Publications

I recently switched fields from mathematical image analysis to mathematical oncology. Expect more publications on mathematical oncology soon.

2022

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