General Multi-Fidelity Framework for Training Artificial Neural Networks With Computational Models von Aydin, Roland Can, Braeu, Fabian Albert, Cyron, Christian Johannes

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Accelerating the distance-minimizing method for data-driven elasticity with adaptive hyperparameters von Nguyen, Lu Trong Khiem, Aydin, Roland Can, Cyron, Christian Johannes

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Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning von Linka, Kevin, Hillgärtner, Markus, Abdolazizi, Kian P., Aydin, Roland C., Itskov, Mikhail, Cyron, Christian J.

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A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics von Bock, Frederic E., Aydin, Roland C., Cyron, Christian J., Huber, Norbert, Kalidindi, Surya R., Klusemann, Benjamin

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Neural network surgery: Combining training with topology optimization von Schiessler, Elisabeth J., Aydin, Roland C., Linka, Kevin, Cyron, Christian J.

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Mechanics of the stomach: A review of an emerging field of biomechanics von Brandstaeter, Sebastian, Fuchs, Sebastian L., Aydin, Roland C., Cyron, Christian J.

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Mechanical homeostasis in tissue equivalents: a review von Eichinger, Jonas F., Haeusel, Lea J., Paukner, Daniel, Aydin, Roland C., Humphrey, Jay D., Cyron, Christian J.

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Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials von Sardhara, Trushal, Shkurmanov, Alexander, Li, Yong, Shi, Shan, Cyron, Christian J., Aydin, Roland C., Ritter, Martin

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A computational framework for modeling cell–matrix interactions in soft biological tissues von Eichinger, Jonas F., Grill, Maximilian J., Kermani, Iman Davoodi, Aydin, Roland C., Wall, Wolfgang A., Humphrey, Jay D., Cyron, Christian J.

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Hematopoietic Stem Cell Transplantation as Treatment for Patients with DOCK8 Deficiency von Aydin, Susanne E., Freeman, Alexandra F., Al-Herz, Waleed, Al-Mousa, Hamoud A., Arnaout, Rand K., Aydin, Roland C., Barlogis, Vincent, Belohradsky, Bernd H., Bonfim, Carmem, Bredius, Robbert G., Chu, Julia I., Ciocarlie, Oana C., Doğu, Figen, Gaspar, Hubert B., Geha, Raif S., Gennery, Andrew R., Hauck, Fabian, Hawwari, Abbas, Hickstein, Dennis D., Hoenig, Manfred, Ikinciogullari, Aydan, Klein, Christoph, Kumar, Ashish, Ifversen, Marianne R.S., Matthes, Susanne, Metin, Ayse, Neven, Benedicte, Pai, Sung-Yun, Parikh, Suhag H., Picard, Capucine, Renner, Ellen D., Sanal, Özden, Schulz, Ansgar S., Schuster, Friedhelm, Shah, Nirali N., Shereck, Evan B., Slatter, Mary A., Su, Helen C., van Montfrans, Joris, Woessmann, Wilhelm, Ziegler, John B., Albert, Michael H.

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Antigen recognition detains CD8+ T cells at the blood-brain barrier and contributes to its breakdown von Aydin, Sidar, Pareja, Javier, Schallenberg, Vivianne M., Klopstein, Armelle, Gruber, Thomas, Page, Nicolas, Bouillet, Elisa, Blanchard, Nicolas, Liblau, Roland, Körbelin, Jakob, Schwaninger, Markus, Johnson, Aaron J., Schenk, Mirjam, Deutsch, Urban, Merkler, Doron, Engelhardt, Britta

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What do cells regulate in soft tissues on short time scales? von Eichinger, Jonas F., Paukner, Daniel, Aydin, Roland C., Wall, Wolfgang A., Humphrey, Jay D., Cyron, Christian J.

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Gene regulatory network analysis identifies MYL1, MDH2, GLS, and TRIM28 as the principal proteins in the response of mesenchymal stem cells to Mg2+ ions von Nourisa, Jalil, Passemiers, Antoine, Shakeri, Farhad, Omidi, Maryam, Helmholz, Heike, Raimondi, Daniele, Moreau, Yves, Tomforde, Sven, Schlüter, Hartmuth, Luthringer-Feyerabend, Bérengère, Cyron, Christian J., Aydin, Roland C., Willumeit-Römer, Regine, Zeller-Plumhoff, Berit

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Unraveling the functional dark matter through global metagenomics von Pavlopoulos, Georgios A., Baltoumas, Fotis A., Liu, Sirui, Selvitopi, Oguz, Camargo, Antonio Pedro, Nayfach, Stephen, Azad, Ariful, Roux, Simon, Call, Lee, Ivanova, Natalia N., Chen, I. Min, Paez-Espino, David, Karatzas, Evangelos, Iliopoulos, Ioannis, Konstantinidis, Konstantinos, Tiedje, James M., Pett-Ridge, Jennifer, Baker, David, Visel, Axel, Ouzounis, Christos A., Ovchinnikov, Sergey, Buluç, Aydin, Kyrpides, Nikos C.

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Improving segmentation of FIB tomography data von Ritter, Martin, Sardhara, Trushal, Aydin, Roland, Cyron, Christian

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Cross-reactive CD4+ T cells enhance SARS-CoV-2 immune responses upon infection and vaccination von Loyal, Lucie, Braun, Julian, Henze, Larissa, Kruse, Beate, Dingeldey, Manuela, Reimer, Ulf, Kern, Florian, Schwarz, Tatjana, Mangold, Maike, Unger, Clara, Dorfler, Friederike, Kadler, Shirin, Rosowski, Jennifer, Gurcan, Kubrah, Uyar-Aydin, Zehra, Frentsch, Marco, Kurth, Florian, Schnatbaum, Karsten, Eckey, Maren, Hippenstiel, Stefan, Hocke, Andreas, Muller, Marcel A., Sawitzki, Birgit, Miltenyi, Stefan, Paul, Friedemann, Mall, Marcus A., Wenschuh, Holger, Voigt, Sebastian, Drosten, Christian, Lauster, Roland, Lachman, Nils, Sander, Leif-Erik, Corman, Victor M., Rohmel, Jobst, Meyer-Arndt, Lil, Thiel, Andreas, Giesecke-Thiel, Claudia

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The accuracy of laser flash analysis explored by finite element method and numerical fitting von Philipp, Alexandra, Eichinger, Jonas F., Aydin, Roland C., Georgiadis, Argyrios, Cyron, Christian J., Retsch, Markus

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Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models von Schiessler, Elisabeth J., Würger, Tim, Lamaka, Sviatlana V., Meißner, Robert H., Cyron, Christian J., Zheludkevich, Mikhail L., Feiler, Christian, Aydin, Roland C.

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The Evolution of Radiation Dose over Time: Measurement of a Patient Cohort undergoing Whole-Body Examinations on three Computer Tomography Generations von Marcus, Roy P, Koerner, Elise, Aydin, Roland C, Zinsser, Dominik, Finke, Tobias, Cyron, Christian J, Bamberg, Fabian, Nikolaou, Konstantin, Notohamiprodjo, Mike

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Global Sensitivity Analysis of a Homogenized Constrained Mixture Model of Arterial Growth and Remodeling von Brandstaeter, Sebastian, Fuchs, Sebastian L., Biehler, Jonas, Aydin, Roland C., Wall, Wolfgang A., Cyron, Christian J.

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