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CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets.

, , , , , , , , , , and . GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 172-179. Springer, (2019)

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Offset Curves Loss for Imbalanced Problem in Medical Segmentation., , , , , and . ICPR, page 6189-6195. IEEE, (2020)3D Densely Convolutional Networks for Volumetric Segmentation., , and . CoRR, (2017)Compression And Intensity Modules For Brain MRI Segmentation., , and . ISBI, page 719-722. IEEE, (2019)Fast localised active contour for inhomogeneous image segmentation., , and . IET Image Processing, 10 (6): 483-494 (2016)An efficient resource allocation scheme for scalable video multicast in LTE-advanced networks., , , , and . IMCOM, page 76. ACM, (2017)PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing., , , , , and . ICIP, page 215-219. IEEE, (2021)6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks., , , , and . ISBI, page 359-362. IEEE, (2020)Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision., , , , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 592-600. Springer, (2019)Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge., , , , , , , , , and 25 other author(s). IEEE Trans. Medical Imaging, 40 (5): 1363-1376 (2021)Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance., , , , , and . DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 243-251. Springer, (2019)