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Year | Number of Results |
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2018 | 1 |
2021 | 2 |
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Page 1
Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.
Radiographics. 2018 Nov-Dec;38(7):2034-2050. doi: 10.1148/rg.2018170173.
Radiographics. 2018.
PMID: 30422761
Free PMC article.
Review.
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT.
Uemura T, Näppi JJ, Watari C, Hironaka T, Kamiya T, Yoshida H.
Uemura T, et al. Among authors: hironaka t.
Med Image Anal. 2021 Oct;73:102159. doi: 10.1016/j.media.2021.102159. Epub 2021 Jul 11.
Med Image Anal. 2021.
PMID: 34303892
Free PMC article.
Item in Clipboard
Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning.
Iida Y, Näppi J, Kitano T, Hironaka T, Katsumata A, Yoshida H.
Iida Y, et al. Among authors: hironaka t.
Oral Radiol. 2023 Jul;39(3):553-562. doi: 10.1007/s11282-023-00669-8. Epub 2023 Feb 8.
Oral Radiol. 2023.
PMID: 36753006
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U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19.
Näppi JJ, Uemura T, Watari C, Hironaka T, Kamiya T, Yoshida H.
Näppi JJ, et al. Among authors: hironaka t.
Sci Rep. 2021 Apr 29;11(1):9263. doi: 10.1038/s41598-021-88591-z.
Sci Rep. 2021.
PMID: 33927287
Free PMC article.
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Self-Supervised Adversarial Learning with a Limited Dataset for Electronic Cleansing in Computed Tomographic Colonography: A Preliminary Feasibility Study.
Tachibana R, Näppi JJ, Hironaka T, Yoshida H.
Tachibana R, et al. Among authors: hironaka t.
Cancers (Basel). 2022 Aug 26;14(17):4125. doi: 10.3390/cancers14174125.
Cancers (Basel). 2022.
PMID: 36077662
Free PMC article.
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