In the Department of Machine Learning, we develop models to improve decision making in clinical brain research.
01
Federmann, L. M., Mychajliw, C., Sünkel, U., Stark, D., Kopar, S., Berg, D., ... & Ritter, K.
Identification and phenotypic profiling of subgroups with distinct cognitive aging trajectories
02
Kopar, S., Rane, R.P., Mychajliw, C., Federmann, L., Eschweiler, G., Berg, D., Gijsen, S., Perez-Toro, P.A. & Ritter, K.,
Beyond Binary: Speech Representations Across the Cognitive Score Hierarchy.
03
Wiegert, J., Marty-Lombardi, S., Oweda, J., ..., Ritter, K., Peters, A., Pischon, T., Witt, S., Nitsche, J., Naamanka, J., Volkmer, S., Mai, A., Abas, A., Li, X., Meyer-Lindenberg, A., Gradinger, T., Streit, F., Braun, U., & Schwarz, E.
Breaking the norm: population-scale deviations of brain structure in depression and anxiety
04
Hammelrath, L., Rane, R. P., Gijsen, S., Jüres, F., Brose, A., Ritter, K., ... & Knaevelsrud, C.
Comparing personalized and population-based models for predicting momentary negative affect in internalizing disorders: A digital phenotyping study
05
Gijsen, S., Schulz, M. A., & Ritter, K.
Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model.
06
Zvarova, P., van der Linden, C., Li, N., Butenko, K., Berger, T., Meyer, G.M., Sahin, I.A., Goede, L.L., Bahners, B.H., Hollunder, B. and Dembek, T.A., ..., Ritter K., ... & Horn, A.
Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease.
07
Erk, S., Wellan, S., Henze, G.I., Ritter, K., Lueken, U. and Walter, H.
Präzisionspsychiatrie und-psychotherapie: Was ist das?
08
Ritter, K., Brandt, L., & Walter, H.
KI in der Psychiatrie
09
Heinrichs, B., Diegelmann, D., Friedrich, O., Heinrichs, J.H., Kellmeyer, P., Madai, V.I., Mandelartz, S., Nähr-Wagener, S., Namuganza, S., Ritter, K. and Schleidgen, S.