Accurate Quantification of Glandularity and Its Applications with Regard to Breast Radiation Doses and Missed Lesion Rates During Individualized Screening Mammography. - Mika Yamamuro; Kanako Yamada; Yoshiyuki Asai; Koji Yamada; Yoshiaki Ozaki; Masao Matsumoto; Takamichi Murakami (Digital Mammography / IWDM, 2016)

Prediction of glandularity and breast radiation dose from mammography results in Japanese women. - Mika Yamamuro; Yoshiyuki Asai; Koji Yamada; Yoshiaki Ozaki; Masao Matsumoto; Takamichi Murakami (Medical Biol. Eng. Comput., 2019)

How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography. - Mika Yamamuro; Yoshiyuki Asai; Naomi Hashimoto; Nao Yasuda; Takahiro Yamada; Mitsutaka Nemoto; Yuichi Kimura; Hisashi Handa; Hisashi Yoshida; Koji Abe; Masahiro Tada; Hitoshi Habe; et al. (Computer-Aided Diagnosis, 2021)

Development and validation of the surmising model for volumetric breast density using X-ray exposure conditions in digital mammography. - Mika Yamamuro; Yoshiyuki Asai; Takahiro Yamada; Yuichi Kimura; Kazunari Ishii; Yohan Kondo (Medical Biol. Eng. Comput., 2025)