{\rtf1\ansi\deff0\deftab360

{\fonttbl
{\f0\fswiss\fcharset0 Arial}
{\f1\froman\fcharset0 Times New Roman}
{\f2\fswiss\fcharset0 Verdana}
{\f3\froman\fcharset2 Symbol}
}

{\colortbl;
\red0\green0\blue0;
}

{\info
{\author Biblio 7.x}{\operator }{\title Biblio RTF Export}}

\f1\fs24
\paperw11907\paperh16839
\pgncont\pgndec\pgnstarts1\pgnrestart
 Sitenko, D, Boll, B and Schn\'f6rr, C (2021). Assignment Flow For Order-Constrained OCT Segmentation. Int J Computer Vision. 129\par \par  Gonzalez-Alvarado, D, Zeilmann, A and Schn\'f6rr, C (2021). Assignment Flows and Nonlocal PDEs on Graphs. GCPR, in press\par \par  Sitenko, D, Boll, B and Schn\'f6rr, C (2021). Assignment Flows and Nonlocal PDEs on Graphs. GCPR, in press\par \par  Rathke, F and Schn\'f6rr, C (2019). Fast Multivariate Log-Concave Density Estimation. Comp. Statistics & Data Analysis. 140 41-58\par \par  H\'fchnerbein, R, Savarino, F, Astr\'f6m, F and Schn\'f6rr, C (2018). Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. SIAM Journal on Imaging Sciences. 11 1317-1362\par \par  Zern, A, Zisler, M, Astr\'f6m, F, Petra, S and Schn\'f6rr, C (2018). Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. GCPR. Proceedings. 698-713\par \par  Rathke, F, Desana, M and Schn\'f6rr, C (2017). Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans. MICCAI. Proceedings. 177-184\par \par }