Alexander Zeilmann
Alexander Zeilmann
PhD Student in Mathematical Oncology
Verified email at - Homepage
Cited by
Cited by
Geometric numerical integration of the assignment flow
A Zeilmann, F Savarino, S Petra, C Schnörr
Inverse Problems 36 (3), 034003, 2020
End-to-end learned random walker for seeded image segmentation
L Cerrone, A Zeilmann, FA Hamprecht
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Assignment flows for data labeling on graphs: convergence and stability
A Zern, A Zeilmann, C Schnörr
Information Geometry 5 (2), 355-404, 2022
Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure
S Haupt, A Zeilmann, A Ahadova, H Bläker, M von Knebel Doeberitz, ...
PLOS Computational Biology 17 (5), e1008970, 2021
Learning linear assignment flows for image labeling via exponential integration
A Zeilmann, S Petra, C Schnörr
Scale Space and Variational Methods in Computer Vision: 8th International …, 2021
Self-Certifying Classification by Linearized Deep Assignment
B Boll, A Zeilmann, S Petra, C Schnörr
arXiv preprint arXiv:2201.11162, 2022
Quantifying Uncertainty of Image Labelings Using Assignment Flows
D Gonzalez-Alvarado, A Zeilmann, C Schnörr
Pattern Recognition: 43rd DAGM German Conference, DAGM GCPR 2021, Bonn …, 2022
Learning Linearized Assignment Flows for Image Labeling
A Zeilmann, S Petra, C Schnörr
Journal of Mathematical Imaging and Vision, 1-21, 2023
A “two-in-one hit” model of shortcut carcinogenesis in MLH1 Lynch syndrome carriers
A Ahadova, A Stenzinger, T Seppälä, R Hüneburg, M Kloor, H Bläker, ...
Gastroenterology, 2023
Self‐Certifying Classification by Linearized Deep Assignment
B Boll, A Zeilmann, S Petra, C Schnörr
PAMM 23 (1), e202200169, 2023
Unraveling the black boxes in early cancer development using mathematical modeling at different scales
S Haupt, A Zeilmann, N Gleim, A Ahadova, H Bläker, ...
2022 Virtual Joint Mathematics Meetings (JMM 2022), 2022
Exponential Integration of the Linear Assignment Flow
A Zeilmann, F Savarino, S Petra, C Schnörr
PAMM 19 (1), e201900434, 2019
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