@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}
}
