Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases. - Radin A. Nasirudin; Janne J. Näppi; Chinatsu Watari; Mikio Matsuhiro; Toru Hironaka; Shoji Kido; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2018)

U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis. - Tomoki Uemura; Chinatsu Watari; Janne J. Näppi; Toru Hironaka; Hyoungseop Kim; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2020)

Unsupervised survival prediction model from CT images of patients with COVID-19. - Tomoki Uemura; Janne J. Näppi; Chinatsu Watari; Tohru Kamiya; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2021)

A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography. - Tomoki Uemura; Janne J. Näppi; Yasuji Ryu; Chinatsu Watari; Tohru Kamiya; Hiroyuki Yoshida (Int. J. Comput. Assist. Radiol. Surg., 2021)

Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT. - Tomoki Uemura; Janne J. Näppi; Chinatsu Watari; Toru Hironaka; Tohru Kamiya; Hiroyuki Yoshida (Medical Image Anal., 2021)