Hertie AI Independent Research Groups

02
Dani M, Prakash MJ, Rosa F, Akata Z, Liebe S.

Evaluating large language models for diagnostic reasoning from unstructured clinical narratives in epilepsy

May 22, 2026 | Communications Medicine
03
Kaltenecker, D., Horvath, I., Al-Maskari, R., Chen, Y., Kolabas, Z. I., Hoeher, L., ...Kofler,F. ..., & Ertürk, A. (2026)

A deep-learning framework reveals whole-body perturbations at cell level

May 20, 2026 | Nature, 1-11
04
Canisius, J., Buchner, J., Rosier, M., Griessmair, M., Peeken, J. C., Kirschke, J. S., ... & Kofler, F

GlioMODA: Robust glioma segmentation in clinical routine

Feb 12, 2026 | Neuro-Oncology Advances, 8(1),
05
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.

Dec 03, 2025 | NeurIPS 2025
06
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.

Mar 25, 2025 | Communications Biology, 8(1), 487.
07
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.

Mar 25, 2025 | Communications Biology, 8(1), 487.
08
Nazari, P., Damrich, S., Hamprecht, F.A.

Geometric Autoencoders – What You See is What You Decode

Jul 23, 2023 | International Conference on Machine Learning 2023
09
Damrich, S., Böhm, J. N., Hamprecht, F. A., & Kobak, D.

From t-SNE to UMAP with contrastive learning

May 30, 2023 | Proceedings of the International Conference on Learning Representations (ICLR)