A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patientsTomohiro Kajikawa, Keiichi Jingu, Noriyuki Kadoya 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, Yasuhiro Kikuchi et al.|Medical dosimetry|2019Cited by 47
Evaluation of the performance of deformable image registration between planning CT and CBCT images for the pelvic region: comparison between hybrid and intensity-based DIRYoshiki Takayama, Keiichi Jingu, Noriyuki Kadoya et al.|Journal of Radiation Research|2017Cited by 42
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
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, Yoshio Kon et al.|Physica Medica|2018Cited by 21