@article {7022, title = {Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera}, journal = {BioEssays}, volume = {43}, year = {2021}, doi = {10.1002/bies.202000257}, author = {Pape, C and Remme, R and Wolny, A and Olberg, S and Wolf, S and Cerrone, L and Cortese, M and Klaus, S and Lucic, B and Ullrich, S and Anders-{\"O}sswein, M and Wolf, S and Cerikan, B and Neufeldt, C J and Ganter, M and Schnitzler, P and Merle, U and Lusic, M and Boulant, S and Stanifer, M and Bartenschlager, R and Hamprecht, F A and Kreshuk, A and Tischer, C and Kr{\"a}usslich, H.-G. and M{\"u}ller, B and Laketa, V} } @phdthesis {7065, title = {Scalable Instance Segmentation for Microscopy}, year = {2021}, publisher = {Heidelberg University}, type = {PhD Thesis}, author = {Pape, C} } @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 {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} } @article {6122, title = {Multicut brings automated neurite segmentation closer to human performance}, journal = {Nature Methods}, volume = {14}, year = {2017}, pages = {101-102}, doi = {10.1038/nmeth.4151}, url = {http://rdcu.be/oVDQ}, author = {Thorsten Beier and Pape, C and Rahaman, N and Prange, T and Stuart Berg and Bock, D and A. Cardona and G. W. Knott and Plaza, S M and Scheffer, L K and Ullrich K{\"o}the and Kreshuk, A and Fred A. Hamprecht} } @article {6213, title = {Solving Large Multicut Problems for Connectomics via Domain Decomposition}, year = {2017}, pages = {1-10}, doi = { 10.1109/ICCVW.2017.7}, author = {Pape, C and Thorsten Beier and Li, P and Jain, V and Brock, D. D. and Kreshuk, A.} } @mastersthesis {6075, title = {Automatic Segmentation of Neurites from Anisotropic EM-Imaging}, year = {2016}, school = {University of Heidelberg}, author = {Pape, C} }