Research keywords (3):
Artificial Inteligence
, 画像診断
, Radiology
Research theme for competitive and other funds (5):
2023 - 2026 Early diagnosis before onset of disease pioneered by the evaluation of vascular permeability and waste excretion function for the brain and sensory organs
2022 - 2026 Simulation of past and future images of lung cancer by virtual high-resolution CT using artificial intelligence
2021 - 2024 Development of assessment method for lymphatic system in the brain: Evaluation of the influence by sleep.
2021 - 2024 A Study on Natural Language Processing Analysis of Radiology Reports using New Artificial Intelligence
Toshiaki Taoka, Kunihiro Iwamoto, Seiko Miyata, Rintaro Ito, Rei Nakamichi, Toshiki Nakane, Ippei Okada, Kazushige Ichikawa, Hirohito Kan, Koji Kamagata, et al. MR Imaging Indices for Brain Interstitial Fluid Dynamics and the Effects of Orexin Antagonists on Sleep. Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine. 2025
Mariko Kawamura, Masafumi Shimojo, Fuminari Tatsugami, Kenji Hirata, Shohei Fujita, Daiju Ueda, Yusuke Matsui, Yasutaka Fushimi, Tomoyuki Fujioka, Taiki Nozaki, et al. Stereotactic arrhythmia radioablation for ventricular tachycardia: a review of clinical trials and emerging roles of imaging. Journal of radiation research. 2024
Shohei Fujita, Yasutaka Fushimi, Rintaro Ito, Yusuke Matsui, Fuminari Tatsugami, Tomoyuki Fujioka, Daiju Ueda, Noriyuki Fujima, Kenji Hirata, Takahiro Tsuboyama, et al. Advancing clinical MRI exams with artificial intelligence: Japan’s contributions and future prospects. Japanese Journal of Radiology. 2024
Tomoyuki Fujioka, Shohei Fujita, Daiju Ueda, Rintaro Ito, Mariko Kawamura, Yasutaka Fushimi, Takahiro Tsuboyama, Masahiro Yanagawa, Akira Yamada, Fuminari Tatsugami, et al. The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI. Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine. 2024
Yusuke Matsui, Daiju Ueda, Shohei Fujita, Yasutaka Fushimi, Takahiro Tsuboyama, Koji Kamagata, Rintaro Ito, Masahiro Yanagawa, Akira Yamada, Mariko Kawamura, et al. Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature. Japanese Journal of Radiology. 2024