In the Department of Data Science we generate knowledge from data to advance neuroscience and ophthalmology.
01
Schmors, L., Gonschorek, D., Böhm, J. N., Qiu, Y., Zhou, N., Kobak, D., ... & Berens, P.
TRACE: Contrastive learning for multi-trial time-series data in neuroscience.
02
Zouridis, I. S., Schmors, L., Lecca, S., Congiu, M., Mameli, M., Berens, P., ... & Burgalossi, A.
Aversion Encoding and Behavioral State Modulation of Physiologically Defined Cell Types in the Lateral Habenula.
03
Schmors, L., Kotkat, A. H., Bauer, Y., Huang, Z., Crombie, D., Meyerolbersleben, L. S., ... & Busse, L.
Effects of corticothalamic feedback depend on visual responsiveness and stimulus type.
04
Djoumessi, K., Huang, Z., Kühlewein, L., Rickmann, A., Simon, N., Koch, L. M., & Berens, P.
An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy
05
Weis, M. A., Papadopoulos, S., Hansel, L., Lüddecke, T., Celii, B., Fahey, P. G., ... & Ecker, A. S.
An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex
06
Gervelmeyer, J., Müller, S., Huang, Z., & Berens, P.
Fundus Image Toolbox: A Python package for fundus image processing
07
Holtrup, L., Varghese, J., Schuster, A.K. et al. EyeMatics
EyeMatics—Multicenter data evaluation of real-world data with interoperable medical informatics
08
Grote, T., Freiesleben, T. & Berens, P.
Foundation models in healthcare require rethinking reliability
09
Gervelmeyer, J., Müller, S., Djoumessi, K., Merle, D., Clark, S. J., Koch, L., & Berens, P.
Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling
10
Lause, J., Berens, P., Kobak, D.
The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense
11
Franke, K., Cai, C., Ponder, K., Fu, J., Sokoloski, S., Berens, P., & Tolias, A. S.
Asymmetric distribution of color-opponent response types across mouse visual cortex supports superior color vision in the sky.
12
Beck, J., Bosch, N., Deistler, M., Kadhim, K.L., Macke, J. H., Hennig, P., Berens, P.
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
13
Zouridis, I. S., Schmors, L., Fischer, K. M., Berens, P., Preston-Ferrer, P., & Burgalossi, A.
Juxtacellular recordings from identified neurons in the mouse locus coeruleus
14
Köhler, P., Fadugba, J., Berens, P., Koch, L.M.
Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images
15
Wundram, A.M., Fischer, P., Wunderlich, S., Faber, H., Koch, L.M., Berens, P., Baumgartner C. F.
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach
16
Yaïci, R., Cieplucha, M., Bock, R. et al