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Article
Open AccessPrediction of prognosis in glioblastoma with radiomics features extracted by synthetic MRI images using cycle-consistent GAN
To propose a style transfer model for multi-contrast magnetic resonance imaging (MRI) images with a cycle-consistent generative adversarial network (CycleGAN) and evaluate the image quality and prognosis predi...
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Article
Image masking using convolutional networks improves performance classification of radiation pneumonitis for non-small cell lung cancer
Radiation pneumonitis (RP) is a serious side effect of radiotherapy in patients with locally advanced non-small-cell lung cancer (NSCLC). Image crop** reduces training noise and may improve classification ac...
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Article
MRI image synthesis for fluid-attenuated inversion recovery and diffusion-weighted images with deep learning
This study aims to synthesize fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted images (DWI) with a deep conditional adversarial network from T1- and T2-weighted magnetic resonance imaging (MR...
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Chapter
Future of SBRT with AI (Artificial Intelligence)
The treatment technique of SBRT has progressed with technological innovation. Recently, SBRT uses IMRT technique, thus treatment planning is complicated and the measurement-based patients QA is needed before i...
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Article
Predictive gamma passing rate of 3D detector array-based volumetric modulated arc therapy quality assurance for prostate cancer via deep learning
To predict the gamma passing rate (GPR) of the three-dimensional (3D) detector array-based volumetric modulated arc therapy (VMAT) quality assurance (QA) for prostate cancer using a convolutional neural networ...
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Article
Evaluation of metal artefact techniques with same contrast scale for different commercially available dual-energy computed tomography scanners
The aim of our study is to evaluate the metal artefact reduction techniques with the same contrast scale for different vendors’ dual-energy CT (DECT): kV-CT image with metal artefact reduction method and monoe...
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Article
Improving automatic contrast agent extraction system using monochromatic CT number
In a previous study, a phantom study of a contrast agent extraction system with computed tomography (CT) number and raw-data-based electron density (ED) was described. The current study improved this system wi...