Improvement of deep learning prediction model in patient‐specific QA for VMAT with MLC leaf position map and patient's dose distribution

por Tozuka, Ryota, Kadoya, Noriyuki, Tomori, Seiji, Kimura, Yuto, Kajikawa, Tomohiro, Sugai, Yuto, Xiao, Yushan, Jingu, Keiichi
Publicado 2023

Feasibility of Differential Dose—Volume Histogram Features in Multivariate Prediction Model for Radiation Pneumonitis Occurrence

por Katsuta, Yoshiyuki, Kadoya, Noriyuki, Sugai, Yuto, Katagiri, Yu, Yamamoto, Takaya, Takeda, Kazuya, Tanaka, Shohei, Jingu, Keiichi
Publicado 2022

A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy

por Tanaka, Shohei, Kadoya, Noriyuki, Sugai, Yuto, Umeda, Mariko, Ishizawa, Miyu, Katsuta, Yoshiyuki, Ito, Kengo, Takeda, Ken, Jingu, Keiichi
Publicado 2022

Evaluation of deep learning-based deliverable VMAT plan generated by prototype software for automated planning for prostate cancer patients

por Kadoya, Noriyuki, Kimura, Yuto, Tozuka, Ryota, Tanaka, Shohei, Arai, Kazuhiro, Katsuta, Yoshiyuki, Shimizu, Hidetoshi, Sugai, Yuto, Yamamoto, Takaya, Umezawa, Rei, Jingu, Keiichi
Publicado 2023

Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients

por Sugai, Yuto, Kadoya, Noriyuki, Tanaka, Shohei, Tanabe, Shunpei, Umeda, Mariko, Yamamoto, Takaya, Takeda, Kazuya, Dobashi, Suguru, Ohashi, Haruna, Takeda, Ken, Jingu, Keiichi
Publicado 2021