Comparison of patch-based conditional generative adversarial neural net models with emphasis on model robustness for use in head and neck cases for mr-only …
P Klages, I Benslimane, S Riyahi, J Jiang… - arXiv preprint arXiv …, 2019 - arxiv.org
A total of twenty paired CT and MR images were used in this study to investigate two
conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating …
conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating …
Patch‐based generative adversarial neural network models for head and neck MR‐only planning
P Klages, I Benslimane, S Riyahi, J Jiang… - Medical …, 2020 - Wiley Online Library
Purpose To evaluate pix2pix and CycleGAN and to assess the effects of multiple
combination strategies on accuracy for patch‐based synthetic computed tomography (sCT) …
combination strategies on accuracy for patch‐based synthetic computed tomography (sCT) …
Compensation cycle consistent generative adversarial networks (Comp‐GAN) for synthetic CT generation from MR scans with truncated anatomy
Background MR scans used in radiotherapy can be partially truncated due to the limited field
of view (FOV), affecting dose calculation accuracy in MR‐based radiation treatment …
of view (FOV), affecting dose calculation accuracy in MR‐based radiation treatment …
A feature invariant generative adversarial network for head and neck MRI/CT image synthesis
With the emergence of online MRI radiotherapy treatments, MR-based workflows have
increased in importance in the clinical workflow. However proper dose planning still requires …
increased in importance in the clinical workflow. However proper dose planning still requires …
Multi-planar dual adversarial network based on dynamic 3D features for MRI-CT head and neck image synthesis
Objective. Head and neck radiotherapy planning requires electron densities from different
tissues for dose calculation. Dose calculation from imaging modalities such as MRI remains …
tissues for dose calculation. Dose calculation from imaging modalities such as MRI remains …
CT Synthesis from MRI Using Generative Adversarial Network with Frequency-Aware Discriminator
Y Li, S Xu, Z Qi - Journal of Electrical Engineering & Technology, 2024 - Springer
The pursuit of generating computed tomography (CT) from magnetic resonance imaging
(MRI) remains a key area of research with the goal of advancing modern radiation therapy …
(MRI) remains a key area of research with the goal of advancing modern radiation therapy …
[HTML][HTML] Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma …
Background and purpose To investigate the feasibility of synthesizing computed tomography
(CT) images from magnetic resonance (MR) images using generative adversarial networks …
(CT) images from magnetic resonance (MR) images using generative adversarial networks …
[PDF][PDF] MR-to-CT synthesis using cycle-consistent generative adversarial networks
JM Wolterink, AM Dinkla, MH Savenije… - Proc. Neural Inf …, 2017 - doc.ic.ac.uk
Radiotherapy treatment planning requires a magnetic resonance (MR) volume for
segmentation of tumors and organs at risk, and a spatially corresponding computed …
segmentation of tumors and organs at risk, and a spatially corresponding computed …
Multi‐sequence MR image‐based synthetic CT generation using a generative adversarial network for head and neck MRI‐only radiotherapy
M Qi, Y Li, A Wu, Q Jia, B Li, W Sun, Z Dai, X Lu… - Medical …, 2020 - Wiley Online Library
Purpose The purpose of this study is to investigate the effect of different magnetic resonance
(MR) sequences on the accuracy of deep learning‐based synthetic computed tomography …
(MR) sequences on the accuracy of deep learning‐based synthetic computed tomography …
Mask-guided generative adversarial network for MRI-based CT synthesis
Y Luo, SW Zhang, J Ling, Z Lin, Z Wang… - Knowledge-Based Systems, 2024 - Elsevier
Synthetic computed tomography (sCT) images from magnetic resonance imaging (MRI) data
have broad applications in clinical medicine, including radiation oncology and surgical …
have broad applications in clinical medicine, including radiation oncology and surgical …