Pattern Recognition: 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19-22, 2023, Proceedings von Kothe, Ullrich, Rother, Carsten

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Inference of cosmic-ray source properties by conditional invertible neural networks von Bister, Teresa, Erdmann, Martin, Köthe, Ullrich, Schulte, Josina

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OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany von Radev, Stefan T, Graw, Frederik, Chen, Simiao, Mutters, Nico T, Eichel, Vanessa M, Bärnighausen, Till, Köthe, Ullrich

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Invertible networks or partons to detector and back again von Bellagente, Marco, Butter, Anja, Kasieczka, Gregor, Plehn, Tilman, Rousselot, Armand, Winterhalder, Ramon, Ardizzone, Lynton, Köthe, Ullrich

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Neural superstatistics for Bayesian estimation of dynamic cognitive models von Schumacher, Lukas, Bürkner, Paul-Christian, Voss, Andreas, Köthe, Ullrich, Radev, Stefan T.

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Amortized Bayesian Model Comparison With Evidential Deep Learning von Radev, Stefan T., D'Alessandro, Marco, Mertens, Ulf K., Voss, Andreas, Kothe, Ullrich, Burkner, Paul-Christian

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Measuring QCD Splittings with Invertible Networks von Bieringer, Sebastian, Butter, Anja, Heimel, Theo, Höche, Stefan, Köthe, Ullrich, Plehn, Tilman, Radev, Stefan T.

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Towards learned emulation of interannual water isotopologue variations in General Circulation Models von Wider, Jonathan, Kruse, Jakob, Weitzel, Nils, Bühler, Janica C., Köthe, Ullrich, Rehfeld, Kira

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SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy von Köthe, Ullrich, Herrmannsdörfer, Frank, Kats, Ilia, Hamprecht, Fred A.

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Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images von Hanselmann, Michael, Röder, Jens, Köthe, Ullrich, Renard, Bernhard Y, Heeren, Ron M. A, Hamprecht, Fred A

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SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists von VOSS, Bjorn, HANSELMANNT, Michael, RENARD, Bernhard Y, LINDNER, Martin S, KÖTHE, Ullrich, KIRCHNER, Marc, HAMPRECHT, Fred A

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Toward Digital Staining using Imaging Mass Spectrometry and Random Forests von Hanselmann, Michael, Köthe, Ullrich, Kirchner, Marc, Renard, Bernhard Y, Amstalden, Erika R, Glunde, Kristine, Heeren, Ron M. A, Hamprecht, Fred A

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Pattern Recognition: 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19–22, 2023, Proceedings

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Long short‐term memory networks for proton dose calculation in highly heterogeneous tissues von Neishabouri, Ahmad, Wahl, Niklas, Mairani, Andrea, Köthe, Ullrich, Bangert, Mark

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Computational protein profile similarity screening for quantitative mass spectrometry experiments von Kirchner, Marc, Renard, Bernhard Y., Köthe, Ullrich, Pappin, Darryl J., Hamprecht, Fred A., Steen, Hanno, Steen, Judith A. J.

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Applications of Discrete Geometry and Mathematical Morphology: First International Workshop, WADGMM 2010, Istanbul, Turkey, August 22, 2010, Revised Selected Papers

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Applications of Discrete Geometry and Mathematical Morphology: First International Workshop, WADGMM 2010, Istanbul, Turkey, August 22, 2010, Revised Selected Papers von Köthe, Ullrich, Montanvert, Annick, Soille, Pierre

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Towards end‐to‐end likelihood‐free inference with convolutional neural networks von Radev, Stefan T., Mertens, Ulf K., Voss, Andreas, Köthe, Ullrich

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OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany von Stefan T Radev, Frederik Graw, Simiao Chen, Nico T Mutters, Vanessa M Eichel, Till Bärnighausen, Ullrich Köthe

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Data Resource Profile: The Global School-based Student Health Survey—behavioural risk and protective factors among adolescents von Bischops, Anne C, Radev, Stefan T, Köthe, Ullrich, Chen, Simiao, Geldsetzer, Pascal, Sarker, Malabika, Su, Tin Tin, Mohamed, Fawzia Ahmed, Darwish, Noorali, Ahmad, Noor Ani, Ould Baba, Sidi Ahmed, Bärnighausen, Till, Barteit, Sandra

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