Dr. Peter Eggenberger Hotz

Projekte

• Next Generation 3D Tissue Models: Bio-Hybrid Hierarchical Organoid-Synthetic Tissues (Bio-HhOST) – Comprised of Live and Artificial Cells / Teammitglied / laufend
• Neurological ICU Data / Teammitglied / abgeschlossen
• DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes / Teammitglied / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Zellner, M. et al. (2024) 'Low-dose lung CT : optimizing diagnostic radiation dose – a phantom study', European Journal of Radiology Open, 13(100614). doi: 10.1016/j.ejro.2024.100614.
• Amirian, M. et al. (2023) 'Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks', Medical Physics, 50(10), pp. 6228–6242. doi: 10.1002/mp.16405.

Schriftliche Konferenzbeiträge, peer-reviewed

• Matuttis, H.-G. et al. (2023) 'Computational investigation of the clustering of droplets in widening pipe geometries', in De Stefano, C., Fontanella, F., and Vanneschi, L. (eds) Artificial Life and Evolutionary Computation. Cham: Springer, pp. 82–93. doi: 10.1007/978-3-031-31183-3_7.
• Schneider, J. J. et al. (2023) 'Network creation during agglomeration processes of polydisperse and monodisperse systems of droplets', in De Stefano, C., Fontanella, F., and Vanneschi, L. (eds) Artificial Life and Evolutionary Computation. Cham: Springer, pp. 94–106. doi: 10.1007/978-3-031-31183-3_8.
• Schneider, J. J. et al. (2023) 'Artificial chemistry performed in an agglomeration of droplets with restricted molecule transfer', in De Stefano, C., Fontanella, F., and Vanneschi, L. (eds) Artificial Life and Evolutionary Computation. Cham: Springer, pp. 107–118. doi: 10.1007/978-3-031-31183-3_9.
• Schneider, J. J. et al. (2023) 'Geometric restrictions to the agglomeration of spherical particles', in Artificial Life and Evolutionary Computation. Cham: Springer. doi: 10.1007/978-3-031-23929-8_7.
• Schneider, J. J. et al. (2023) 'Obstacles on the pathway towards chemical programmability using agglomerations of droplets', in Artificial Life and Evolutionary Computation. Cham: Springer. doi: 10.1007/978-3-031-23929-8_4.
• Hotz, P. E. et al. (2022) 'Simulations of vesicular disentanglement', in Holler, S., Löffler, R., and Bartlett, S. (eds) ALIFE 2022: The 2022 Conference on Artificial Life. Cambridge: MIT Press, p. 25. doi: 10.1162/isal_a_00505.
• Herzig, I. et al. (2022) 'Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCT', in Medical Physics. American Association of Physicists in Medicine, pp. e325–e326. doi: 10.1002/mp.15769.
• Schneider, J. J. et al. (2021) 'Influence of the geometry on the agglomeration of a polydisperse binary system of spherical particles', in ALIFE 2021: The 2021 Conference on Artificial Life. Cambridge: MIT Press, p. 71. doi: 10.1162/isal_a_00392.

Weitere Publikationen

• Füchslin, R. et al. (2025) 'Life at the edge of chaos', ANG Fokus, 2025, pp. 36–41. Available at: https://ang.ch/de/publikationen/uuid/i/ad4024db-d71e-5ad1-aa29-258d2f991872-ANG_Fokus_2025.
• Schneider, J. J. et al. (2022) 'Paths in a network of polydisperse spherical droplets', in ALIFE 2022: The 2022 Conference on Artificial Life. Cambridge: MIT Press, p. 23. doi: 10.1162/isal_a_00502.

Mündliche Konferenzbeiträge und Abstracts

• Schneider, J. J. et al. (2023) 'Bidisperse extension of the kissing number problem', in 28th International Conference on Statistical Physics (Statphys28), Tokyo, Japan, 7-11 August 2023.
• Schneider, J. J. et al. (2021) 'Influence of the geometry on the agglomeration of a polydisperse binary system of spherical particles', in International Conference on Artificial Life (ALIFE), online, 19-23 July 2021. Available at: https://www.youtube.com/watch?v=2uSgimAHU4I.

Forschungsdaten

Eggenberger Hotz, Peter; Luchsinger, Rolf H.; Weyland, Mathias; Jamieson, W. David; Castell, Oliver; Füchslin, Rudolf M., 2026. Code for: Emergent predictability from parameter ambiguity in biochemical networks. Zenodo. Verfügbar unter: https://doi.org/10.5281/zenodo.19485525

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