Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization F Rathke, S Schmidt, C Schnörr Medical Image Analysis 18 (5), 781-794, 2014 | 56 | 2014 |
StructRank: A New Approach for Ligand-Based Virtual Screening F Rathke, K Hansen, U Brefeld, KR Müller Journal of chemical information and modeling 51 (1), 83-92, 2011 | 36 | 2011 |
Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans F Rathke, M Desana, C Schnörr Proc. MICCAI, 2017 | 35 | 2017 |
Bias-correction of regression models: a case study on hERG inhibition K Hansen, F Rathke, T Schroeter, G Rast, T Fox, JM Kriegl, S Mika Journal of chemical information and modeling 49 (6), 1486-1496, 2009 | 34 | 2009 |
Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography F Rathke, S Schmidt, C Schnörr International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 17 | 2011 |
Fast multivariate log-concave density estimation F Rathke, C Schnörr Computational Statistics & Data Analysis, 2019 | 13 | 2019 |
Segmentation of OCT Scans Using Probabilistic Graphical Models F Rathke, M Desana, C Schnörr Retinal Optical Coherence Tomography Image Analysis, 105-130, 2019 | | 2019 |
A Computational Approach to Log-Concave Density Estimation F Rathke, C Schnörr An. St. Univ. Ovidius Constanta 23 (3), 151-166, 2015 | | 2015 |
Probabilistic Graphical Models for Medical Image Segmentation F Rathke | | 2015 |