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A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets.

, , , and . IJCNN, page 1-6. IEEE, (2018)

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Self-supervised Training of Graph Convolutional Networks, , and . arXiv:2006.02380 cs, (June 2020)arXiv: 2006.02380.Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation., , and . IEEE Trans. Med. Imaging, 39 (3): 753-763 (2020)RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks., , , , , , and . CoRR, (2021)On a Sparse Shortcut Topology of Artificial Neural Networks., , , , , , and . IEEE Trans. Artif. Intell., 3 (4): 595-608 (2022)SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation., , , , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 683-692. Springer, (2022)Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation., , and . IJCAI, page 3291-3298. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation., , , , , and . MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 338-347. Springer, (2023)OASIS: One-pass aligned Atlas Set for Image Segmentation., , and . CoRR, (2019)OASIS: One-pass aligned atlas set for medical image segmentation., , , and . Neurocomputing, (2022)Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation., , and . CoRR, (2019)