Apr 4, 2022 · In this work, we proposed a deep learning-based dual-feasible framework for HN MRI pre-treatment and post-treatment [8] deformable registration.
In this study, we aim to develop a deep learning-based method for automatic deformable registration to align post-treatment and pre-treatment head and neck (HN) ...
Longitudinal Deformable MRI Registration via Dual-Feasible Deep Learning-based Framework ... registration using multiscale unsupervised deep learning.
Jul 23, 2022 · In this study, we aim to develop a deep learning (DL)-based method for automatic deformable registration to align the pCT and the QA CT. Our ...
Missing: MRI | Show results with:MRI
Deformable CT Image Registration via a Dual Feasible Neural Network
www.ncbi.nlm.nih.gov › PMC9792435
Dec 1, 2023 · In this study, we aim to develop a deep learning-based method for automatic deformable registration to align the pCT and the QA CT. Our proposed ...
Missing: MRI | Show results with:MRI
... deep learning-based registration ... A coarse-to-fine deformable transformation framework for unsupervised multi-contrast mr image registration with dual ...
Longitudinal deformable MRI registration via dual-feasible deep learning-based framework. Medical Imaging: Biomedical Applications in Molecular, Structural ...
Deformable registration approach based on unsupervised deep learning for longitudinal abdominopelvic CT images. •. Automated removal of CT table and ...
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May 21, 2024 · The developed deep learning-based model can perform an end-to-end deformable registration of a pair of 3D MRI scans for glioma patients without ...
This review focuses on monomodal and multimodal registration and associated imaging, for instance, X-ray, CT scan, ultrasound, and MRI. The existing challenges ...