Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images Deep Technome (2023) Langer S, Taubmann O, Denzinger F, Maier A, Mühlberg A Conference contribution Dataset Pruning using Evolutionary Optimization (2023) Neubig L, Kist A Conference contribution Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning (2023) Nguyen TT, Folle L, Bayer T, Maier A Conference contribution Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging (2023) Jehn C, Müller J, Kainz B Conference contribution Keynote: Beyond Supervised Learning Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis (2023) Kainz B Conference contribution Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images (2023) Ganz J, Lipnik K, Ammeling J, Richter B, Puget C, Parlak E, Diehl L, et al. Conference contribution Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays (2023) Ammeling J, Schmidt LH, Ganz J, Niedermair T, Brochhausen-Delius C, Schulz C, Breininger K, Aubreville M Conference contribution Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae (2023) Gu M, Thies M, Wagner F, Pechmann S, Aust O, Weidner D, Neag G, et al. Conference contribution Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset (2023) Wilm F, Fragoso M, Marzahl C, Qiu J, Puget C, Diehl L, Bertram CA, et al. Conference contribution Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset (2023) Wilm F, Fragoso M, Bertram CA, Stathonikos N, Öttl M, Qiu J, Klopfleisch R, et al. Conference contribution