A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"
Large-scale 3D image registration based on spatial transformers and stacked convolutional autoencoders
a project for developing registration tools with convolutional neural networks
The model contains 1 encoder and 2 decoders for bidirectional (source -> target, target -> source) 3D images registration with skip connections like Unet.
SimpleReg is a research-focused toolkit that provides tools helpful for (medical) image registration and processing.
Function and associated machinary to perform rigid registration between CT and DCE-MRI tumour image volumes, including a pre-processing GUI
An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
A tensorflow implementation of "Non-rigid image registration using fully convolutional networks with deep self-supervision"
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
