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, 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
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
Multi‐atlas–based auto‐segmentation for prostatic urethra using novel prediction of deformable image registration accuracyHisamichi Takagi, Keiichi Jingu, Noriyuki Kadoya et al.|Medical Physics|2020Cited by 9