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Journal Abstract Search
215 related items for PubMed ID: 38902467
1. Deep learning reconstruction for lumbar spine MRI acceleration: a prospective study. Tang H, Hong M, Yu L, Song Y, Cao M, Xiang L, Zhou Y, Suo S. Eur Radiol Exp; 2024 Jun 21; 8(1):67. PubMed ID: 38902467 [Abstract] [Full Text] [Related]
7. Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol. Herrmann J, Keller G, Gassenmaier S, Nickel D, Koerzdoerfer G, Mostapha M, Almansour H, Afat S, Othman AE. Eur Radiol; 2022 Sep 21; 32(9):6215-6229. PubMed ID: 35389046 [Abstract] [Full Text] [Related]
8. Super-resolution deep learning reconstruction approach for enhanced visualization in lumbar spine MR bone imaging. Hokamura M, Nakaura T, Yoshida N, Uetani H, Shiraishi K, Kobayashi N, Matsuo K, Morita K, Nagayama Y, Kidoh M, Yamashita Y, Miyamoto T, Hirai T. Eur J Radiol; 2024 Sep 21; 178():111587. PubMed ID: 39002269 [Abstract] [Full Text] [Related]
9. Utility of accelerated T2-weighted turbo spin-echo imaging with deep learning reconstruction in female pelvic MRI: a multi-reader study. Lee EJ, Hwang J, Park S, Bae SH, Lim J, Chang YW, Hong SS, Oh E, Nam BD, Jeong J, Sung JK, Nickel D. Eur Radiol; 2023 Nov 21; 33(11):7697-7706. PubMed ID: 37314472 [Abstract] [Full Text] [Related]
18. Comparative analysis of image quality and interchangeability between standard and deep learning-reconstructed T2-weighted spine MRI. Lee S, Jung JY, Chung H, Lee HS, Nickel D, Lee J, Lee SY. Magn Reson Imaging; 2024 Jun 21; 109():211-220. PubMed ID: 38513791 [Abstract] [Full Text] [Related]