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nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging.

, , , , , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 540-551. Springer, (2021)

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nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging., , , , , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 540-551. Springer, (2021)Style Curriculum Learning for Robust Medical Image Segmentation., , , , , , , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 451-460. Springer, (2021)Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge., , , , , , , , , and 13 other author(s). Medical Image Anal., (2022)Domain generalization in deep learning for contrast-enhanced imaging., , , , , , , and . Comput. Biol. Medicine, (2022)Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI., , , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 290-299. Springer, (2019)Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries., , , , , , , , , and 7 other author(s). CoRR, (2022)Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation., , , , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 514-524. Springer, (2022)Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge., , , , , , , , , and 13 other author(s). CoRR, (2020)Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI., , , , , , , and . CoRR, (2021)Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge., , , , , and . MyoPS@MICCAI, volume 12554 of Lecture Notes in Computer Science, page 1-16. Springer, (2020)