M. Bär Improved grating reconstruction by determination of line roughness in extreme ultraviolet scatterometry. Opt. Lett., 37(24), 5229--5231, 2012. [DOI: 10.1364/OL.37.005229]
•	M.-A. Henn, H. Gross, F. Scholze, M. Wurm, C. Elster and M. Bär A maximum likelihood approach to the inverse problem of scatterometry. Optics Express, 20(12), 12771-86, 2012. [DOI: 10.1364/OE.20.012771] [http://www.osapublishing....1&seq=0&html=true]
•	C. Elster and I. Lira On the choice of a noninformative prior for Bayesian inference of discretized normal observations. Computational Statistics, 27(2), 219--235, 2012. [DOI: 10.1007/s00180-011-0251-7] [http://link.springer.com/10.1007/s00180-011-0251-7]
•	H. Groß, M.-A. Henn, S. Heidenreich, A. Rathsfeld and M. Bär Modeling of line roughness and its impact on the diffraction intensities and the reconstructed critical dimensions in scatterometry. Appl. Opt., 51(30), 7384--94, 2012. [DOI: 10.1364/AO.51.007384] [http://www.osapublishing....4&seq=0&html=true]
•	H. Füser, S. Eichstädt, K. Baaske, C. Elster, K. Kuhlmann, R. Judaschke, K. Pierz and M. Bieler Optoelectronic time-domain characterization of a 100 GHz sampling oscilloscope. Measurement Science and Technology, 23(2), 025201, 2012. [DOI: 10.1088/0957-0233/23/2/025201] [http://iopscience.iop.org...088/0957-0233/23/2/025201]
•	G. Wübbeler, P. M. Harris, M. G. Cox and C. Elster Assessment of the GUM S1 Adaptive Monte Carlo Scheme. In F. Pavese, M. Bär, J.M. Limares, C. Perruchet, N.F. Zhang, editor, Volume Advanced Mathematical & Computational Tools in Metrology IX of Series on Advances in Mathematics for Applied Sciences Chapter 54, page 434 Publisher: World Scientific New Jersey, 84 edition 2012.
•	R. Model, S. Schmelter, G. Lindner and M. Bär Numerical simulations and turbulent modelling for application in flow metrology. In F. Pavese, M. Bär, J.-R. Filtz, A. B. Forbes, L. Pendrill and K. Shirono, editor, Volume 84 Publisher: World Scientific, New Jersey, 2012.
•	S. Eichstädt and C. Elster Uncertainty evaluation for continuous-time measurements. In F. Pavese, M. Bär, J.-R. Filtz, A. B. Forbes, L. Pendrill, K. Shirono, editor, Volume Advanced Mathematical & Computational Tools in Metrology and Testing IX of Series on Advances in Mathematics for Applied Sciences Chapter 16, page 126-135 Publisher: World Scientific New Jersey, 84 edition 2012.
•	T. J. Esward, C. Matthews, S. Downes, A. Knott, S. Eichstädt and C. Elster Uncertainty evaluation for traceable dynamic measurement of mechanical quantities: A case study in dynamic pressure calibration. In F. Pavese, M. Bär, J.-R. Filtz, A. B. Forbes, L. Pendrill, K. Shirono, editor, Volume Advanced Mathematical & Computational Tools in Metrology and Testing IX of Series on Advances in Mathematics for Applied Sciences Chapter 19, page 143-151 Publisher: World Scientific New Jersey, 84 edition 2012.
•	H. Groß, M.-A. Henn, A. Rathsfeld and M. Bär Stochastic modeling aspects for an improved solution of the inverse problem in scatterometry. In F. Pavese, M. Bär, J.-R. Filtz, A. B. Forbes, L. Pendrill, K. Shirono, editor, Publisher: World Scientific New Jersey, 2012.
•	S. Eichstädt Analysis of Dynamic Measurements - Evaluation of dynamic measurement uncertainty. PhD Thesis 2012.
2011
•	K. Schmoller, T. Niedermayer, C. Zensen, C. Wurm and A. Bausch Fragmentation Is Crucial for the Steady-State Dynamics of Actin Filaments. Biophysical Journal, 101(4), 803--808, 2011. [DOI: 10.1016%2Fj.bpj.2011.07.009]
•	A. Jegou, T. Niedermayer, J. Orban, R. Lipowsky, M. Carlier and G. Romet-Lemonne Individual Actin Filaments in a Microfluidic Flow Reveal the Mechanism of {ATP} Hydrolysis and Give Insight Into the Properties of Profilin. PLoS Biology, 9(9), 2011. [DOI: 10.1371/journal.pbio.1001161]
•	I. Romero, E. Fleck and C. Kriatselis Frequency analysis of atrial fibrillation surface and intracardiac electrograms during pulmonary vein isolation. Europace, 13(9), 1340--1345, 2011. [DOI: 10.1093/europace/eur104]
•	F. Peruani, F. Ginelli, M. Bär and H. Chaté Polar vs. apolar alignment in systems of polar self-propelled particles. J. Phys.: Conf. Ser., 297(1), 012014, 2011. [DOI: 10.1088/1742-6596/297/1/012014] [http://iopscience.iop.org...88/1742-6596/297/1/012014]
•	H. Koch, R.-D. Bousseljot, O. Kosch, C. Jahnke, I. Paetsch, E. Fleck and B. Schnackenburg A reference dataset for verifying numerical electrophysiological heart models. Biomedical engineering online, 10(1), 11, 2011. [DOI: 10.1186/1475-925X-10-11] [http://www.biomedical-eng...nline.com/content/10/1/11]
•	K. Klauenberg, B. Ebert, J. Voigt, M. Walzel, J. E. Noble, A. E. Knight and C. Elster Bayesian analysis of an international ELISA comparability study. Clinical chemistry and laboratory medicine : CCLM / FESCC, 49(9), 1459--68, 2011. [DOI: 10.1515/CCLM.2011.648] [http://www.degruyter.com/...011.648/cclm.2011.648.xml]
•	K. Klauenberg, P. G. Blackwell, C. E. Buck, R. Mulvaney, R. Röthlisberger and E. W. Wolff Bayesian Glaciological Modelling to quantify uncertainties in ice core chronologies. Quaternary Science Reviews, 30(21-22), 2961--2975, 2011. [DOI: 10.1016/j.quascirev.2011.03.008] [http://www.sciencedirect....cle/pii/S0277379111000801]
•	D. Kupitz, S. Alonso, M. Bär and M. J. B. Hauser Surfactant-induced gradients in the three-dimensional Belousov-Zhabotinsky reaction. Phys. Review. E, 84(5 Pt 2), 056210, 2011. [DOI: 10.1103/PhysRevE.84.056210] [http://www.ncbi.nlm.nih.gov/pubmed/22181487]
•	A. Wiegmann, M. Schulz and C. Elster Absolute Profilmessung optischer Oberflächen mit Mehrfachsensorsystemen. tm - Technisches Messen, 78(4), 184--189, 2011. [DOI: 10.1524/teme.2011.0102] [http://www.degruyter.com/...1.0102/teme.2011.0102.xml]
•	A. Wiegmann, M. Stavridis, M. Walzel, F. Siewert, T. Zeschke, M. Schulz and C. Elster Accuracy evaluation for sub-aperture interferometry measurements of a synchrotron mirror using virtual experiments. Precision Engineering, 35(2), 183--190, 2011. [DOI: 10.1016/j.precisioneng.2010.08.007] [http://www.sciencedirect....cle/pii/S014163591000125X]
•	G. Wübbeler, G. J. Padilla Viquez, K. Jousten, O. Werhahn and C. Elster Comparison and assessment of procedures for calculating the R(12) line strength of the ν1 + 2 ν2 + ν3 band of CO2. The Journal of Chemical Physics, 135(20), 204304, 2011. [DOI: 10.1063/1.3662134] [http://scitation.aip.org/.../135/20/10.1063/1.3662134]
•	O. Bodnar, G. Wübbeler and C. Elster On the application of Supplement 1 to the GUM to non-linear problems. Metrologia, 48(5), 333--342, 2011. [DOI: 10.1088/0026-1394/48/5/014] [http://iopscience.iop.org...0.1088/0026-1394/48/5/014]
•	B. Echebarria, G. Röder, H. Engel, J. Davidsen and M. Bär Supernormal conduction in cardiac tissue promotes concordant alternans and action potential bunching. Phys. Rev. E, 83(4 Pt 1), 040902, 2011. [DOI: 10.1103/PhysRevE.83.040902] [http://www.ncbi.nlm.nih.gov/pubmed/21599107]
•	S. Alonso, K. John and M. Bär Complex wave patterns in an effective reaction-diffusion model for chemical reactions in microemulsions. J. Chem. Phys., 134(9), 094117, 2011. [DOI: 10.1063/1.3559154] [http://scitation.aip.org/...p/134/9/10.1063/1.3559154]
•	S. Alonso, U. Dietrich, C. Händel, J. A. Käs and M. Bär Oscillations in the lateral pressure of lipid monolayers induced by nonlinear chemical dynamics of the second messengers MARCKS and protein kinase C. Biophys. J., 100(4), 939--47, 2011. [DOI: 10.1016/j.bpj.2010.12.3702] [http://www.sciencedirect....cle/pii/S0006349510052197]
•	S. Alonso, M. Bär and A. Panfilov Effects of reduced discrete coupling on filament tension in excitable media. Chaos, 21(1), 013118, 2011. [DOI: 10.1063/1.3551500] [http://scitation.aip.org/...os/21/1/10.1063/1.3551500]
•	C. Elster and B. Toman Bayesian uncertainty analysis for a regression model versus application of GUM Supplement 1 to the least-squares estimate. Metrologia, 48(5), 233--240, 2011. [DOI: 10.1088/0026-1394/48/5/001] [http://iopscience.iop.org...0.1088/0026-1394/48/5/001]
•	H. Förster, W. Günther, G. Lindner and R. Model Untersuchungen zur Explosionsgefahr beim Umschlag von Kerosin Jet A-1. Technische Sicherheit, 1 18--27, 2011.
2010
•	S. Fruhner, H. Engel and M. Bär Modelling the influence of cardiac motion on electrical excitation and the magnetocardiogram. Comp. Cardiology, 37 867, 2010.
•	F. Peruani, L. Schimansky-Geier and M. Bär Cluster dynamics and cluster size distributions in systems of self-propelled particles. Eur. Phys. J-Special Topics, 191(1), 173--185, 2010. [DOI: 10.1140/epjst/e2010-01349-1] [http://www.springerlink.c....1140/epjst/e2010-01349-1]
•	F. Kohl, G. Wübbeler, D. Kolossa, M. Bär, R. Orglmeister and C. Elster Shifted factor analysis for the separation of evoked dependent MEG signals. Physics in medicine and biology, 55(15), 4219--30, 2010. [DOI: 10.1088/0031-9155/55/15/002] [http://iopscience.iop.org....1088/0031-9155/55/15/002]
•	S. Leistner, T. Sander, G. Wübbeler, A. Link, C. Elster, G. Curio, L. Trahms and B. M. Mackert Magnetoencephalography discriminates modality-specific infraslow signals less than 0.1 Hz. NeuroReport, 21(3), 196--200, 2010.
•	A. Wiegmann, M. Schulz and C. Elster Improving the lateral resolution of a multi-sensor profile measurement method by non-equidistant sensor spacing. Optics express, 18(15), 15807--19, 2010. [DOI: 10.1364/OE.18.015807] [http://www.osapublishing....7&seq=0&html=true]
•	M. Schulz, G. Ehret, M. Stavridis and C. Elster Concept, design and capability analysis of the new Deflectometric Flatness Reference at PTB. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 616(2-3), 134--139, 2010. [DOI: 10.1016/j.nima.2009.10.108] [http://www.sciencedirect....cle/pii/S0168900209020592]
•	T. H. Sander, T. R. Knösche, A. Schlögl, F. Kohl, C. H. Wolters, J. Haueisen and L. Trahms Recent advances in modeling and analysis of bioelectric and biomagnetic sources. Biomedizinische Technik. Biomedical engineering, 55(2), 65--76, 2010. [DOI: 10.1515/BMT.2010.027] [http://www.degruyter.com/...2010.027/bmt.2010.027.xml]
•	M. Radszuweit, H. Engel and M. Bär A model for oscillations and pattern formation in protoplasmic droplets of Physarum polycephalum. Eur. Phys. J. - Special Topics, 191(1), 159--172, 2010. [DOI: 10.1140/epjst/e2010-01348-2] [http://www.springerlink.c....1140/epjst/e2010-01348-2]
•	G. Wübbeler, P. M. Harris, M. G. Cox and C. Elster A two-stage procedure for determining the number of trials in the application of a Monte Carlo method for uncertainty evaluation. Metrologia, 47(3), 317--324, 2010. [DOI: 10.1088/0026-1394/47/3/023] [http://iopscience.iop.org...0.1088/0026-1394/47/3/023]
•	S. Eichstädt, A. Link and C. Elster Dynamic uncertainty for compensated second-order systems. Sensors, 10(8), 7621-31, 2010. [DOI: 10.3390/s100807621] [http://www.mdpi.com/1424-8220/10/8/7621/htm]
•	S. Eichstädt, A. Link, T. Bruns and C. Elster On-line dynamic error compensation of accelerometers by uncertainty-optimal filtering. Measurement, 43(5), 708-713, 2010. [DOI: 10.1016/j.measurement.2009.12.028] [http://www.sciencedirect....cle/pii/S0263224110000023]
•	S. Eichstädt, C. Elster, T. J. Esward and J. P. Hessling Deconvolution filters for the analysis of dynamic measurement processes: a tutorial. Metrologia, 47(5), 522-533, 2010. [DOI: 10.1088/0026-1394/47/5/003]
•	S. Alonso, J. Löber, M. Bär and H. Engel Wave propagation in heterogeneous bistable and excitable media. Eur. Phys. J. - Special Topics, 187(1), 31--40, 2010. [DOI: 10.1140/epjst/e2010-01268-1] [http://www.springerlink.c....1140/epjst/e2010-01268-1]
•	S. Alonso, H.-Y. Chen, M. Bär and A. S. Mikhailov Self-organization processes at active interfaces. The European Physical Journal Special Topics, 191(1), 131--145, 2010. [DOI: 10.1140/epjst/e2010-01346-4] [http://www.springerlink.c....1140/epjst/e2010-01346-4]
•	S. Alonso and M. Bär Phase separation and bistability in a three-dimensional model for protein domain formation at biomembranes. Phys. Biol., 7(4), 046012, 2010. [DOI: 10.1088/1478-3975/7/4/046012] [http://iopscience.iop.org...1088/1478-3975/7/4/046012]
•	H. Gross, J. Richter, A. Rathsfeld and M. Bär Investigations on a robust profile model for the reconstruction of 2D periodic absorber lines in scatterometry. J. Europ. Opt. Soc. Rap. Public., 5 10053, 2010. [DOI: 10.2971/jeos.2010.10053] [http://www.jeos.org/index...os\_rp/article/view/10053]
•	M.-A. Henn, C. Mehl and C. Trunk Hyponormal and strongly hyponormal matrices in inner product spaces. Linear Algebra and its Applications, 433(6), 1055--1076, 2010. [DOI: 10.1016/j.laa.2010.04.050] [http://www.sciencedirect....cle/pii/S0024379510002880]
•	C. Elster and B. Toman Analysis of key comparisons: estimating laboratories' biases by a fixed effects model using Bayesian model averaging. Metrologia, 47(3), 113--119, 2010. [DOI: 10.1088/0026-1394/47/3/001] [http://iopscience.iop.org...0.1088/0026-1394/47/3/001]
•	C. Elster, A. G. Chunovkina and W. Wöger Linking of a RMO key comparison to a related CIPM key comparison using the degrees of equivalence of the linking laboratories. Metrologia, 47(1), 96--102, 2010. [DOI: 10.1088/0026-1394/47/1/011] [http://iopscience.iop.org...0.1088/0026-1394/47/1/011]
•	F. Ginelli, F. Peruani, M. Bär and H. Chaté Large-scale collective properties of self-propelled rods. Phys. Rev. Lett., 104(18), 184502, 2010. [DOI: 10.1103/PhysRevLett.104.184502] [http://www.ncbi.nlm.nih.gov/pubmed/20482178]
2009
•	A. Link and C. Elster Uncertainty evaluation for IIR (infinite impulse response) filtering using a state-space approach. Measurement Science and Technology, 20(5), 055104, 2009. [DOI: 10.1088/0957-0233/20/5/055104]
•	A. Wiegmann, M. Schulz and C. Elster Suppression of aliasing in multi-sensor scanning absolute profile measurement. Optics Express, 17(13), 11098, 2009. [DOI: 10.1364/OE.17.011098] [http://www.osapublishing....8&seq=0&html=true]
•	G. Wübbeler, C. Elster, T. Reichel and R. Judaschke Determination of the Complex Residual Error Parameters of a Calibrated One-Port Vector Network Analyzer. IEEE Transactions on Instrumentation and Measurement, 58(9), 3238--3244, 2009. [DOI: 10.1109/TIM.2009.2017170] [http://ieeexplore.ieee.or...pper.htm?arnumber=5175350]
•	A. G. Chunovkina, C. Elster, I. Lira and W. Wöger Evaluating systematic differences between laboratories in interlaboratory comparisons. Measurement Techniques, 52(7), 788--793, 2009. [DOI: 10.1007/s11018-009-9340-1] [http://link.springer.com/10.1007/s11018-009-9340-1]
•	H. Gross, A. Rathsfeld, F. Scholze and M. Bär Profile reconstruction in extreme ultraviolet (EUV) scatterometry: modeling and uncertainty estimates. Measurement Science and Technology, 20(10), 105102, 2009. [DOI: 10.1088/0957-0233/20/10/105102] [http://iopscience.iop.org...88/0957-0233/20/10/105102]
•	C. Elster and B. Toman Bayesian uncertainty analysis under prior ignorance of the measurand versus analysis using the Supplement 1 to the Guide : a comparison. Metrologia, 46(3), 261--266, 2009. [DOI: 10.1088/0026-1394/46/3/013] [http://iopscience.iop.org...0.1088/0026-1394/46/3/013]
•	I. Lira, C. Elster, W. Wöger and M. G. Cox Derivation of an output PDF from Bayes theorem and the principle of maximum entropy. In F. Pavese, M. Bär, J.M. Limares, C. Perruchet, N.F. Zhang, editor, Volume Advanced Mathematical & Computational Tools in Metrology VIII of Series on Advances in Mathematics for Applied Sciences Chapter 31, page 213 Publisher: World Scientific New Jersey, 78 edition 2009.
•	G. Wübbeler, A. Link, T. Bruns and C. Elster Impact of correlation in the measured frequency response on the results of a dynamic calibration. In F. Pavese, M. Bär, J.M. Limares, C. Perruchet, N.F. Zhang, editor, Volume Advanced Mathematical & Computational Tools in Metrology VIII of Series on Advances in Mathematics for Applied Sciences Chapter 52, page 369-374 Publisher: World Scientific New Jersey, 78 edition 2009.
•	C. Elster and A. Link Analysis of dynamic measurements: compensation of dynamic error and evaluation of uncertainty. In F. Pavese, M. Bär, J.M. Limares, C. Perruchet, N.F. Zhang, editor, Volume Advanced Mathematical & Computational Tools in Metrology VIII of Series on Advances in Mathematics for Applied Sciences Chapter 13, page 80-89 Publisher: World Scientific New Jersey, 78 edition 2009.
•	A. Wiegmann Multiple Sensorsysteme zur Topographiebestimmung optischer Oberflächen. PhD Thesis 2009.
2008
•	T. Niedermayer, B. Eckhardt and P. Lenz Synchronization, phase locking, and metachronal wave formation in ciliary chains. Chaos, 18 2008. [DOI: 10.1063/1.2956984]
•	R. Model, A. Rathsfeld, H. Gross, M. Wurm and B. Bodermann A scatterometry inverse problem in optical mask metrology. Journal of Physics: Conference Series, 135(1), 012071, 2008. [DOI: 10.1088/1742-6596/135/1/012071] [http://iopscience.iop.org...88/1742-6596/135/1/012071]
•	S. Knappe-Grueneberg, A. Schnabel, G. Wübbeler and M. Burghoff Influence of demagnetization coil configuration on residual field in an extremely magnetically shielded room: Model and measurements. Journal of Applied Physics, 103(7), 07E925, 2008. [DOI: 10.1063/1.2837876] [http://scitation.aip.org/...p/103/7/10.1063/1.2837876]
•	A. Wiegmann, M. Schulz and C. Elster Absolute profile measurement of large moderately flat optical surfaces with high dynamic range. Optics Express, 16(16), 11975, 2008. [DOI: 10.1364/OE.16.011975] [http://www.osapublishing....5&seq=0&html=true]
•	M. Schulz, A. Wiegmann, A. Marquez and C. Elster Optical flatness metrology: 40 years of progress. Opt. Pura Apl, 41 325, 2008. [DOI: 10.2971/jeos.2010.10011] (Open Access)
•	I. Romero, H. Koch, E. Fleck and C. Kriatselis Study of surface electrocardiogram spectrum before and after pulmonary vein ablation in patients with persistent atrial fibrillation. Journal of electrocardiology, 41(6), 553--6, 2008. [DOI: 10.1016/j.jelectrocard.2008.06.018] [http://www.ncbi.nlm.nih.gov/pubmed/18817922]
•	G. Wübbeler, M. Krystek and C. Elster Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method. Measurement Science and Technology, 19(8), 084009, 2008. [DOI: 10.1088/0957-0233/19/8/084009] [http://iopscience.iop.org...088/0957-0233/19/8/084009]
•	A. G. Chunovkina, C. Elster, I. Lira and W. Wöger Analysis of key comparison data and laboratory biases. Metrologia, 45(2), 211--216, 2008. [DOI: 10.1088/0026-1394/45/2/010] [http://iopscience.iop.org...0.1088/0026-1394/45/2/010]
•	H. Groß and A. Rathsfeld Sensitivity analysis for indirect measurement in scatterometry and the reconstruction of periodic grating structures. Waves in Random and Complex Media, 18(1), 129--149, 2008. [DOI: 10.1080/17455030701481823] [http://www.tandfonline.co...10.1080/17455030701481823]
•	C. Elster and A. Link Uncertainty evaluation for dynamic measurements modelled by a linear time-invariant system. Metrologia, 45(4), 464-473, 2008. [DOI: 10.1088/0026-1394/45/4/013]
2007
•	I. Lira, C. Elster and W. Wöger Probabilistic and least-squares inference of the parameters of a straight-line model. Metrologia, 44(5), 379--384, 2007. [DOI: 10.1088/0026-1394/44/5/014] [http://iopscience.iop.org...0.1088/0026-1394/44/5/014]
•	A. Link, A. Täubner, W. Wabinski, T. Bruns and C. Elster Modelling accelerometers for transient signals using calibration measurements upon sinusoidal excitation. Measurement, 40(9-10), 928-935, 2007. [DOI: 10.1016/j.measurement.2006.10.011]
•	A. Link, M. Burghoff, A. Salajegheh, D. Poeppel, L. Trahms and C. Elster Comparing a template approach and complex bandpass filtering for single-trial analysis of auditory evoked M100. Biomedizinische Technik. Biomedical engineering, 52(1), 106--10, 2007. [DOI: 10.1515/BMT.2007.020] [http://www.ncbi.nlm.nih.gov/pubmed/17313344]
•	F. Seifert, G. Wübbeler, S. Junge, B. Ittermann and H. Rinneberg Patient safety concept for multichannel transmit coils. Journal of magnetic resonance imaging : JMRI, 26(5), 1315--21, 2007. [DOI: 10.1002/jmri.21149] [http://www.ncbi.nlm.nih.gov/pubmed/17969165]
•	G. Wübbeler, M. Stavridis, D. Kreiseler, R.-D. Bousseljot and C. Elster Verification of humans using the electrocardiogram. Pattern Recognition Letters, 28(10), 1172--1175, 2007. [DOI: 10.1016/j.patrec.2007.01.014] [http://www.sciencedirect....cle/pii/S0167865507000463]
•	G. Wübbeler, A. Link, M. Burghoff, L. Trahms and C. Elster Latency analysis of single auditory evoked M100 responses by spatio-temporal filtering. Physics in medicine and biology, 52(15), 4383--92, 2007. [DOI: 10.1088/0031-9155/52/15/002] [http://www.ncbi.nlm.nih.gov/pubmed/17634639]
•	S. Bauer, G. Röder and M. Bär Alternans and the influence of ionic channel modifications: Cardiac three-dimensional simulations and one-dimensional numerical bifurcation analysis. Chaos (Woodbury, N.Y.), 17(1), 015104, 2007. [DOI: 10.1063/1.2715668] [http://www.ncbi.nlm.nih.gov/pubmed/17411261]
•	W. Haberkorn and M. Burghoff Analytical study of the magnetic field from extended sources in subcortical structures. 2007. [http://www.researchgate.n...d\_sources\_in\_subcortic]
•	C. Elster, W. Wöger and M. G. Cox Draft GUM Supplement 1 and Bayesian analysis. Metrologia, 44(3), L31--L32, 2007. [DOI: 10.1088/0026-1394/44/3/N03] [http://iopscience.iop.org...0.1088/0026-1394/44/3/N03]
•	C. Elster, A. Link and T. Bruns Analysis of dynamic measurements and determination of time-dependent measurement uncertainty using a second-order model. Measurement Science and Technology, 18(12), 3682-3687, 2007. [DOI: 10.1088/0957-0233/18/12/002]
•	C. Elster Calculation of uncertainty in the presence of prior knowledge. Metrologia, 44(2), 111--116, 2007. [DOI: 10.1088/0026-1394/44/2/002] [http://iopscience.iop.org...0.1088/0026-1394/44/2/002]
2006
•	R. Model, R. Stosch and U. Hammerschmidt Improved transient hot strip sensor design by means of FEM simulations. THERMAL CONDUCTIVITY, 28 298--308, 2006.
•	E. M. Nicola, M. Bär and H. Engel Wave instability induced by nonlocal spatial coupling in a model of the light-sensitive Belousov-Zhabotinsky reaction. Physical review. E, Statistical, nonlinear, and soft matter physics, 73(6 Pt 2), 066225, 2006. [DOI: 10.1103/PhysRevE.73.066225] [http://www.ncbi.nlm.nih.gov/pubmed/16906964]
•	F. Peruani, A. Deutsch and M. Bär Nonequilibrium clustering of self-propelled rods. Physical Review E, 74(3), 030904, 2006. [DOI: 10.1103/PhysRevE.74.030904] [http://link.aps.org/doi/10.1103/PhysRevE.74.030904]
•	H.-J. von Martens, C. Elster, A. Link, A. Täubner and T. Bruns Final report on the key comparison EUROMET.AUV.V-K1. Metrologia, 43(1A), 09002-09002, 2006. [DOI: 10.1088/0026-1394/43/1A/09002]
•	A. Link, A. Täubner, W. Wabinski, T. Bruns and C. Elster Calibration of accelerometers: determination of amplitude and phase response upon shock excitation. Measurement Science and Technology, 17(7), 1888-1894, 2006. [DOI: 10.1088/0957-0233/17/7/030]
•	A. Link, M. Kobusch, T. Bruns and C. Elster Modellierung von Kraft- und Beschleunigungsaufnehmern für die Stoßkalibrierung (Modelling Force and Acceleration Transducers for Shock Calibrations). tm - Technisches Messen, 73(12), 675-683, 2006. [DOI: 10.1524/teme.2006.73.12.675]
•	S. Leistner, G. Wübbeler, L. Trahms, G. Curio and B. M. Mackert Tonic neuronal activation during simple and complex finger movements analyzed by DC-magnetoencephalography. Neuroscience letters, 394(1), 42--7, 2006. [DOI: 10.1016/j.neulet.2005.10.004] [http://www.sciencedirect....cle/pii/S0304394005011523]
•	H. Wei, G. Lilienkamp, J. Davidsen, M. Bär and R. Imbihl Nucleation of spiral wave patterns at surface defects. Physical review. E, Statistical, nonlinear, and soft matter physics, 73(1 Pt 2), 016210, 2006. [DOI: 10.1103/PhysRevE.73.016210] [http://www.ncbi.nlm.nih.gov/pubmed/16486261]
•	M. Schulz and C. Elster Traceable multiple sensor system for measuring curved surface profiles with high accuracy and high lateral resolution. Optical Engineering, 45(6), 2006. [DOI: 10.1117/1.2208568]
•	U. Börner, A. Deutsch and M. Bär A generalized discrete model linking rippling pattern formation and individual cell reversal statistics in colonies of myxobacteria. Physical biology, 3(2), 138--46, 2006. [DOI: 10.1088/1478-3975/3/2/006] [http://www.ncbi.nlm.nih.gov/pubmed/16829700]
•	W. Haberkorn, U. Steinhoff, M. Burghoff, O. Kosch, A. Morguet and H. Koch Pseudo current density maps of electrophysiological heart, nerve or brain function and their physical basis. Biomagnetic research and technology, 4(1), 5, 2006. [DOI: 10.1186/1477-044X-4-5] [http://www.biomagres.com/content/4/1/5]
•	U. Hammerschmidt, V. Meier and R. Model JANUS: High Temperature Transient Hot Bridge Sensor. THERMAL CONDUCTIVITY, 28 288--297, 2006.
•	H. Groß, R. Model, M. Bär, M. Wurm, B. Bodermann and A. Rathsfeld Mathematical modelling of indirect measurements in scatterometry. Measurement, 39(9), 782--794, 2006. [DOI: 10.1016/j.measurement.2006.04.009] [http://www.researchgate.n...ements\_in\_scatterometry]
•	C. Elster, I. Weingärtner and M. Schulz Coupled distance sensor systems for high-accuracy topography measurement: Accounting for scanning stage and systematic sensor errors. Precision Engineering, 30(1), 32--38, 2006. [DOI: 10.1016/j.precisioneng.2005.04.001] [http://www.sciencedirect....cle/pii/S0141635905000504]
•	R. D. Geckeler, A. Fricke and C. Elster Calibration of angle encoders using transfer functions. Measurement Science and Technology, 17(10), 2811--2818, 2006. [DOI: 10.1088/0957-0233/17/10/036] [http://www.researchgate.n...sing\_transfer\_functions]
2005
•	R. Model and U. Hammerschmidt An identification procedure for thermal transport properties of layered solids by means of transient measurements. Thermal Conductivity 26/Thermal Expansion 14, 346--357, 2005.
•	R. Model Thermal Transport Properties of Layered Materials: Identification by a New Numerical Algorithm for Transient Measurements. International Journal of Thermophysics, 26(1), 165--178, 2005. [DOI: 10.1007/s10765-005-2363-1] [http://www.researchgate.n...ion\_by\_a\_New\_</prt]
•	R. A. Nicolaus and C. Elster Diameter Determination of Avogadro Spheres #1 and #2. IEEE Transactions on Instrumentation and Measurement, 54(2), 872--876, 2005. [DOI: 10.1109/TIM.2005.843527] [http://ieeexplore.ieee.or...ails.jsp?arnumber=1408309]
•	H.-J. von Martens, W. Wabinski, A. Link, H.-J. Schlaak, A. Täubner and U. Göbel Fortschritte bei Schwingungs- und Stoßkalibrierung mittels Laserinterferometrie. Technisches Messen, 72 141-152, 2005. [DOI: 10.1524/teme.72.3.141.60281]
•	A. Link, W. Wabinski and H.-J. von Martens Identifikation von Beschleunigungsaufnehmern mit hochintensiven Stößen. tm - Technisches Messen, 72(3-2005), 153-160, 2005. [DOI: 10.1524/teme.72.3.153.60277]
•	K. John, M. Bär and U. Thiele Self-propelled running droplets on solid substrates driven by chemical reactions. Eur. Phys. J. E, Soft matter, 18(2), 183--99, 2005. [DOI: 10.1140/epje/i2005-10039-1] [http://www.researchgate.n...\_by\_chemical\_reactions]
•	L. Schmitz and M. Burghoff Magnetocardiography in a fetus with Long-QT syndrome. Circulation, 112 e68--e69, 2005. [DOI: 10.1161/CIRCULATIONAHA.104.494104]
•	R. Bousseljot and D. Kreiseler Telemetric ECG evaluation using Einthoven-Leads. Comput. Cardiol., 57--60, 2005. [DOI: 10.1109/CIC.2005.1588032] [http://ieeexplore.ieee.or...ails.jsp?arnumber=1588032]
•	M. Burghoff, A. Link, A. Salajegheh, C. Elster, D. Poeppel and L. Trahms A template-free approach for determining the latency of single events of auditory evoked M100. Physics in medicine and biology, 50(3), N43--8, 2005. [DOI: 10.1088/0031-9155/50/3/N04] [http://www.ncbi.nlm.nih.gov/pubmed/15773733]
•	M. Burghoff, B. M. Mackert and W. Haberkorn Visualization of action currents propagation in peripheral nerves from the biomagnetic field. Biomed. Tech., 50(1), 179--180, 2005.
•	K. John and M. Bär Travelling lipid domains in a dynamic model for protein-induced pattern formation in biomembranes. Physical biology, 2(2), 123--32, 2005. [DOI: 10.1088/1478-3975/2/2/005] [http://www.ncbi.nlm.nih.gov/pubmed/16204864]
•	K. John and M. Bär Alternative mechanisms of structuring biomembranes: self-assembly versus self-organization. Physical review letters, 95(19), 198101, 2005. [DOI: 10.1103/PhysRevLett.95.198101] [http://www.ncbi.nlm.nih.gov/pubmed/16384028]
•	C. Elster, F. Schubert, A. Link, M. Walzel, F. Seifert and H. Rinneberg Quantitative magnetic resonance spectroscopy: semi-parametric modeling and determination of uncertainties. Magnetic resonance in medicine, 53(6), 1288--96, 2005. [DOI: 10.1002/mrm.20500] [http://www.ncbi.nlm.nih.gov/pubmed/15906296]
•	C. Elster, W. Wöger and M. G. Cox Analysis of Key Comparison Data: Unstable Travelling Standards. Measurement Techniques, 48(9), 883--893, 2005. [DOI: 10.1007/s11018-005-0239-1] [http://link.springer.com/10.1007/s11018-005-0239-1]
•	E. Gargioni and R. Model A simple method for measuring thoron spatial distributions. Radiation protection dosimetry, 113(3), 321--5, 2005. [DOI: 10.1093/rpd/nch467] [http://rpd.oxfordjournals.org/content/113/3/321]

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