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Neural Architecture Search for Lightweight Non-Local Networks.

, , , , , , , , , and . CVPR, page 10294-10303. Computer Vision Foundation / IEEE, (2020)

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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)Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach., , , , and . CoRR, (2016)Abdominal multi-organ segmentation with organ-attention networks and statistical fusion., , , , , and . Medical Image Anal., (2019)Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples., , , , , , and . CoRR, (2020)Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction., , , , , and . CoRR, (2021)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)Self-supervised deep learning of gene-gene interactions for improved gene expression recovery., , , and . Briefings Bioinform., (January 2024)CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning., , and . CVPR, page 10031-10040. IEEE, (2022)