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Journal of Applied Clinical Medical Physics|July 26, 2026
AI-assisted VMAT planning incorporating deep learning-based dose prediction for head and neck cancer: feasibility of quality standardization and human intervention for irregular casesSeiji Tomori, Kakutaro Narazaki, Shun TasakaPhysica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|April 25, 2020
Error detection using a convolutional neural network with dose difference maps in patient-specific quality assurance for volumetric modulated arc therapyYuto Kimura, Noriyuki Kadoya, Seiji Tomori, et al.Medical Physics|June 8, 2021
Error detection model developed using a multi-task convolutional neural network in patient-specific quality assurance for volumetric-modulated arc therapyYuto Kimura, Noriyuki Kadoya, Yohei Oku, et al.Medical Physics|August 2, 2018
A deep learning-based prediction model for gamma evaluation in patient-specific quality assuranceSeiji Tomori, Noriyuki Kadoya, Yoshiki Takayama, et al.Medical Physics|December 28, 2020
Systematic method for a deep learning-based prediction model for gamma evaluation in patient-specific quality assurance of volumetric modulated arc therapySeiji Tomori, Noriyuki Kadoya, Tomohiro Kajikawa, et al.Radiological Physics and Technology|August 16, 2018
Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural networkTomohiro Kajikawa, Noriyuki Kadoya, Kengo Ito, et al.Journal of Applied Clinical Medical Physics|June 1, 2023
Improvement of deep learning prediction model in patient-specific QA for VMAT with MLC leaf position map and patient's dose distributionRyota Tozuka, Noriyuki Kadoya, Seiji Tomori, et al.Journal of Radiation Research|July 20, 2019
A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patientsTomohiro Kajikawa, Noriyuki Kadoya, Kengo Ito, et al.Radiological Physics and Technology|August 14, 2025
Automatic segmentation of cone beam CT images using treatment planning CT images in patients with prostate cancerYoshiki Takayama, Noriyuki Kadoya, Takaya Yamamoto, et al.Pageof 1