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Japanese Journal of Radiology|January 10, 2023
The location of unilateral axillary lymphadenopathy after COVID-19 vaccination compared with that of metastasis from breast cancer without vaccinationKiyoko Mukai, Hiroko Tsunoda, Ryosuke Imai, et al.Breast Cancer (Tokyo, Japan)|March 6, 2024
Deep learning model to predict Ki-67 expression of breast cancer using digital breast tomosynthesisKen Oba, Maki Adachi, Tomoya Kobayashi, et al.Journal of Medical Ultrasonics (2001)|January 3, 2021
B-mode ultrasound diagnostic flowchart for solid breast masses: JABTS BC-01 studyTakanori Watanabe, Takuhiro Yamaguchi, Eriko Tohno, et al.Breast Cancer (Tokyo, Japan)|July 3, 2025
Development of a deep learning-based automated diagnostic system (DLADS) for classifying mammographic lesions - a first large-scale multi-institutional clinical trial in JapanTakeshi Yamaguchi, Yoichi Koyama, Kenichi Inoue, et al.Clinical Breast Cancer|February 2, 2021
Long-Term Oncologic Safety of Nipple-Sparing Mastectomy With Immediate ReconstructionYuji Yamashita, Hiroko Tsunoda, Naomi Nagura, et al.Journal of Medical Ultrasonics (2001)|June 1, 2023
The Japan Society of Ultrasonics in Medicine guidelines on non-mass abnormalities of the breastToshikazu Ito, Ei Ueno, Tokiko Endo, et al.Clinical Breast Cancer|October 23, 2012
Ductal carcinoma in situ that involves sclerosing adenosis: high frequency of bilateral breast cancer occurrenceAtsushi Yoshida, Naoki Hayashi, Futoshi Akiyama, et al.Surgical Case Reports|March 5, 2016
Malignant phyllodes tumor metastasized to the right ventricle: a case reportFumi Yoshidaya, Naoki Hayashi, Katsuhito Takahashi, et al.The Tohoku Journal of Experimental Medicine|July 24, 2024
Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis ImagesRyusei Inamori, Tomofumi Kaneno, Ken Oba, et al.Radiological Physics and Technology|July 19, 2023
Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesisDaiki Shimokawa, Kengo Takahashi, Ken Oba, et al.Pageof 8