Understanding the eye through data — from single synapses to population-scale disease.
01
Draganov, A., Vadgama, S., Damrich, S., Böhm, J. N., Maes, L., Kobak, D., & Bekkers, E.
On the Importance of Embedding Norms in Self-Supervised Learning.
02
Kobak, D., González-Márquez, R., Horvát, E. Á., & Lause, J.
Delving into LLM-assisted writing in biomedical publications through excess vocabulary
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
Ilanchezian, I., Boreiko, V., Kühlewein, L., Huang, Z., Seçkin Ayhan, M., Hein, M., ... & Berens, P.
Development and validation of an AI algorithm to generate realistic and meaningful counterfactuals for retinal imaging based on diffusion models.
05
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
06
Oesterle, J., Ran, Y., Stahr, P., Kerr, J. N., Schubert, T., Berens, P., & Euler, T
Task-specific regional circuit adaptations in distinct mouse retinal ganglion cells
07
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
08
Gervelmeyer, J., Müller, S., Huang, Z., & Berens, P.
Fundus Image Toolbox: A Python package for fundus image processing
09
Frangos, S. M., Damrich, S., Gueiber, D., Sanchez, C. P., Wiedemann, P., Schwarz, U. S., ... & Lanzer, M
Deep learning image analysis for continuous single-cell imaging of dynamic processes in Plasmodium falciparum-infected erythrocytes.
10
Holtrup, L., Varghese, J., Schuster, A.K. et al. EyeMatics
EyeMatics—Multicenter data evaluation of real-world data with interoperable medical informatics
11
Grote, T., Freiesleben, T. & Berens, P.
Foundation models in healthcare require rethinking reliability
12
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
13
Lause, J., Berens, P., Kobak, D.
The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense
14
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.
15
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
16
Zouridis, I. S., Schmors, L., Fischer, K. M., Berens, P., Preston-Ferrer, P., & Burgalossi, A.