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Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net.

, , , , , , , and . Bildverarbeitung für die Medizin, page 18. Springer, (2023)

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Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models., , , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 231-240. Springer, (2013)Confidence Histograms for Model Reliability Analysis and Temperature Calibration., , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 741-759. PMLR, (2022)Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Building Blocks for Clinical Research in Adaptive Radiotherapy., , , , , , , , , and 1 other author(s). CURAC, page 139-144. (2015)Hepatic artery segmentation with 3D convolutional neural networks., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Deep Learning-basierte Oberflächenrekonstruktion aus Binärmasken., , and . Bildverarbeitung für die Medizin, page 304-309. Springer, (2021)Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net., , , , , , , and . Bildverarbeitung für die Medizin, page 18. Springer, (2023)