nnU-Net Pre- and Postprocessing Strategies for UW-OCTA Segmentation Tasks in Diabetic Retinopathy Analysis. - Felix Krause 002; Dominik Heindl; Hana Jebril; Markus Karner; Markus Unterdechler (MIDOG/DRAC@MICCAI, 2022)

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. - Bo Qian; Hao Chen 011; Xiangning Wang; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; Seoyoung Shin; Felix Krause 002; Markus Unterdechler; Junlin Hou; Rui Feng 001; et al. (CoRR, 2023)

Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions. - Stefan Andreas Baumann; Felix Krause 002; Michael Neumayr; Nick Stracke; Vincent Tao Hu; Björn Ommer (CoRR, 2024)

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images. - Bo Qian; Hao Chen 011; Xiangning Wang; Zhouyu Guan; Tingyao Li; Yixiao Jin; Yilan Wu; Yang Wen; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; et al. (Patterns, 2024)

Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions. - Stefan Andreas Baumann; Felix Krause 002; Michael Neumayr; Nick Stracke; Melvin Sevi; Vincent Tao Hu; Björn Ommer (CVPR, 2025)

TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training. - Felix Krause 002; Timy Phan; Vincent Tao Hu; Björn Ommer (CoRR, 2025)