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Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework.

, and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 40-49. Springer, (2020)

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Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model., , , , , , and . CoRR, (2022)Qualitative Criteria for Feasible Cranial Implant Designs., , and . AutoImplant@MICCAI, volume 13123 of Lecture Notes in Computer Science, page 8-18. Springer, (2021)Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge., and . AutoImplant@MICCAI, volume 12439 of Lecture Notes in Computer Science, page 47-55. Springer, (2020)AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design., , , , , , , , , and 29 other author(s). IEEE Trans. Medical Imaging, 40 (9): 2329-2342 (2021)Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge., , , , , , , , , and 27 other author(s). Medical Image Anal., (August 2023)Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework., and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 40-49. Springer, (2020)MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision., , , , , , , , , and 39 other author(s). CoRR, (2023)