In the Department of Data Science we generate knowledge from data to advance neuroscience and ophthalmology.
01
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.
02
Holtrup, L., Varghese, J., Schuster, A.K. et al. EyeMatics
EyeMatics—Multicenter data evaluation of real-world data with interoperable medical informatics
03
Grote, T., Freiesleben, T. & Berens, P.
Foundation models in healthcare require rethinking reliability
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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
05
Lause, J., Berens, P., Kobak, D.
The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense
06
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.
07
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
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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
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Köhler, P., Fadugba, J., Berens, P., Koch, L.M.
Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images
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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
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Yaïci, R., Cieplucha, M., Bock, R. et al
ChatGPT und die deutsche Facharztprüfung für Augenheilkunde: eine Evaluierung
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Koch, L.M., Baumgartner, C.F. & Berens, P
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study
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Ayhan, M. S., Neubauer, J., Uzel, M. M., Gelisken, F., & Berens, P.
Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks.
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González-Márquez, R., Schmidt, L., Schmidt, B. M., Berens, P., & Kobak, D.
The landscape of biomedical research
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Grote, T., Berens, P.
A paradigm shift?—On the ethics of medical large language models
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Sun, S., Koch, L. M., & Baumgartner, C. F.