Hertie AI Independent Research Groups
01
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
02
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.
03
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.
04
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.
05
Nazari, P., Damrich, S., Hamprecht, F.A.
Geometric Autoencoders – What You See is What You Decode
06
Damrich, S., Böhm, J. N., Hamprecht, F. A., & Kobak, D.