Hideaki Hirashima

Improvement of prediction and classification performance for gamma passing rate by using plan complexity and dosiomics features

Hideaki Hirashima, Tomohiro Ono, Mitsuhiro Nakamura et al. · Radiotherapy and Oncology · 2020 · 80 citations

Engineering, Machine Learning, Data Science +6

Prediction of dosimetric accuracy for VMAT plans using plan complexity parameters via machine learning

Tomohiro Ono, Hideaki Hirashima, Hiraku Iramina et al. · Medical Physics · 2019 · 71 citations

Comparison of radiomic features in diagnostic CT images with and without contrast enhancement in the delayed phase for NSCLC patients

Ryo Kakino, Mitsuhiro Nakamura, Takamasa Mitsuyoshi et al. · Physica Medica · 2020 · 45 citations

Computed Tomography, Diagnostic Ct Images, Engineering +12

Application and limitation of radiomics approach to prognostic prediction for lung stereotactic body radiotherapy using breath‐hold CT images with random survival forest: A multi‐institutional study

Ryo Kakino, Mitsuhiro Nakamura, Takamasa Mitsuyoshi et al. · Medical Physics · 2020 · 39 citations · Full text

Quantification of the kV X-ray imaging dose during real-time tumor tracking and from three- and four-dimensional cone-beam computed tomography in lung cancer patients using a Monte Carlo simulation

Mitsuhiro Nakamura, Yoshitomo Ishihara, Yukinori Matsuo et al. · Journal of Radiation Research · 2017 · 22 citations · Full text

Computed Tomography, Surgery, Four-dimensional Cone-beam +19