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Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks., , , , , , , , , and 10 other author(s). CoRR, (2017)Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation., , , , and . CoRR, (2017)Federated learning for computational pathology on gigapixel whole slide images., , , , , , , and . Medical Image Anal., (2022)AI-based pathology predicts origins for cancers of unknown primary., , , , , , and . Nat., 594 (7861): 106-110 (2021)Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling., , , , , , , , , and 5 other author(s). Medical Image Anal., (2023)The Liver Tumor Segmentation Benchmark (LiTS)., , , , , , , , , and 49 other author(s). CoRR, (2019)Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary., , , , , , and . CoRR, (2020)A Learnable Prior Improves Inverse Tumor Growth Modeling., , , , , , , , , and 4 other author(s). CoRR, (2024)Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective., , , , , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 655-668. PMLR, (2020)The Liver Tumor Segmentation Benchmark (LiTS)., , , , , , , , , and 99 other author(s). Medical Image Anal., (2023)