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Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection., , , , , , and . CoRR, (2018)3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection., and . IEEE Trans. Med. Imaging, 36 (1): 155-168 (2017)Multi-Objective Memetic Search for Robust Motion and Distortion Correction in Diffusion MRI., , and . IEEE Trans. Med. Imaging, 35 (10): 2280-2291 (2016)Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis., , , , , , and . Bildverarbeitung für die Medizin, page 6-7. Springer, (2017)Effective user guidance in online interactive semantic segmentation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341V. SPIE, (2017)Adversarial Networks for the Detection of Aggressive Prostate Cancer., , , , , , , and . CoRR, (2017)Direct White Matter Bundle Segmentation using Stacked U-Nets., , , and . CoRR, (2017)Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien., , , , , , , , and . Bildverarbeitung für die Medizin, page 263-268. Springer, (2015)A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients., , , and . CoRR, (2019)MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI., , , , , , and . BMC Bioinform., 20 (1): 31:1-31:18 (2019)