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  1. Article

    Open Access

    Prediction 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...

    Hisanori Yoshimura, Daisuke Kawahara in Physical and Engineering Sciences in Medic… (2024)

  2. No Access

    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...

    Daisuke Kawahara, Nobuki Imano in Physical and Engineering Sciences in Medic… (2023)

  3. No Access

    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...

    Daisuke Kawahara, Hisanori Yoshimura in Physical and Engineering Sciences in Medic… (2023)

  4. No Access

    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...

    Takaaki Matsuura, Daisuke Kawahara in Physical and Engineering Sciences in Medic… (2022)

  5. No Access

    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...

    Daisuke Kawahara, Shuichi Ozawa in Physical and Engineering Sciences in Medic… (2020)

  6. No Access

    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...

    Daisuke Kawahara, Shuichi Ozawa in Australasian Physical & Engineering Scienc… (2019)