Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. - Artur Speiser; Jinyao Yan; Evan W. Archer; Lars Buesing; Srinivas C. Turaga; Jakob H. Macke (NIPS, 2017)

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. - Philipp Berens; Jeremy Freeman; Thomas Deneux; Nicolay Chenkov; Thomas McColgan; Artur Speiser; Jakob H. Macke; Srinivas C. Turaga; Patrick J. Mineault; Peter Rupprecht; Stephan Gerhard; Rainer W. Friedrich; et al. (PLoS Comput. Biol., 2018)

Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning. - Artur Speiser; Srinivas C. Turaga; Jakob H. Macke (CoRR, 2019)

Generative Model based Training of Deep Neural Networks for Event Detection in Microscopy Data - Artur Speiser (2023)