Constantin Pape
Constantin Pape
Juniorprofessor, University Goettingen
Verified email at - Homepage
Cited by
Cited by
Integrative imaging reveals SARS-CoV-2-induced reshaping of subcellular morphologies
M Cortese, JY Lee, B Cerikan, CJ Neufeldt, VMJ Oorschot, S Köhrer, ...
Cell host & microbe 28 (6), 853-866. e5, 2020
Prevalence of SARS-CoV-2 infection in children and their parents in Southwest Germany
B Tönshoff, B Müller, R Elling, H Renk, P Meissner, H Hengel, ...
JAMA pediatrics 175 (6), 586-593, 2021
Multicut brings automated neurite segmentation closer to human performance
T Beier, C Pape, N Rahaman, T Prange, S Berg, DD Bock, A Cardona, ...
Nature Methods 14 (2), 101, 2017
Accurate and versatile 3D segmentation of plant tissues at cellular resolution
A Wolny, L Cerrone, A Vijayan, R Tofanelli, AV Barro, M Louveaux, ...
Elife 9, e57613, 2020
Profiling cellular diversity in sponges informs animal cell type and nervous system evolution
JM Musser, KJ Schippers, M Nickel, G Mizzon, AB Kohn, C Pape, ...
Science 374 (6568), 717-723, 2021
Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain
L Heinrich, J Funke, C Pape, J Nunez-Iglesias, S Saalfeld
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Whole-body integration of gene expression and single-cell morphology
HM Vergara, C Pape, KI Meechan, V Zinchenko, C Genoud, AA Wanner, ...
Cell 184 (18), 4819-4837. e22, 2021
OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies
J Moore, C Allan, S Besson, JM Burel, E Diel, D Gault, K Kozlowski, ...
Nature methods 18 (12), 1496-1498, 2021
The mutex watershed: efficient, parameter-free image partitioning
S Wolf, C Pape, A Bailoni, N Rahaman, A Kreshuk, U Kothe, ...
Proceedings of the European Conference on Computer Vision (ECCV), 546-562, 2018
The mutex watershed and its objective: efficient, parameter-free graph partitioning
S Wolf, A Bailoni, C Pape, N Rahaman, A Kreshuk, U Köthe, ...
IEEE transactions on pattern analysis and machine intelligence 43 (10), 3724 …, 2020
Solving large multicut problems for connectomics via domain decomposition
C Pape, T Beier, P Li, V Jain, DD Bock, A Kreshuk
Proceedings of the IEEE International conference on computer vision …, 2017
Leveraging domain knowledge to improve microscopy image segmentation with lifted multicuts
C Pape, A Matskevych, A Wolny, J Hennies, G Mizzon, M Louveaux, ...
Frontiers in Computer Science, 6, 2019
A versatile reporter system to monitor virus-infected cells and its application to dengue virus and SARS-CoV-2
F Pahmeier, CJ Neufeldt, B Cerikan, V Prasad, C Pape, V Laketa, ...
Journal of Virology 95 (4), e01715-20, 2021
GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation
A Bailoni, C Pape, N Hütsch, S Wolf, T Beier, A Kreshuk, FA Hamprecht
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Microscopy‐based assay for semi‐quantitative detection of SARS‐CoV‐2 specific antibodies in human sera: A semi‐quantitative, high throughput, microscopy‐based assay expands …
C Pape, R Remme, A Wolny, S Olberg, S Wolf, L Cerrone, M Cortese, ...
Bioessays 43 (3), 2000257, 2021
Volume electron microscopy
CJ Peddie, C Genoud, A Kreshuk, K Meechan, KD Micheva, K Narayan, ...
Nature Reviews Methods Primers 2 (1), 51, 2022
The semantic mutex watershed for efficient bottom-up semantic instance segmentation
S Wolf, Y Li, C Pape, A Bailoni, A Kreshuk, FA Hamprecht
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Bioimage model zoo: a community-driven resource for accessible deep learning in bioimage analysis
W Ouyang, F Beuttenmueller, E Gómez-de-Mariscal, C Pape, T Burke, ...
bioRxiv, 2022.06. 07.495102, 2022
Proposal-free volumetric instance segmentation from latent single-instance masks
A Bailoni, C Pape, S Wolf, A Kreshuk, FA Hamprecht
Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021
MoBIE: a Fiji plugin for sharing and exploration of multi-modal cloud-hosted big image data
C Pape, K Meechan, E Moreva, M Schorb, N Chiaruttini, V Zinchenko, ...
Nature Methods, 1-2, 2023
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