A.  Bailoni, ?Deep Learning for Graph-Based Image Instance Segmentation?. Heidelberg University, 2021.

A.  Wolny, Cerrone, L., Vijayan, A., Tofanelli, R., Vilches-Barro, A., Louveaux, M., Wenzel, C., Strauss, S., Wilson-Sanchez, D., Lymbouridou, R., Steigleder, S. S., Pape, C., Bailoni, A., Duran-Nebreda, S., Bassel, G. W., Lohmann, J. U., Tsiantis, M., Hamprecht, F. A., Schneitz, K., Maizel, A., and Kreshuk, A., ?Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution?, eLife, vol. 9, 2020.

E.  Kirschbaum, Bailoni, A., and Hamprecht, F. A., ?DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging?, MICCAI. Proceedings. pp. 151-162, 2020.

A.  Bailoni, Pape, C., Wolf, S., Kreshuk, A., and Hamprecht, F. A., ?Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks?, GCPR, vol. 12544. Springer, pp. 331-344, 2020.

S.  Wolf, Li, Y., Pape, C., Bailoni, A., Kreshuk, A., and Hamprecht, F. A., ?The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation?, ECCV. Proceedings. pp. 208-224, 2020.

S.  Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed: Efficient, Parameter-Free Image   Partitioning?, ECCV. Proceedings. Springer, pp. 571-587, 2018.