Wang, R., Rossetto, L., Mérillat, S., Röcke, C., Martin, M., & Bernstein, A. (under review). Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations. https://arxiv.org/abs/2504.12352
Braune, K., Schaaf T., Balzer, F., Bershtein, D.I., Broderick, A., Celik, P., Flügge, T., Kim K.K., Lahmann,N., Lindemann, D., Mainka, S., Mérillat, S., Pohle, J., Schildhauer, T., Martin, M. (2026). Digital Technologies for Healthy Longevity: A Policy Agenda from the Einstein Circle on Inclusive, Data-Driven Ageing Societies. Ageing Research Reviews, 120:103217. https://doi.org/10.1016/j.arr.2026.103217
Deschwanden, P.F., López Piñeiro, A., Hotz, I., Malagurski, B., Mérillat, S., & Jäncke, L. (2024). Influence of atlas-choice on age and time effects in large-scale brain networks in the context of healthy aging. Imaging Neuroscience, 2, 1–24. https://doi.org/10.1162/imag_a_00127
Hotz, I., Deschwanden, P. F., Liem, F., Mérillat, S., Malagurski, B., Kollias, S., & Jäncke, L. (2022). Performance of three freely available methods for extracting white matter hyperintensities: FreeSurfer, UBO Detector, and BIANCA. Human Brain Mapping, 43(5), 1481–1500. https://doi.org/10.1002/hbm.25739
Oschwald, J., Guye S., Liem, F., Rast, P., Willis, S., Röcke, C., Jäncke, L., Martin, M., Mérillat, S. (2019). Brain structure and cognitive ability in healthy aging: a review on longitudinal correlated change. Reviews in the Neurosciences, 31(1), 1-57. https://doi.org/10.1515/revneuro-2018-0096
Liem, F., Mérillat, S., Bezzola, L., Hirsiger, S., Philipp, M., Madhyastha, T. & Jäncke, L. (2015). Reliability and statistical power analysis of cortical and subcortical FreeSurfer metrics in a large sample of healthy elderly. NeuroImage, 108, 95. https://doi.org/10.1016/j.neuroimage.2014.12.035