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Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach., , , , and . CoRR, (2016)Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples., , , , , , and . CoRR, (2020)CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention., , , , , , , , , and 2 other author(s). CoRR, (2024)Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging., , , , , , , and . CoRR, (2022)TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation., , , , , , , , and . CoRR, (2021)Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction., , , , , and . CoRR, (2021)Abdominal multi-organ segmentation with organ-attention networks and statistical fusion., , , , , and . Medical Image Anal., (2019)2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans., , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples., , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Self-supervised deep learning of gene-gene interactions for improved gene expression recovery., , , and . Briefings Bioinform., (January 2024)