Learning Volumetric Shape Super-Resolution for Cranial Implant Design
暂无分享,去创建一个
[1] Dieter Schmalstieg,et al. Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software , 2017, PloS one.
[2] Jan Egger,et al. Automated Computer-aided Design of Cranial Implants Using a Deep Volumetric Convolutional Denoising Autoencoder , 2019, WorldCIST.
[3] Dieter Schmalstieg,et al. Computer-aided planning and reconstruction of cranial 3D implants , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[4] Jianning Li. Deep Learning for Cranial Defect Reconstruction , 2020 .
[5] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[6] Christina Gsaxner,et al. A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge , 2020, ML-CDS/CLIP@MICCAI.
[7] Lapo Governi,et al. A Semi-Automatic Hybrid Approach for Defective Skulls Reconstruction , 2019, Proceedings of CAD'19.
[8] M Dujovny,et al. Cranioplasty: cosmetic or therapeutic? , 1997, Surgical neurology.
[9] Christina Gsaxner,et al. An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design , 2020, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling.
[10] Daniel Rueckert,et al. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Jan Egger,et al. Computer-aided implant design for the restoration of cranial defects , 2017, Scientific Reports.