Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance
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[1] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[2] Alan C. Evans,et al. Enhancement of MR Images Using Registration for Signal Averaging , 1998, Journal of Computer Assisted Tomography.
[3] M. Viergever,et al. Automatic Segmentation of MR Brain Images With a Convolutional Neural Network. , 2016, IEEE transactions on medical imaging.
[4] Elena Marchiori,et al. Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities , 2016, Scientific Reports.
[5] Jyrki Lötjönen,et al. Robust whole-brain segmentation: Application to traumatic brain injury , 2015, Medical Image Anal..
[6] Marc Niethammer,et al. DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation , 2019, MICCAI.
[7] J. Pickard,et al. Hydrocephalus shunt technology: 20 years of experience from the Cambridge Shunt Evaluation Laboratory. , 2014, Journal of neurosurgery.
[8] Mert R. Sabuncu,et al. VoxelMorph: A Learning Framework for Deformable Medical Image Registration , 2018, IEEE Transactions on Medical Imaging.
[9] Arno Klein,et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration , 2011, NeuroImage.
[10] Jens Petersen,et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation , 2020, Nature Methods.