Publications

2023

B. Boll, A. Zeilmann, S. Petra, C. Schnörr: Self-Certifying Classification by Linearized Deep Assignment. PAMM, May 2023
DOI: 10.1002/pamm.202200169
PDF
A. Ahadova, A. Stenzinger, T. Seppälä, R. Hüneburg, M. Kloor, H. Bläker, J. Wittemann, V. Endris, L. Gerling, V. Bertram, M. Neumuth, J. Witt, S. Graf, G. Kristiansen, O. Hommerding, S. Haupt, A. Zeilmann, V. Heuveline, D. Kazdal, J. Gebert, M. von Knebel Doeberitz, J. Mecklin, J. Nattermann: A “two-in-one hit” model of shortcut carcinogenesis in MLH1 Lynch syndrome carriers. Gastroenterology, March 2023
DOI: 10.1053/j.gastro.2023.03.007
A. Zeilmann, S. Petra, C. Schnörr: Learning Linearized Assignment Flows for Image Labeling. Journal of Mathematical Imaging and Vision, January 2023
DOI: 10.1007/s10851-022-01132-9
PDF

2022

B. Boll, A. Zeilmann, S. Petra, C. Schnörr: Self-Certifying Classification by Linearized Deep Assignment. arXiv, January 2022. Preprint
Code

2021

A. Zern, A. Zeilmann, C. Schnörr: Assignment flows for data labeling on graphs: convergence and stability. Information Geometry, November 2021
DOI: 10.1007/s41884-021-00060-8
arXiv
D. Gonzalez-Alvarado, A. Zeilmann, C. Schnörr: Quantifying Uncertainty of Image Labelings Using Assignment Flows. DAGM German Conference on Pattern Recognition, September 28–October 1, 2021
DOI: 10.1007/978-3-030-92659-5_29
PDFVideo
A. Zeilmann, S. Petra, C. Schnörr: Learning Linearized Assignment Flows for Image Labeling. arXiv, August 2021. Preprint, accepted in JMIV
S. Haupt, A. Zeilmann, A. Ahadova, H. Bläker, M. von Knebel Doeberitz, M. Kloor, V. Heuveline: Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure. PLOS Computational Biology, May 2021
DOI: 10.1371/journal.pcbi.1008970
PubMedbioRxiv
A. Zeilmann, S. Petra, C. Schnörr: Learning Linear Assignment Flows for Image Labeling via Exponential Integration. Scale Space and Variational Methods in Computer Vision, May 16–20, 2021
DOI: 10.1007/978-3-030-75549-2_31

2020

S. Haupt, A. Zeilmann, A. Ahadova, M. von Knebel Doeberitz, M. Kloor, V. Heuveline: Mathematical Modeling of Multiple Pathways in Colorectal Carcinogenesis using Dynamical Systems with Kronecker Structure. bioRxiv, August 2020. Preprint
DOI: 10.1101/2020.08.14.250175
Published Version
A. Zeilmann, F. Savarino, S. Petra, C. Schnörr: Geometric numerical integration of the assignment flow. Inverse Problems, February 2020
DOI: 10.1088/1361-6420/ab2772
arXiv
A. Zern, A. Zeilmann, C. Schnörr: Assignment Flows for Data Labeling on Graphs: Convergence and Stability. arXiv, February 2020. Preprint
Published Version

2019

A. Zeilmann, F. Savarino, S. Petra, C. Schnörr: Exponential Integration of the Linear Assignment Flow. PAMM, September 2019
DOI: 10.1002/pamm.201900434
L. Cerrone, A. Zeilmann, F. Hamprecht: End-to-End Learned Random Walker for Seeded Image Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15–20, 2019
DOI: 10.1109/CVPR.2019.01284
SupplementCodearXivPoster

2018

A. Zeilmann, F. Savarino, S. Petra, C. Schnörr: Geometric Numerical Integration of the Assignment Flow. arXiv, October 2018. Preprint
Published Version
Thank you to all my coauthors!