Molloy, E.; Mueller, K.; Beinhölzl, N.; Blöchl, M.; Piecha, F. A.; Pampel, A.; Steele, C.; Scharrer, U.; Zheleva, G.; Regenthal, R. et al.; Sehm, B.; Nikulin, V. V.; Möller, H. E.; Villringer, A.; Sacher, J.: Modulation of premotor cortex response to sequence motor learning during escitalopram intake. Journal of Cerebral Blood Flow and Metabolism 41 (6), pp. 1449 - 1462 (2021)

Lewis, C. A.; Mueller, K.; Zsido, R.; Reinelt, J.; Regenthal, R.; Okon-Singer, H.; Forbes, E. E.; Villringer, A.; Sacher, J.: A single dose of escitalopram blunts the neural response in the thalamus and caudate during monetary loss. Journal of Psychiatry & Neuroscience 46 (3), pp. E319 - E327 (2021)

Bezdicek, O.; Ballarini, T.; Albrecht, F.; Libon, D. J.; Lamar, M.; Růžička, F.; Roth, J.; Hurlstone, M. J.; Mueller, K.; Schroeter, M. L. et al.; Jech, R.: SERIAL-ORDER recall in working memory across the cognitive spectrum of Parkinson's disease and neuroimaging correlates. Journal of Neuropsychology 15 (1), pp. 88 - 111 (2021)

Polyakova, M.; Beyer, F.; Mueller, K.; Sander, C.; Witte, A. V.; Lampe, L.; Rodrigues, F.; Riedel-Heller, S.; Kratzsch, J.; Hoffmann, K. T. et al.; Villringer, A.; Schoenknecht, P.; Schroeter, M. L.: Serum BDNF levels correlate with regional cortical thickness in minor depression: A pilot study. Scientific Reports 10, 14524 (2020)

Mueller, K.; Thiel, F.; Beutner, F.; Teren, A.; Frisch, S.; Ballarini, T.; Möller, H. E.; Ihle, K.; Thiery, J.; Schuler, G. et al.; Villringer, A.; Schroeter, M. L.: Brain damage with heart failure: Cardiac biomarker alterations and gray matter decline. Circulation Research 126 (6), pp. 750 - 764 (2020)

Hidalgo-Lopez, E.; Mueller, K.; Harris, T.; Aichhorn, M.; Sacher, J.; Pletzer, B.: Human menstrual cycle variation in subcortical functional brain connectivity: A multimodal analysis approach. Brain Structure & Function 225, pp. 591 - 605 (2020)

Mueller, K.; Urgosik, D.; Ballarini, T.; Holiga, Š.; Möller, H. E.; Růžička, F.; Roth , J.; Vymazal, J.; Schroeter, M. L.; Růžička, E. et al.; Jech, R.: Differential effects of deep brain stimulation and levodopa treatment on brain activity change in Parkinson’s disease. Brain Communications 2 (1), fcaa005 (2020)

Ballarini, T.; Albrecht, F.; Mueller, K.; Jech , R.; Diehl-Schmid, J.; Fliessbach, K.; Kassubek, J.; Lauer, M.; Fassbender, K.; Schneider, A. et al.; Synofzik, M.; Wiltfang, J.; FTLD Consortium; Otto, M.; Schroeter, M. L.: Disentangling brain functional network remodeling in corticobasal syndrome: A multimodal MRI study. NeuroImage: Clinical 25, 102112 (2020)

Jech, R.; Mueller, K.: Investigating network effects of DBS with fMRI. In: Connectomic Deep Brain Stimulation, pp. 275 - 301 (Ed. Horn, A.). Academic Press (2022)

Kücükahmetler, D.; Hemmann, M. J.; von Aehrenfeld, J. M.; Amthor, M.; Deubel, C.; Scherf, N.; Taha, D.: A comparative empirical study of relative embedding alignment in neural dynamical system forecasters. In: Proceedings of the NeurIPS 2025 Workshop on Symmetry and Geometry in Neural Representations. (2025)

Graepler, S.; Scherf, N.; Wienhard, A.; Taha, D.: On the impact of topological regularization on geometrical and topological alignment in autoencoders: An empirical study. In: Proceedings of the NeurIPS 2025 Workshop NeurReps. (2025)

Gholamzadeh, E.; Singla, K.; Scherf, N.: Predicting microbial interactions using graph neural networks. In: Proceedings of the NeurIPS 2025 Workshop NPGML. (2025)

Beltran-Velandia, F.; Scherf, N.; Bogdan, M.: Correcting the modified stochastic synaptic model of synaptic dynamics refinement of vesicle and neurotransmitters functions. In: Artificial Neural Networks and Machine Learning – ICANN 2025, Vol. 16068, pp. 404 - 415 (Eds. Senn, W.; Sanguineti, M.; Saudargiene, A.; Tetko, I. V.; Villa, A. E. P. et al.). Springer Nature Switzerland, Cham (2025)

Torbati, N.; Gaebler, M.; Hofmann, S.; Scherf, N.: Geometry matters: Insights from Ollivier Ricci Curvature and Ricci Flow into representational alignment. In: Proceedings of the NeurIPS 2025 Workshop on Symmetry and Geometry in Neural Representations. (2025)

Milosevic, N.; Müller, J.; Scherf, N.: Central path proximal policy optimization. In: Proceedings of the 2025 International Conference on Machine Learning. (2025)

Milosevic, N.; Müller, J.; Scherf, N.: Embedding safety into RL: A new take on trust region methods. In: Proceedings of the 42nd International Conference on Machine Learning, Vol. 267, pp. 44199 - 44224. (2025)

Torbati, N.; Gaebler, M.; Hofmann, S.; Scherf, N.: Exploring geometric representational alignment through Ollivier Ricci curvature and Ricci flow. In: Proceedings of the ICLR 2025 Workshop Re-Align. (2025)

Beylier, C.; Hofmann, S.; Scherf, N.: Revealing the learning process in reinforcement learning agents through attention-oriented metrics. In: Proceedings NeurIPS 2024 Workshop SciForDL. (2024)

Mueller, K.; Scherf, N.; Grimmer, T.; Diehl-Schmid, J.; Danek, A.; Levin, J.; Wiltfang, J.; Anderl-Straub, S.; Otto, M.; Schroeter, M. L.: Structural brain alterations in patients with criminal behavior in frontotemporal dementia. In: Proceedings of the 14th International Conference on Frontotemporal Dementias (ISFTD 2024), Vol. 2024. 14th International Conference on Frontotemporal Dementias (ISFTD 2024), Amsterdam, September 19, 2024 - September 22, 2024. (2024)

Kiakou, D.; Adamopoulos, A.; Scherf, N.: Graph-based disease prediction in neuroimaging: Investigating the impact of feature selection. In: Advances in Experimental Medicine and Biology (AEMB), Vol. 1424, pp. 223 - 230. Springer (2023)