A review on medical imaging synthesis using deep learning and its clinical applications
This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …
clinical application. Specifically, we summarized the recent developments of deep learning …
Deep learning based synthetic‐CT generation in radiotherapy and PET: a review
Abstract Recently, deep learning (DL)‐based methods for the generation of synthetic
computed tomography (sCT) have received significant research attention as an alternative to …
computed tomography (sCT) have received significant research attention as an alternative to …
Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review
Purpose In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN
B Zhao, T Cheng, X Zhang, J Wang, H Zhu… - … medical imaging and …, 2023 - Elsevier
Magnetic resonance (MR) image-guided radiation therapy is a hot topic in current radiation
therapy research, which relies on MR to generate synthetic computed tomography (SCT) …
therapy research, which relies on MR to generate synthetic computed tomography (SCT) …
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
This brief review summarizes the major applications of artificial intelligence (AI), in particular
deep learning approaches, in molecular imaging and radiation therapy research. To this …
deep learning approaches, in molecular imaging and radiation therapy research. To this …
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy
Y Liu, A Chen, H Shi, S Huang, W Zheng, Z Liu… - … medical imaging and …, 2021 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) guided Radiation Therapy is a hot topic in the
current studies of radiotherapy planning, which requires using MRI to generate synthetic …
current studies of radiotherapy planning, which requires using MRI to generate synthetic …
A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI
Purpose Despite the proven utility of multiparametric magnetic resonance imaging (MRI) in
radiation therapy, MRI‐guided radiation treatment planning is limited by the fact that MRI …
radiation therapy, MRI‐guided radiation treatment planning is limited by the fact that MRI …
Deep learning–based MR‐to‐CT synthesis: the influence of varying gradient echo–based MR images as input channels
Purpose To study the influence of gradient echo–based contrasts as input channels to a 3D
patch‐based neural network trained for synthetic CT (sCT) generation in canine and human …
patch‐based neural network trained for synthetic CT (sCT) generation in canine and human …
Comparison of different deep learning architectures for synthetic CT generation from MR images
Purpose Among the different available methods for synthetic CT generation from MR images
for the task of MR-guided radiation planning, the deep learning algorithms have and do …
for the task of MR-guided radiation planning, the deep learning algorithms have and do …
Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning
The purpose of this work is to validate the application of a deep learning-based method for
pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy …
pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy …