@phdthesis {7066, title = {Deep Learning for Graph-Based Image Instance Segmentation}, year = {2021}, publisher = {Heidelberg University}, author = {Bailoni, A} } @article {7090, title = {Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution}, journal = {eLife}, volume = {9}, year = {2020}, doi = {10.7554/eLife.57613}, author = {Wolny, A and Cerrone, L and Vijayan, A and Tofanelli, R and Vilches-Barro, A and Louveaux, M and Wenzel, C and Strauss, S and Wilson-Sanchez, D and Lymbouridou, R and Steigleder, SS and Pape, C and Bailoni, A and Duran-Nebreda, S and Bassel, GW and Lohmann, JU and Tsiantis, M and Hamprecht, FA and Schneitz, K and Maizel, A and Kreshuk, A} } @proceedings {7089, title = {DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging}, year = {2020}, pages = {151-162}, author = {Kirschbaum, E and Bailoni, A and Hamprecht, FA} } @proceedings {7005, title = {Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks}, volume = {12544}, year = {2020}, pages = {331-344}, publisher = {Springer}, edition = {LNCS}, doi = {10.1007/978-3-030-71278-5_24}, author = {Bailoni, A and Pape, C and Wolf, S and Kreshuk, A. and Hamprecht, F A} } @proceedings {6990, title = {The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation}, year = {2020}, pages = {208-224}, doi = {doi.org/10.1007/978-3-030-58539-6_13}, author = {Wolf, S and Li, Y and Pape, C and Bailoni, A and Kreshuk, A and Hamprecht, F A} } @proceedings {6275, title = {The Mutex Watershed: Efficient, Parameter-Free Image Partitioning}, year = {2018}, pages = {571-587}, publisher = {Springer}, doi = {10.1007/978-3-030-01225-0_34}, author = {Wolf, S and Pape, C and Bailoni, A and Rahaman, N and Kreshuk, A. and Ullrich K{\"o}the and Fred A. Hamprecht} }