Takada S - Search Results

1

Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study.

Nagayama Y, Goto M, Sakabe D, Emoto T, Shigematsu S, Taguchi N, Maruyama N, Takada S, Uchimura R, Hayashi H, Kidoh M, Oda S, Nakaura T, Funama Y, Hatemura M, Hirai T. Nagayama Y, et al. Among authors: takada s. Eur J Radiol. 2022 Jun;151:110280. doi: 10.1016/j.ejrad.2022.110280. Epub 2022 Apr 1. Eur J Radiol. 2022. PMID: 35381567

2

Magnetic resonance cholangiopancreatography with GRASE sequence at 3.0T: does it improve image quality and acquisition time as compared with 3D TSE?

Yoshida M, Nakaura T, Inoue T, Tanoue S, Takada S, Utsunomiya D, Tsumagari S, Harada K, Yamashita Y. Yoshida M, et al. Among authors: takada s. Eur Radiol. 2018 Jun;28(6):2436-2443. doi: 10.1007/s00330-017-5240-y. Epub 2018 Jan 15. Eur Radiol. 2018. PMID: 29335869

3

Dual-Energy Computed Tomography for Evaluating Acute Brain Infarction of Middle Cerebral Artery Territories: Optimization of Voltage Settings in Virtual Monoenergetic Imaging.

Yoshida M, Nakaura T, Tanoue S, Takada S, Inoue T, Uetani H, Harada K, Yamashita Y. Yoshida M, et al. Among authors: takada s. J Comput Assist Tomogr. 2019 May/Jun;43(3):460-466. doi: 10.1097/RCT.0000000000000869. J Comput Assist Tomogr. 2019. PMID: 31082952

4

The imaging findings of Peliosis hepatis on gadoxetic acid enhanced MRI.

Yoshida M, Utsunomiya D, Takada S, Komohara Y, Mizoshiri T, Oda S, Harada K, Ikeda O. Yoshida M, et al. Among authors: takada s. Radiol Case Rep. 2020 Jun 16;15(8):1261-1265. doi: 10.1016/j.radcr.2020.04.059. eCollection 2020 Aug. Radiol Case Rep. 2020. PMID: 32577143 Free PMC article.

5

Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.

Nagayama Y, Goto M, Sakabe D, Emoto T, Shigematsu S, Oda S, Tanoue S, Kidoh M, Nakaura T, Funama Y, Uchimura R, Takada S, Hayashi H, Hatemura M, Hirai T. Nagayama Y, et al. Among authors: takada s. AJR Am J Roentgenol. 2022 Aug;219(2):315-324. doi: 10.2214/AJR.21.27255. Epub 2022 Feb 23. AJR Am J Roentgenol. 2022. PMID: 35195431

6

Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CT.

Goto M, Nagayama Y, Sakabe D, Emoto T, Kidoh M, Oda S, Nakaura T, Taguchi N, Funama Y, Takada S, Uchimura R, Hayashi H, Hatemura M, Kawanaka K, Hirai T. Goto M, et al. Among authors: takada s. Acad Radiol. 2023 Mar;30(3):431-440. doi: 10.1016/j.acra.2022.04.025. Epub 2022 Jun 20. Acad Radiol. 2023. PMID: 35738988

7

Second Percutaneous Transluminal Angioplasty Versus Surgical Reconstruction for Hemodialysis Access Failure Within a Short Time Period.

Hirata K, Oda S, Takada S, Tanoue S, Hayashida E, Yokoyama K, Miyata A, Hirai T, Sugahara T. Hirata K, et al. Among authors: takada s. Ann Vasc Surg. 2023 Feb;89:147-152. doi: 10.1016/j.avsg.2022.09.053. Epub 2022 Nov 1. Ann Vasc Surg. 2023. PMID: 36328349

8

Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography.

Nagayama Y, Emoto T, Kato Y, Kidoh M, Oda S, Sakabe D, Funama Y, Nakaura T, Hayashi H, Takada S, Uchimura R, Hatemura M, Tsujita K, Hirai T. Nagayama Y, et al. Among authors: takada s. Eur Radiol. 2023 Dec;33(12):8488-8500. doi: 10.1007/s00330-023-09888-3. Epub 2023 Jul 11. Eur Radiol. 2023. PMID: 37432405

9

Super-resolution deep-learning reconstruction for cardiac CT: impact of radiation dose and focal spot size on task-based image quality.

Emoto T, Nagayama Y, Takada S, Sakabe D, Shigematsu S, Goto M, Nakato K, Yoshida R, Harai R, Kidoh M, Oda S, Nakaura T, Hirai T. Emoto T, et al. Among authors: takada s. Phys Eng Sci Med. 2024 Sep;47(3):1001-1014. doi: 10.1007/s13246-024-01423-y. Epub 2024 Jun 17. Phys Eng Sci Med. 2024. PMID: 38884668

10

Pharmacist Intervention in Outpatients With Prostate Cancer Prevents Apalutamide-induced Skin Adverse Events.

Umehara K, Saito Y, Takada S, Yamagishi K, Takada N, Maruyama S, Harabayashi T, Hashishita H. Umehara K, et al. Among authors: takada s. In Vivo. 2025 Jan-Feb;39(1):459-466. doi: 10.21873/invivo.13849. In Vivo. 2025. PMID: 39740884

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