State-of-the-Art of Computer-Aided Detection/Diagnosis (CAD). - Hiroshi Fujita 001; Jane You; Qin Li 001; Hidetaka Arimura; Rie Tanaka; Shigeru Sanada; Noboru Niki; Gobert N. Lee; Takeshi Hara; Daisuke Fukuoka; Chisako Muramatsu; Tetsuro Katafuchi; et al. (ICMB, 2010)

Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks. - Kazuma Kobayashi; Ryuichiro Hataya; Yusuke Kurose; Amina Bolatkan; Mototaka Miyake; Hirokazu Watanabe; Masamichi Takahashi; Naoki Mihara; Jun Itami; Tatsuya Harada; Ryuji Hamamoto (CoRR, 2020)

Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval. - Kazuma Kobayashi; Ryuichiro Hataya; Yusuke Kurose; Mototaka Miyake; Masamichi Takahashi; Akiko Nakagawa; Tatsuya Harada; Ryuji Hamamoto (CoRR, 2021)

Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. - Kazuma Kobayashi; Ryuichiro Hataya; Yusuke Kurose; Mototaka Miyake; Masamichi Takahashi; Akiko Nakagawa; Tatsuya Harada; Ryuji Hamamoto (Medical Image Anal., 2021)

Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Mototaka Miyake; Yasuyuki Takamizawa; Sono Ito; Hirokazu Watanabe; Yukihiro Yoshida; Hiroki Yoshimura; Tatsuya Harada; Ryuji Hamamoto (MICCAI (2), 2023)

Sketch-based Medical Image Retrieval. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Takaaki Mizuno; Mototaka Miyake; Hirokazu Watanabe; Masamichi Takahashi; Yasuyuki Takamizawa; Yukihiro Yoshida; Satoshi Nakamura; Nobuji Kouno; Amina Bolatkan; et al. (CoRR, 2023)

"Small-data" Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation. - Yuqiao Yang; Ze Jin; Fumihiko Nakatani; Mototaka Miyake; Kenji Suzuki 001 (ISBI, 2024)

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography. - Pengyu Dai; Yafei Ou; Yuqiao Yang; Dichao Liu; Masahiro Hashimoto; Masahiro Jinzaki; Mototaka Miyake; Kenji Suzuki 001 (MICCAI (11), 2024)

Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer. - Kazuma Kobayashi; Yasuyuki Takamizawa; Mototaka Miyake; Sono Ito; Lin Gu 003; Tatsuya Nakatsuka; Yu Akagi; Tatsuya Harada; Yukihide Kanemitsu; Ryuji Hamamoto (Artif. Intell. Medicine, 2024)

Sketch-based semantic retrieval of medical images. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Takaaki Mizuno; Mototaka Miyake; Hirokazu Watanabe; Masamichi Takahashi; Yasuyuki Takamizawa; Yukihiro Yoshida; Satoshi Nakamura; Nobuji Kouno; Amina Bolatkan; et al. (Medical Image Anal., 2024)

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)