Hertie AI Departments Data Science: List of Publications |

Congiu, M., Mondoloni, S., Zouridis, I. S., Schmors, L., Lecca, S., Lalive, A. L., Ginggen, K., Deng, F., Berens, P., Paolicelli, R. C., Li, Y., Burgalossi, A. & Mameli, M.

Plasticity of neuronal dynamics in the lateral habenula for cue-punishment associative learning

11

Böhm, J. N., Berens, P., & Kobak, D.

Unsupervised visualization of image datasets using contrastive learning

12

Damrich, S., Böhm, J. N., Hamprecht, F. A., & Kobak, D.

From t-SNE to UMAP with contrastive learning

13

Bachmann, F., Hennig, P., Kobak, D.

Wasserstein tSNE

14

Janschewski, J., Käppler, C., & Berens, P.

School predictors of mental health problems in children and adolescents based on a survey of students in hospital and regular schools

15

Boreiko, V., Augustin, M., Croce, F., Berens, P., & Hein, M.

Sparse visual counterfactual explanations in image space

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Müller, S., Koch, L. M., Lensch, H., & Berens, P.

In the Department of Data Science we generate knowledge from data to advance neuroscience and ophthalmology.

Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study

Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks.

The landscape of biomedical research

A paradigm shift?—On the ethics of medical large language models

Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?

Multitask Learning for Activity Detection in Neovascular Age-Related Macular Degeneration

Sparse Activations for Interpretable Disease Grading

Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals

Uncertainty, evidence, and the integration of machine learning into medical practice