2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 IEEE 1475 - 1480 2377-6870 2014/02 [Refereed]
Deep learning-based malignancy grade prediction models of parotid gland cancer using preoperative MR images
Hidemi Kamezawa; Hidetaka Arimura; Ryuji Yasumatsu; Kenta Ninomiya; Shu Haseai
American Association of Physicists in Medicine 61th annual meeting 2019/07
Prediction of five-year survival probabilities of head-and-neck cancer patients using support vector machine based on radiomic signatures selected by Coxnet
Investigation of radiomic feature selection approaches for survival prediction of squamous cell head and neck cancer patients based on features selected from squamous cell lung cancer patients
亀澤秀美; 有村秀孝; スーフィマーゼン
第37回日本医用画像工学会大会 2018/07
放射線治療の過去・現在・未来
亀澤秀美
帝京大学公開講座 2018/06
放射線治療の過去・現在・未来
亀澤秀美
生涯学習振興財団公開講座 2018/06
放射線治療におけるRadiomics
亀澤秀美
第10回筑後放射線治療座談会 2018/06
Survival prediction of head and neck cancer patients based on image features selected by using artificial neural network
Hidemi Kamezawa; Hidetaka Arimura; Mazen Soufi
第115回日本医学物理学会学術大会 2018/04
Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network
Hidemi Kamezawa; Hidetaka Arimura; Mazen Soufi
SPIE2018 Medical Imaging 2018/02
核医学物理学
亀澤秀美
2017年度医学物理士認定試験記述式問題対策講習会
Investigation of the appropriate dose index for evaluation of patient organ dose in cone-beam computed tomography scanning by using a Monte Carlo simulation
An approach of exposure dose reduction of conebeam computed tomography in an image guided patient positioning system by using various noise suppression filters
Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems 2014/12
Possibility of exposure dose reduction of cone-beam computed tomography in an image guided patient positioning system by using various noise suppression filters
KAMEZAWA Hidemi Japanese Journal of Medical Physics (Igakubutsuri) 39- (1) 35 -38 2019 [Invited]
【AI、IOT併用による放射線療法新時代へ】放射線治療におけるAIを用いたレディオミクスの可能性
亀澤 秀美; 有村 秀孝; スーフィ・マーゼン; 二宮 健太; 山田 真大 Rad Fan 16- (12) 38 -42 2018/10 [Invited]
扁平上皮肺がん患者から選択した特徴量に基づく扁平上皮頭頸部がん患者の生存予測のための特徴量選択手法の検討(Investigation of radiomic feature selection approaches for survival prediction of squamous cell head and neck cancer patients based on features selected from squamous cell lung cancer patients)