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Journal of Computer Assisted Tomography|April 28, 2017
Iterative Reconstruction Designed for Brain CT: A Correlative Study With Filtered Back Projection for the Diagnosis of Acute Ischemic StrokeYuji Iyama, Takeshi Nakaura, Seitaro Oda, et al.
Medicine|March 24, 2023
Effect of patient characteristics on vessel enhancement on arterio-venous fistula CT angiography in a retrospective cohort studyTakanori Masuda, Takeshi Nakaura, Yoshinori Funama, et al.
European Journal of Radiology|July 13, 2024
Super-resolution deep learning reconstruction approach for enhanced visualization in lumbar spine MR bone imagingMasamichi Hokamura, Takeshi Nakaura, Naofumi Yoshida, et al.
European Radiology|March 13, 2025
Liver function estimation using multiphase hepatic CT: diagnostic performance of iodine-uptake and volumetric parametersYasunori Nagayama, Masamichi Hokamura, Narumi Taguchi, et al.
European Journal of Radiology|June 6, 2022
Myocardial extracellular volume quantification by cardiac CT in pulmonary hypertension: Comparison with cardiac MRIHidetaka Hayashi, Seitaro Oda, Takafumi Emoto, et al.
Physical and Engineering Sciences in Medicine|June 17, 2024
Super-resolution deep-learning reconstruction for cardiac CT: impact of radiation dose and focal spot size on task-based image qualityTakafumi Emoto, Yasunori Nagayama, Sentaro Takada, et al.
Journal of Computer Assisted Tomography|May 8, 2024
A Novel Approach to Detecting Contrast Extravasation in Computed Tomography: Evaluating the Injection Pressure-to-Injection Rate RatioNaoki Kobayashi, Takeshi Nakaura, Kaori Shiraishi, et al.
Journal of Imaging Informatics in Medicine|April 14, 2026
Image Quality Advancements in Low-Dose Pediatric CT Using Super-Resolution Deep-Learning ReconstructionYasunori Nagayama, Takafumi Emoto, Taihei Inoue, et al.
European Journal of Radiology|February 5, 2025
Super-resolution deep-learning reconstruction with 1024 matrix improves CT image quality for pancreatic ductal adenocarcinoma assessmentYasunori Nagayama, Soichiro Ishiuchi, Taihei Inoue, et al.
Journal of Computer Assisted Tomography|February 12, 2024
Optimizing High-Resolution MR Angiography: The Synergistic Effects of 3D Wheel Sampling and Deep Learning-Based ReconstructionGoh Sasaki, Hiroyuki Uetani, Takeshi Nakaura, et al.
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