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Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models.

, , , , , , and . ISBI, page 428-431. IEEE, (2016)

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Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models., , , , , , and . ISBI, page 428-431. IEEE, (2016)VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images., , , , , , , , , and 59 other author(s). Medical Image Anal., (2021)The Liver Tumor Segmentation Benchmark (LiTS)., , , , , , , , , and 99 other author(s). Medical Image Anal., (2023)VerSe: A Vertebrae Labelling and Segmentation Benchmark., , , , , , , , , and 20 other author(s). CoRR, (2020)Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)Uncertainty Estimation in Vascular Networks., , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 42-52. Springer, (2017)Efficient Algorithms for Moral Lineage Tracing., , , , , , and . ICCV, page 4705-4714. IEEE Computer Society, (2017)Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation., , , , and . CoRR, (2017)Reconstructing cerebrovascular networks under local physiological constraints by integer programming., , , , , , , , and . Medical Image Anal., 25 (1): 86-94 (2015)Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks., , , , , , , , , and 10 other author(s). CoRR, (2017)