Research keywords (3):
deep learning
, simulation
, nuclear medicine
Research theme for competitive and other funds (1):
2020 - 2022 Development of noise removal method using unsupervised learning for SPECT images
Papers (23):
Shohei Harada, Kazuki Takano, Motoaki Fukasawa, Seiji Shirakawa, Masayuki Yamada. Manganese-enhanced magnetic resonance imaging detects activation of limbic structures in response to auditory stimuli of different frequencies. Magnetic resonance imaging. 2022. 94. 89-97
Masanori Tadokoro, Seiji Shirakawa, Masanori Watanabe, Atsushi Teramoto, Masaki Uno, Seiichiro Ota, Ryo Matsukiyo, Taro Okui, Yoshikazu Kobayashi, Hiroshi Toyama. Two-versus three-dimensional regions of interest for quantifying SPECT-CT images. Physical and Engineering Sciences in Medicine. 2021. 44. 2. 365-375