Publikationen

Müller, G. F.; Göpel, T.; Scherf, N.; Huisken, J.: Visualizing the multidimensional landscape of biological variation in modern microscopy. Frontiers in Bioinformatics 6, 1757489 (2026)

Herzog, N.; Vähäsarja, L.; Reinfeld, P.; Scherf, N.; Hofmann, S.; Andreou, C.; Villringer, A.; Mulert, C.: From surface to depth: Using deep learning to predict striatal fMRI reward signaling from EEG. Imaging Neuroscience 4, IMAG.a.1160 (2026)

Paul, D.; Milosevic, N.; Scherf, N.; Cichos, F.: Physical embodiment enables information processing beyond explicit flow sensing in active matter. Science Advances 12 (11), eaec0783 (2026)

Ayyildiz, N.; Mueller, K.; Hardikar, S.; Beyer, F.; Enzenbach, C.; Baber, R.; Wirkner, K.; Zachariae, S.; Girbardt, J.; Hassett, J. D. et al.; Anwander, A.; Elze, T.; Wang, M.; Witte, A. V.; Rauscher, F. G.; Villringer, A.: Retinal nerve fibre layer thickness reflects characteristics of brain grey and white matter. Imaging Neuroscience (2026)

Joas, M.; Jurenaite, N.; Prascevic, D.; Scherf, N.; Ewald, J.: AUTOENCODIX: A generalized and versatile framework to train and evaluate autoencoders for biological representation learning and beyond. Nature Computational Science 6 (1), S. 96 - 108 (2026)

Voženílek, D.; Mueller, K.; Serranová, T.; Nováková, L.; Vaněčková, M.; Sojka, P.: Altered functional connectivity related to prepulse inhibition in functional movement disorder. NeuroImage: Clinical 49, 103966 (2026)

Guney, O. B.; Kücükahmetler, D.; Ozkan, H.: Source-free domain adaptation for SSVEP-based brain-computer interfaces. Journal of Neural Engineering 22 (5), 056028 (2025)

Mueller, K.; Scherf, N.; Grimmer, T.; Diehl‐Schmid, J.; Danek, A.; Levin, J.; Wiltfang, J.; Anderl‐Straub, S.; Otto, M.; Schroeter, M. L. et al.; FTLD Consortium Germany: Criminal behavior in frontotemporal dementia: A multimodal MRI study. Human Brain Mapping 46 (11), e70308 (2025)

Forster, C.; Stephani, T.; Grund, M.; Panagoulas, E.; Al, E.; Hofmann, S.; Nikulin, V. V.; Villringer, A.: Pre-stimulus beta power mediates explicit and implicit perceptual biases in distinct cortical areas. Communications Psychology 3 (1), 93 (2025)

Hofmann, S.; Goltermann, O.; Scherf, N.; Müller, K.-R.; Löffler, M.; Villringer, A.; Gaebler, M.; Witte, A. V.; Beyer, F.: The utility of explainable AI for MRI analysis: Relating model predictions to neuroimaging features of the aging brain. Imaging Neuroscience 3, imag_a_00497 (2025)

Abedi, M.; Shekarchizadeh, N.; Bazin, P.-L.; Scherf, N.; Lier, J.; Bergner, C.-C.; Alzheimer’s Disease Neuroimaging Initiative; Köhler, W.; Kirsten, T.: HeteroMRI: Robust white matter abnormality classification across multi-scanner MRI data. GigaScience 14, giaf092 (2025)

Filip, P.; Lasica, A.; Kiakou, D.; Mueller, K.; Keller, J.; Urgošík, D.; Novák, D.; Jech, R.: Sweet spot for resting-state functional MRI effect of deep brain stimulation in dystonia lies in the lower pallidal area. NeuroImage: Clinical 45, 103750 (2025)

Grigoryan, K.; Mueller, K.; Wagner, M.; Masri, D.; Pine, K.; Villringer, A.; Sehm, B.: Short-term BCI intervention enhances functional brain connectivity associated with motor performance in chronic stroke. NeuroImage: Clinical 46, 103772 (2025)

Ruthig, P.; Müller, G.; Fink, M.; Scherf, N.; Morawski, M.; Schönwiesner, M.: Hemispheric asymmetry of intracortical myelin orientation in the mouse auditory cortex. European Journal of Neuroscience 61 (2), e16675 (2025)

Wu, Q.; Kiakou, D.; Mueller, K.; Köhler, W.; Schroeter, M. L.: Boostering diagnosis of frontotemporal lobar degeneration with AI-driven neuroimaging: A systematic review and meta-analysis. NeuroImage: Clinical 45, 103757 (2025)

Albrecht, F.; Mueller, K.; Ballarini, T.; Fassbender, K.; Wiltfang, J.; FTLD-Consortium; Danek, A.; Diehl-Schmid, J.; Jahn, H.; Kassubek, J. et al.; Kornhuber, J.; Landwehrmeyer, B.; Lauer, M.; Prudlo, J.; Schneider, A.; Ludolph, A. C.; Fliesbach, K.; Anderl-Straub, S.; Brüggen, K.; Fischer, M.; Förstl, H.; Hammer, A.; Homola, G.; Just, W.; Levin, J.; Marroquin, N.; Marschhauser, A.; Pino, D.; Nagl, M.; Oberstein, T.; Hüper, L.; Polyakova, M.; Pellkofer, H.; Richter-Schmidinger, T.; Rossmeier, C.; Kulko, M.; Semler, E.; Spottke, A.; Steinacker, P.; Thöne-Otto, A.; Uttner, I.; Zech, H.; Otto, M.; Jech, R.; Schroeter, M. L.: Structural parameters are superior to eigenvector centrality in detecting progressive supranuclear palsy with machine learning & multimodal MRI. Heliyon 10 (15), e34910 (2024)

Hüper, L.; Steinacker, P.; Polyakova, M.; Mueller, K.; Godulla, J.; Herzig, S.; Danek, A.; Engel, A.; Diehl‐Schmid, J.; Classen, J. et al.; Fassbender, K.; Fliessbach, K.; Jahn, H.; Kassubek, J.; Kornhuber, J.; Landwehrmeyer, B.; Lauer, M.; Obrig, H.; Oeckl, P.; Prudlo, J.; Saur, D.; Anderl‐Straub, S.; Synofzik, M.; Wagner, M.; Wiltfang, J.; Winkelmann, J.; Volk, A. E.; FTLD Consortium Germany; Huppertz, H.; Otto, M.; Schroeter, M. L.: Neurofilaments and progranulin are related to atrophy in frontotemporal lobar degeneration – A transdiagnostic study cross‐validating atrophy and fluid biomarkers. Alzheimer's & Dementia 20 (7), S. 4461 - 4475 (2024)

Filip, P.; Lasica, A.; Uhrová, T.; Mana, J.; Růžička, F.; Keller, J.; Mueller, K.; Burdová, K.; Kiakou, D.; Jech, R.: Mixed anxiety-depressive disorder in Parkinson's disease associated with worse resting state functional response to deep brain stimulation of subthalamic nucleus. Heliyon 10 (10), e30698 (2024)

Hahn, L.; Eickhoff, S. B.; Mueller, K.; Schilbach, L.; Barthel, H.; Fassbender, K.; Fliessbach, K.; Kornhuber, J.; Prudlo, J.; Synofzik, M. et al.; Wiltfang, J.; Diehl-Schmid, J.; FTLD Consortium; Otto, M.; Dukart, J.; Schroeter, M. L.: Resting-state alterations in behavioral variant frontotemporal dementia are related to the distribution of monoamine and GABA neurotransmitter systems. eLife 13, e86085 (2024)

Dubovoy, V. K.; Fritzsche, B.; Kirstein, B.; Mädler, C.; Mueller, K.: The Schur–Potapov algorithm in the general matrix case and its application to the matricial Schur problem. Complex Analysis and Operator Theory 18, 109 (2024)