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Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.
Yasaka K, Uehara S, Kato S, Watanabe Y, Tajima T, Akai H, Yoshioka N, Akahane M, Ohtomo K, Abe O, Kiryu S. Yasaka K, et al. Among authors: ohtomo k. J Imaging Inform Med. 2024 Oct;37(5):2466-2473. doi: 10.1007/s10278-024-01112-y. Epub 2024 Apr 26. J Imaging Inform Med. 2024. PMID: 38671337 Free PMC article.
Clinical Impact of Deep Learning Reconstruction in MRI.
Kiryu S, Akai H, Yasaka K, Tajima T, Kunimatsu A, Yoshioka N, Akahane M, Abe O, Ohtomo K. Kiryu S, et al. Among authors: ohtomo k. Radiographics. 2023 Jun;43(6):e220133. doi: 10.1148/rg.220133. Radiographics. 2023. PMID: 37200221
800 results