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Qualitative Criteria for Feasible Cranial Implant Designs.

, , и . AutoImplant@MICCAI, том 13123 из Lecture Notes in Computer Science, стр. 8-18. Springer, (2021)

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Why is the Winner the Best?, , , , , , , , , и 115 other автор(ы). CVPR, стр. 19955-19966. IEEE, (2023)Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework., и . BrainLes@MICCAI (2), том 12659 из Lecture Notes in Computer Science, стр. 40-49. Springer, (2020)MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision., , , , , , , , , и 39 other автор(ы). CoRR, (2023)Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model., , , , , , и . CoRR, (2022)AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design., , , , , , , , , и 29 other автор(ы). 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., , , , , , , , , и 27 other автор(ы). Medical Image Anal., (августа 2023)Why is the winner the best?, , , , , , , , , и 41 other автор(ы). CoRR, (2023)Qualitative Criteria for Feasible Cranial Implant Designs., , и . AutoImplant@MICCAI, том 13123 из Lecture Notes in Computer Science, стр. 8-18. Springer, (2021)Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge., и . AutoImplant@MICCAI, том 12439 из Lecture Notes in Computer Science, стр. 47-55. Springer, (2020)