Automated noncoplanar treatment planning strategy in stereotactic radiosurgery of multiple cranial metastases: HyperArc and CyberKnife dose distributionsNoriyuki Kadoya, Keiichi Jingu, Yoshitomo Abe et al.|Medical dosimetry|2019Cited by 47
A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapyShohei Tanaka, Keiichi Jingu, Noriyuki Kadoya et al.|Scientific Reports|2022Cited by 29
Quantifying the performance of two different types of commercial software programs for 3D patient dose reconstruction for prostate cancer patients: Machine log files vs. machine log files with EPID imagesNoriyuki Kadoya, Keiichi Jingu, Yoshiyuki Katsuta et al.|Physica Medica|2018Cited by 21
Prediction of radiation pneumonitis with machine learning using 4D-CT based dose-function featuresYoshiyuki Katsuta, Keiichi Jingu, Noriyuki Kadoya et al.|Journal of Radiation Research|2021Cited by 13
Radiation pneumonitis prediction model with integrating multiple dose-function features on 4DCT ventilation imagesYoshiyuki Katsuta, Keiichi Jingu, Noriyuki Kadoya et al.|Physica Medica|2022Cited by 9