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Systematization of Relevant Road Users for the Evaluation of Autonomous Vehicle Perception.

, , , , , , and . SysCon, page 1-8. IEEE, (2022)

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The Liver Tumor Segmentation Benchmark (LiTS)., , , , , , , , , and 99 other author(s). Medical Image Anal., (2023)Systematization of Relevant Road Users for the Evaluation of Autonomous Vehicle Perception., , , , , , and . SysCon, page 1-8. IEEE, (2022)The Liver Tumor Segmentation Benchmark (LiTS)., , , , , , , , , and 49 other author(s). CoRR, (2019)Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks., , , , , , , , and . ICCV Workshops, page 1526-1535. IEEE Computer Society, (2017)Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks., , , , , , , , , and 10 other author(s). CoRR, (2017)Invariance to Quantile Selection in Distributional Continuous Control., , , and . CoRR, (2022)SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks., , , , , , , , , and . ISBI, page 839-843. IEEE, (2017)