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Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation.

, , , , and . CoRR, (2017)

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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)Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary., , , , , , and . CoRR, (2020)The Liver Tumor Segmentation Benchmark (LiTS)., , , , , , , , , and 49 other author(s). CoRR, (2019)A Learnable Prior Improves Inverse Tumor Growth Modeling., , , , , , , , , and 4 other author(s). CoRR, (2024)Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference., , , , , , , , , and 4 other author(s). IEEE Trans. Medical Imaging, 38 (8): 1875-1884 (2019)Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 41 (5): 1269-1278 (2022)