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For: Masamoto K, Fujibayashi S, Otsuki B, Fukushima Y, Koizumi K, Shimizu T, Shimizu Y, Murata K, Ikeda N, Matsuda S. Cervical spinal computed tomography utilizing model-based iterative reconstruction reduces radiation to an equivalent of three cervical X-rays. Eur Spine J 2020;29:2804-2813. [PMID: 32388669 DOI: 10.1007/s00586-020-06426-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Revised: 04/04/2020] [Accepted: 04/14/2020] [Indexed: 10/24/2022]

For:	Masamoto K, Fujibayashi S, Otsuki B, Fukushima Y, Koizumi K, Shimizu T, Shimizu Y, Murata K, Ikeda N, Matsuda S. Cervical spinal computed tomography utilizing model-based iterative reconstruction reduces radiation to an equivalent of three cervical X-rays. Eur Spine J 2020;29:2804-2813. [PMID: 32388669 DOI: 10.1007/s00586-020-06426-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Revised: 04/04/2020] [Accepted: 04/14/2020] [Indexed: 10/24/2022]

Number	Cited by Other Article(s)
1	Fukushima Y, Fushimi Y, Funaki T, Sakata A, Hinoda T, Nakajima S, Sakamoto R, Yoshida K, Miyamoto S, Nakamoto Y. Evaluation of moyamoya disease in CT angiography using ultra-high-resolution computed tomography: Application of deep learning reconstruction. Eur J Radiol 2022;151:110294. [DOI: 10.1016/j.ejrad.2022.110294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/09/2022] [Accepted: 04/02/2022] [Indexed: 02/04/2023] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse

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Cited by Other Article(s)

Fukushima Y, Fushimi Y, Funaki T, Sakata A, Hinoda T, Nakajima S, Sakamoto R, Yoshida K, Miyamoto S, Nakamoto Y. Evaluation of moyamoya disease in CT angiography using ultra-high-resolution computed tomography: Application of deep learning reconstruction. Eur J Radiol 2022;151:110294. [DOI: 10.1016/j.ejrad.2022.110294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/09/2022] [Accepted: 04/02/2022] [Indexed: 02/04/2023]