Publikationen von Philipp J. Schubert

Kornfeld, J.; Januszewski, M.; Schubert, P. J.; Jain, V.; Denk, W.; Fee, M. S.: An anatomical substrate of credit assignment in reinforcement learning. bioRxiv: the preprint server for biology (2025)

Schubert, P. J.; Saxena, R.; Kornfeld, J.: DeepFocus: Fast focus and astigmatism correction for electron microscopy. Nature Communications 15, 948 (2024)

Schubert, P. J.; Dorkenwald, S.; Januszewski, M.; Klimesch, J.; Svara, F. N.; Mancu, A.; Ahmad, H.; Fee, M. S.; Jain, V.; Kornfeld, J.: SyConn2: Dense synaptic connectivity inference for volume electron microscopy. Nature Methods 19, S. 1367 - 1370 (2022)

Svara, F. N.; Förster, D.; Kubo, F.; Januszewski, M.; Dal Maschio, M.; Schubert, P. J.; Kornfeld, J.; Wanner, A. A.; Laurell, E.; Denk, W. et al.; Baier, H.: Automated synapse-level reconstruction of neural circuits in the larval zebrafish brain. Nature Methods 19 (11), S. 1357 - 1366 (2022)

Schubert, P. J.; Dorkenwald, S.; Januszewski, M.; Jain, V.; Kornfeld, J.: Learning cellular morphology with neural networks. Nature Communications 10, 2736 (2019)

Dorkenwald, S.; Schubert, P. J.; Killinger, M. F.; Urban, G.; Mikula, S.; Svara, F. N.; Kornfeld, J.: Automated synaptic connectivity inference for volume electron microscopy. Nature Methods 14 (4), S. 435 - 442 (2017)

Schubert, P. J.: Methods for the acquisition and analysis of volume electron microscopy data. Dissertation, Ludwig-Maximilians-Universität, München (2022)

Schubert, P. J.: Cellular morphology learning neural networks. Master, Ruprecht-Karls-Universität, Department of Physics and Astronomy, Heidelberg (2017)