Takayoshi Uematsu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Convolutional Neural Network

Artificial Intelligence

Magnetic Resonance

Top Venues

Journal of medical ultrasonics (2001)

Breast cancer (Tokyo, Japan)

Radiology. Imaging cancer

Japanese journal of radiology

This page only lists publications with an associated author ORCID identifier.

Publications

Masako Kataoka, Takayoshi Uematsu
AI Systems for Mammography with Digital Breast Tomosynthesis: Expectations and Challenges. Radiology. Imaging cancer 6 (4) (2024)
Takayoshi Uematsu, Kazuaki Nakashima, Hatsuko Nasu, Tatsuya Igarashi, Yukiko Okayama, Akifumi Notsu
Preliminary study of standardized semiquantitative method for ultrasonographic breast composition assessment. Journal of medical ultrasonics (2001) 51 (3) (2024)
Masako Kataoka, Takayoshi Uematsu
AI Systems for Mammography with Digital Breast Tomosynthesis: Expectations and Challenges. Radiology. Imaging cancer 6 (4) (2024)
Masako Kataoka, Takayoshi Uematsu
AI Systems for Mammography with Digital Breast Tomosynthesis: Expectations and Challenges. Radiology. Imaging cancer 6 (4) (2024)
Takayoshi Uematsu, Kazuaki Nakashima, Hatsuko Nasu, Tatsuya Igarashi, Yukiko Okayama, Akifumi Notsu
Preliminary study of standardized semiquantitative method for ultrasonographic breast composition assessment. Journal of medical ultrasonics (2001) 51 (3) (2024)
Yoichi Koyama, Kazuaki Nakashima, Shunichiro Orihara, Hiroko Tsunoda, Fuyo Kimura, Natsuki Uenaka, Kanako Ban, Yukiko Michishita, Yoshihide Kanemaki, Arisa Kurihara, Kanae Tawaraya, Masataka Taguri, Takashi Ishikawa, Takayoshi Uematsu
Inter- and intra-observer variability of qualitative visual breast-composition assessment in mammography among Japanese physicians: a first multi-institutional observer performance study in Japan. Breast cancer (Tokyo, Japan) 31 (4) (2024)
Takayoshi Uematsu, Kazuaki Nakashima, Hatsuko Nasu, Tatsuya Igarashi, Yukiko Okayama, Akifumi Notsu
Preliminary study of standardized semiquantitative method for ultrasonographic breast composition assessment. Journal of medical ultrasonics (2001) (2024)
Yoichi Koyama, Kazuaki Nakashima, Shunichiro Orihara, Hiroko Tsunoda, Fuyo Kimura, Natsuki Uenaka, Kanako Ban, Yukiko Michishita, Yoshihide Kanemaki, Arisa Kurihara, Kanae Tawaraya, Masataka Taguri, Takashi Ishikawa, Takayoshi Uematsu
Inter- and intra-observer variability of qualitative visual breast-composition assessment in mammography among Japanese physicians: a first multi-institutional observer performance study in Japan. Breast cancer (Tokyo, Japan) (2024)
Takayoshi Uematsu, Kazuaki Nakashima, Hatsuko Nasu, Tatsuya Igarashi, Yukiko Okayama, Akifumi Notsu
Preliminary study of standardized semiquantitative method for ultrasonographic breast composition assessment. Journal of medical ultrasonics (2001) 51 (3) (2024)
Takayoshi Uematsu, Kazuaki Nakashima, Hatsuko Nasu, Tatsuya Igarashi, Yukiko Okayama, Akifumi Notsu
Preliminary study of standardized semiquantitative method for ultrasonographic breast composition assessment. Journal of medical ultrasonics (2001) 51 (3) (2024)
Masako Kataoka, Takayoshi Uematsu
AI Systems for Mammography with Digital Breast Tomosynthesis: Expectations and Challenges. Radiology. Imaging cancer 6 (4) (2024)
Takayoshi Uematsu
Non-mass lesions on breast ultrasound: why does not the ACR BI-RADS breast ultrasound lexicon add the terminology? Journal of medical ultrasonics (2001) (2023)
Takayoshi Uematsu
Rethinking screening mammography in Japan: next-generation breast cancer screening through breast awareness and supplemental ultrasonography. Breast cancer (Tokyo, Japan) (2023)
Takayoshi Uematsu
The future of breast ultrasonography through non-mass lesions. Journal of medical ultrasonics (2001) (2023)
Takayoshi Uematsu, Kazuaki Nakashima, Taiyo Leopoldo Harada, Hatsuko Nasu, Tatsuya Igarashi
Artificial intelligence computer-aided detection enhances synthesized mammograms: comparison with original digital mammograms alone and in combination with tomosynthesis images in an experimental setting. Breast cancer (Tokyo, Japan) (2022)
Takayoshi Uematsu
Sensitivity and specificity of screening mammography without clinical breast examination among Japanese women aged 40-49 years: analysis of data from the J-START results. Breast cancer (Tokyo, Japan) 29 (5) (2022)
Takayoshi Uematsu, Kazuaki Nakashima, Taiyo Leopoldo Harada, Hatsuko Nasu, Tatsuya Igarashi
Comparisons between artificial intelligence computer-aided detection synthesized mammograms and digital mammograms when used alone and in combination with tomosynthesis images in a virtual screening setting. Japanese journal of radiology (2022)
Taiyo Leopoldo Harada, Takayoshi Uematsu, Kazuaki Nakashima, Takanori Kawabata, Seiichirou Nishimura, Kaoru Takahashi, Yukiko Tadokoro, Tomomi Hayashi, Kazuyo Tsuchiya, Junichiro Watanabe, Takashi Sugino
Evaluation of Breast Edema Findings at T2-weighted Breast MRI Is Useful for Diagnosing Occult Inflammatory Breast Cancer and Can Predict Prognosis after Neoadjuvant Chemotherapy. Radiology 299 (1) (2021)