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Abdominal Radiology (New York)|December 16, 2021
Image quality and radiologists' subjective acceptance using model-based iterative and deep learning reconstructions as adjuncts to ultrahigh-resolution CT in low-dose contrast-enhanced abdominopelvic CT: phantom and clinical pilot studiesMakiko Nishikawa, Haruhiko Machida, Yuta Shimizu, et al.Journal of Computer Assisted Tomography|January 16, 2020
Effect of Ultra High-Resolution Computed Tomography and Model-Based Iterative Reconstruction on Detectability of Simulated Submillimeter ArteryHiroyuki Morisaka, Yuta Shimizu, Takuya Adachi, et al.Communications Medicine|December 9, 2022
Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosisHirotaka Ieki, Kaoru Ito, Mike Saji, et al.Pageof 3