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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)Abdominal multi-organ segmentation with organ-attention networks and statistical fusion., , , , , and . Medical Image Analysis, (2019)Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach., , , , and . CoRR, (2016)Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound., , , , , and . MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 434-442. Springer, (2018)Improving Transferability of Adversarial Examples with Input Diversity., , , , , and . CoRR, (2018)Abdominal multi-organ segmentation with organ-attention networks and statistical fusion., , , , , and . CoRR, (2018)A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans., , , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 693-701. Springer, (2017)Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans., , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 222-230. Springer, (2017)Improving Transferability of Adversarial Examples With Input Diversity., , , , , , and . CVPR, page 2730-2739. Computer Vision Foundation / IEEE, (2019)