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Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction.

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Title: Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction.
Authors: Hossain MB; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea., Shinde RK; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea., Imtiaz SM; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea., Hossain FMF; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea., Jeon SH; Department of Electronics Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea., Kwon KC; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea., Kim N; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea.
Source: International journal of biomedical imaging [Int J Biomed Imaging] 2024 May 02; Vol. 2024, pp. 8972980. Date of Electronic Publication: 2024 May 02 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101250756 Publication Model: eCollection Cited Medium: Print ISSN: 1687-4188 (Print) Linking ISSN: 16874188 NLM ISO Abbreviation: Int J Biomed Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction.
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  Data: <searchLink fieldCode="AU" term="%22Hossain+MB%22">Hossain MB</searchLink>; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shinde+RK%22">Shinde RK</searchLink>; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Imtiaz+SM%22">Imtiaz SM</searchLink>; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hossain+FMF%22">Hossain FMF</searchLink>; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jeon+SH%22">Jeon SH</searchLink>; Department of Electronics Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+KC%22">Kwon KC</searchLink>; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+N%22">Kim N</searchLink>; Department of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101250756%22">International journal of biomedical imaging</searchLink> [Int J Biomed Imaging] 2024 May 02; Vol. 2024, pp. 8972980. <i>Date of Electronic Publication: </i>2024 May 02 (<i>Print Publication: </i>2024).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101250756 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1687-4188 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216874188%22">16874188 </searchLink><i>NLM ISO Abbreviation: </i>Int J Biomed Imaging <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1155/2024/8972980
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      – TitleFull: Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction.
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              Text: 2024 May 02
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