A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patientsTomohiro Kajikawa, Keiichi Jingu, Suguru Dobashi et al.|Journal of Radiation Research|2019Cited by 79
Automated noncoplanar treatment planning strategy in stereotactic radiosurgery of multiple cranial metastases: HyperArc and CyberKnife dose distributionsNoriyuki Kadoya, Keiichi Jingu, Takahito Chiba et al.|Medical dosimetry|2019Cited by 47
Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural networkTomohiro Kajikawa, Keiichi Jingu, Noriyuki Kadoya et al.|Radiological Physics and Technology|2018Cited by 33
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