Personal
Maximilian Eggl
Investigador emergente
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Biomarcadores de Imaging Traslacional
https://in.umh-csic.es/grupo3874
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→ Línea emergente: Biomarcadores de la estructura y función cerebral inspirados en IA
https://in.umh-csic.es/grupo88927
- Simulation-based inference at the theoretical limit for fast, robust microstructural MRI with minimal diffusion data. Maximilian F. Eggl & Silvia De Santis Commun Med. 2026 6, art. 275 https://doi.org/10.1038/s43856-026-01614-6
- A framework for the emergence and analysis of language in social learning agents. TJ Wieczorek, T Tchumatchenko, C Wert-Carvajal, MF Eggl. Nature Communications. 2024 15 (1), 7590
- Competitive processes shape multi-synapse plasticity along dendritic segments. TE Chater, MF Eggl, Y Goda, T Tchumatchenko. Nature Communications. 2024 15 (1), 7572
- More with less: Simulation-based inference enables accurate diffusion-weighted MRI with minimal acquisition time. MF Eggl, S De Santis. bioRxiv. 2024 2024.11. 11.622925 https://doi.org/10.1101/2024.11.11.622925
- Optimal Agnostic Control of Unknown Linear Dynamics in a Bounded Parameter Range. J Carruth, MF Eggl, C Fefferman, CW Rowley. arXiv. 2024 prepint; arXiv:2309.10138
- Linking spontaneous and stimulated spine dynamics. MF Eggl, TE Chater, J Petkovic, Y Goda, T Tchumatchenko. Commun Biol. 2023 6(1): 930 https://doi.org/10.1038/s42003-023-05303-1
- Linking spontaneous and stimulated spine dynamics. MF Eggl, TE Chater, J Petkovic, Y Goda, T Tchumatchenko Communications Biology 2023 6 (1), 930
- A parallel-in-time approach for accelerating direct-adjoint studies. CS Skene, MF Eggl, PJ Schmid. Journal of Computational Physics. 2021 429, 110033
- A gradient-based framework for maximizing mixing in binary fluids. MF Eggl, PJ Schmid Journal of Computational Physics. 2020 368, 131-153
- Mixing enhancement in binary fluids using optimised stirring strategies. MF Eggl, PJ Schmid. Journal of Fluid Mechanics. 2020 899, A24
Maximilian Eggl