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3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.

, , , , , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 851-858. Springer, (2018)

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Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images., , , , , and . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning., , , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 338-346. Springer, (2017)Weakly Supervised Segmentation from Extreme Points., , , , , , and . LABELS/HAL-MICCAI/CuRIOUS@MICCAI, volume 11851 of Lecture Notes in Computer Science, page 42-50. Springer, (2019)Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan., , , , , , , , , and 10 other author(s). CoRR, (2020)Do Gradient Inversion Attacks Make Federated Learning Unsafe?, , , , , , , , , and 1 other author(s). CoRR, (2022)Privacy-preserving Federated Brain Tumour Segmentation., , , , , , , , , and 1 other author(s). CoRR, (2019)End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation., , , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 124-132. Springer, (2019)Privacy-Preserving Federated Brain Tumour Segmentation., , , , , , , , , and 1 other author(s). MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 133-141. Springer, (2019)Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network., , , , , , , and . CoRR, (2019)3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training., , , , , , , , and . CoRR, (2018)