Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine. - Ryuji Hamamoto; Ken Takasawa; Hidenori Machino; Kazuma Kobayashi; Satoshi Takahashi; Amina Bolatkan; Norio Shinkai; Akira Sakai; Rina Aoyama; Masayoshi Yamada; Ken Asada; Masaaki Komatsu; et al. (Briefings Bioinform., 2022)

Analysis of super-enhancer using machine learning and its application to medical biology. - Ryuji Hamamoto; Ken Takasawa; Norio Shinkai; Hidenori Machino; Nobuji Kouno; Ken Asada; Masaaki Komatsu; Syuzo Kaneko (Briefings Bioinform., 2023)

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review. - Satoshi Takahashi; Yusuke Sakaguchi; Nobuji Kouno; Ken Takasawa; Kenichi Ishizu; Yu Akagi; Rina Aoyama; Naoki Teraya; Amina Bolatkan; Norio Shinkai; Hidenori Machino; Kazuma Kobayashi; et al. (J. Medical Syst., 2024)

Establishment of a machine learning model for predicting splenic hilar lymph node metastasis. - Kenichi Ishizu; Satoshi Takahashi; Nobuji Kouno; Ken Takasawa; Katsuji Takeda; Kota Matsui; Masashi Nishino; Tsutomu Hayashi; Yukinori Yamagata; Shigeyuki Matsui; Takaki Yoshikawa; Ryuji Hamamoto (npj Digit. Medicine, 2025)

A series of natural language processing for predicting tumor response evaluation and survival curve from electronic health records. - Toshiki Takeuchi; Hidehito Horinouchi; Ken Takasawa; Masami Mukai; Ken Masuda; Yuki Shinno; Yusuke Okuma; Tatsuya Yoshida; Yasushi Goto; Noboru Yamamoto; Yuichiro Ohe; Mototaka Miyake; et al. (BMC Medical Informatics Decis. Mak., 2025)