Apr 20, 2020 · In this study, we proposed an accurate and fast multi-scale DIR network (MS-DIRNet) for abdominal 4D-CT registration. MS-DIRNet consists of a ...
Oct 10, 2019 · 4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network. Conference paper; First Online: 10 October 2019.
Aug 22, 2023 · This study proposed a novel recursive cascaded full-resolution residual network (RCFRR-Net) for abdominal four-dimensional computed tomography ( ...
In this paper, we present our preliminary results on using a fast-unsupervised generative adversarial network (GAN) to generate deformation vector fields (DVF) ...
Oct 17, 2019 · In this paper, we present our preliminary results on using a fast-unsupervised generative adversarial network (GAN) to generate deformation ...
The preliminary results on using a fast-unsupervised generative adversarial network (GAN) to generate deformation vector fields (DVF) for 4D-CT DIR to help ...
Aug 22, 2023 · A novel recursive cascaded full-resolution residual network (RCFRR-Net) for abdominal four-dimensional computed tomography (4D-CT) image ...
Feb 3, 2020 · A fast and accurate 4D-CT lung DIR method, namely LungRegNet, was proposed using deep learning. LungRegNet consists of two subnetworks which are ...
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The current study presents a comprehensive scoping review on the state-of-the-art literature of medical image registration studies based on unsupervised deep ...
D'Souza, W.D., et al.: The use of gated and 4D CT imaging in planning for stereotactic body radiation therapy. Med. Dosim. 32(2), 92–101 (2007)