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Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels.

, , , , and . MLDM (1), page 39-48. ibai Publishing, (2019)

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Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis., , , , , , , and . CoRR, (2021)HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet., , , , , , , , and . CoRR, (2021)Deep Active Lesion Segmentation., , , , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 98-105. Springer, (2019)The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation., , , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 456-465. Springer, (2021)MONAI: An open-source framework for deep learning in healthcare., , , , , , , , , and 46 other author(s). CoRR, (2022)FasterViT: Fast Vision Transformers with Hierarchical Attention., , , , , , and . CoRR, (2023)QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results., , , , , , , , , and 82 other author(s). CoRR, (2021)DiffiT: Diffusion Vision Transformers for Image Generation., , , , and . CoRR, (2023)End-to-End Deep Convolutional Active Contours for Image Segmentation., , and . CoRR, (2019)RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging., , , , , , , and . IEEE J. Biomed. Health Informatics, 26 (7): 3272-3283 (2022)