K. Yagishita

Relationship Between Breast Density, Breast Cancer Subtypes, and Prognosis.

N. Kanomata, H. Tsunoda, Koyu Suzuki, 2022, Clinical breast cancer.

Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images

E. Takaya, Takuya Ueda, K. Yagishita, 2022, Radiological Physics and Technology.

A “balloon” inside the mouth

K. Tsunoda, K. Yagishita, Sota Oguro, 2019, Endoscopy.

The location of unilateral axillary lymphadenopathy after COVID-19 vaccination compared with that of metastasis from breast cancer without vaccination

N. Kanomata, H. Tsunoda, H. Yamauchi, 2023, Japanese Journal of Radiology.

Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesis

E. Takaya, Takuya Ueda, T. Usuzaki, 2023, Radiological Physics and Technology.

Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound Elastography.

Kuniyoshi Hayashi, Y. Kurihara, S. Naganawa, 2023, Ultrasound in medicine & biology.

Do All Intraductal Lesions Identified During Breast Ultrasound Screening Require Further Examination?

N. Kanomata, K. Yagishita, Hiroko Tsunoda, 2022, Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening).