An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method

An unsupervised deep learning-based approach for 4D-CT lung Deformable Image Registration

Python wrapper around DEEDS - efficient algorithm for 3D discrete deformable image registration, reaching the highest accuracy in several benchmarks

Implementation of the Lucas-Kanade pyramidal optical flow algorithm to register 3D medical images; 1st repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)

Deformable Medical Image Registration via Multiview Adversarial Learning

Deforming a 3D image according to a given deformation vector field with Nadaraya-Watson regression; 3rd repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)

Rapid Partitioning-based Deformable Image Registration on Multi-GPU Accelerator

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters