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Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality.

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Title: Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality.
Authors: Asari Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Yasaka K; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan. koyasaka@gmail.com., Endo K; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Kanzawa J; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Okimoto N; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Watanabe Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Suzuki Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Amemiya S; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Kiryu S; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286 - 0124, Japan., Abe O; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Feb; Vol. 39 (1), pp. 805-814. Date of Electronic Publication: 2025 Apr 29.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality.
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  Data: <searchLink fieldCode="AU" term="%22Asari+Y%22">Asari Y</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.<br /><searchLink fieldCode="AU" term="%22Yasaka+K%22">Yasaka K</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan. koyasaka@gmail.com.<br /><searchLink fieldCode="AU" term="%22Endo+K%22">Endo K</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.<br /><searchLink fieldCode="AU" term="%22Kanzawa+J%22">Kanzawa J</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.<br /><searchLink fieldCode="AU" term="%22Okimoto+N%22">Okimoto N</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.<br /><searchLink fieldCode="AU" term="%22Watanabe+Y%22">Watanabe Y</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.<br /><searchLink fieldCode="AU" term="%22Suzuki+Y%22">Suzuki Y</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.<br /><searchLink fieldCode="AU" term="%22Amemiya+S%22">Amemiya S</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.<br /><searchLink fieldCode="AU" term="%22Kiryu+S%22">Kiryu S</searchLink>; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286 - 0124, Japan.<br /><searchLink fieldCode="AU" term="%22Abe+O%22">Abe O</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan.
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  Data: <searchLink fieldCode="JN" term="%229918663679206676%22">Journal of imaging informatics in medicine</searchLink> [J Imaging Inform Med] 2026 Feb; Vol. 39 (1), pp. 805-814. <i>Date of Electronic Publication: </i>2025 Apr 29.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9918663679206676 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2948-2933 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2229482925%22">29482925 </searchLink><i>NLM ISO Abbreviation: </i>J Imaging Inform Med <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s10278-025-01522-6
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      – TitleFull: Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality.
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              Text: 2026 Feb
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