Bayesian delineation framework of clinical target volumes for prostate cancer radiotherapy using an anatomical-features-based machine learning technique. - Kenta Ninomiya; Hidetaka Arimura; M. Sasahara; T. Hirose; S. Ohga; Yoshiyuki Umezu; Hiroshi Honda; Tomonari Sasaki (Image-Guided Procedures, 2018)

Homology-based approach for prognostic prediction of lung cancer using novel topologically invariant radiomic features. - Kenta Ninomiya; Hidetaka Arimura (Image Processing, 2020)

Topological prediction models for relapse of stage I patients with non-small cell lung cancer prior to stereotactic ablative radiotherarpy. - Takumi Kodama; Hidetaka Arimura; Yuko Shirakawa; Kenta Ninomiya; Tadamasa Yoshitake; Yoshiyuki Shioyama (Computer-Aided Diagnosis, 2023)

Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients. - Kenta Ninomiya; Hidetaka Arimura; Kentaro Tanaka; Wai-Yee Chan; Yutaro Kabata; Shinichi Mizuno; Nadia Fareeda Muhammad Gowdh; Nur Adura Yaakup; Chong-Kin Liam; Chee-Shee Chai; Kwan Hoong Ng (Comput. Methods Programs Biomed., 2023)