Self-Supervised Adversarial Learning with a Limited Dataset for Electronic Cleansing in Computed Tomographic Colonography: A Preliminary Feasibility Study

por Tachibana, Rie, Näppi, Janne J., Hironaka, Toru, Yoshida, Hiroyuki
Publicado 2022

Generative multi-adversarial network for striking the right balance in abdominal image segmentation

por Rezaei, Mina, Näppi, Janne J., Lippert, Christoph, Meinel, Christoph, Yoshida, Hiroyuki
Publicado 2020

A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography

por Uemura, Tomoki, Näppi, Janne J., Ryu, Yasuji, Watari, Chinatsu, Kamiya, Tohru, Yoshida, Hiroyuki
Publicado 2020

U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19

por Näppi, Janne J., Uemura, Tomoki, Watari, Chinatsu, Hironaka, Toru, Kamiya, Tohru, Yoshida, Hiroyuki
Publicado 2021

Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT

por Uemura, Tomoki, Näppi, Janne J., Watari, Chinatsu, Hironaka, Toru, Kamiya, Tohru, Yoshida, Hiroyuki
Publicado 2021

Accuracy of CT Colonography for Detection of Polypoid and Nonpolypoid Neoplasia by Gastroenterologists and Radiologists: A Nationwide Multicenter Study in Japan

por Nagata, Koichi, Endo, Shungo, Honda, Tetsuro, Yasuda, Takaaki, Hirayama, Michiaki, Takahashi, Sho, Kato, Takashi, Horita, Shoichi, Furuya, Ken, Kasai, Kenji, Matsumoto, Hiroshi, Kimura, Yoshiki, Utano, Kenichi, Sugimoto, Hideharu, Kato, Hiroyuki, Yamada, Rieko, Yamamichi, Junta, Shimamoto, Takeshi, Ryu, Yasuji, Matsui, Osamu, Kondo, Hitoshi, Doi, Ayako, Abe, Taro, Yamano, Hiro-o, Takeuchi, Ken, Hanai, Hiroyuki, Saida, Yukihisa, Fukuda, Katsuyuki, Näppi, Janne, Yoshida, Hiroyuki
Publicado 2017