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2025	Deep learning-based post-hoc noise reduction improves quarter-radiation-dose coronary CT angiography European Journal of Radiology Tomoro Morikawa, Tatsuya Nishii, Yuki Tanabe, Kazuki Yoshida, Wataru Toshimori, Naoki Fukuyama, Hidetaka Toritani, Hiroshi Suekuni, Tetsuya Fukuda, Teruhito Kido
2025	Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising Artificial Intelligence Review Mohanad Alkhodari, Eman Alefishat, Herbert F. Jelinek, Ahmed Kaabneh, Panos Liatsis
2023	Deep learning-based noise reduction for coronary CT angiography: using four-dimensional noise-reduction images as the ground truth Acta Radiologica Takuma Kobayashi, Tatsuya Nishii, Kensuke Umehara, Junko Ota, Yasutoshi Ohta, Tetsuya Fukuda, Takayuki Ishida
2023	Deep Learning-based Post Hoc CT Denoising for the Coronary Perivascular Fat Attenuation Index Academic Radiology Tatsuya Nishii, Takuma Kobayashi, Tatsuya Saito, Akiyuki Kotoku, Yasutoshi Ohta, Satoshi Kitahara, Kensuke Umehara, Junko Ota, Hiroki Horinouchi, Yoshiaki Morita, Teruo Noguchi, Takayuki Ishida, Tetsuya Fukuda
2021	Modeling time series by aggregating multiple fuzzy cognitive maps PeerJ Computer Science Tianming Yu, Qunfeng Gan, Guoliang Feng
2017	Tailored Duration of Contrast Material Injection in High-Pitch Computed Tomographic Aortography With a Double-Level Test Bolus Method Investigative Radiology Tatsuya Nishii, Yoshiaki Watanabe, Shinsuke Shimoyama, Atsushi K. Kono, Keitaro Sofue, Shumpei Mori, Satoru Takahashi, Kazuro Sugimura