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Using DCGAN for segmenting brain tumors from brain image scans
Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.
Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be update during the spring of 2018.
Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)
a project for developing registration tools with convolutional neural networks
Routines for diffeomorphic shape modelling
Tensorflow implementation of spatial transformer network for 2d/3d image and supports affine/non-rigid transformation
Tensorflow tutorial from basic to hard
Everything about Transfer Learning and Domain Adaptation--迁移学习
机器学习相关教程
Unsupervised Learning for Image Registration
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