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Super-resolution deep learning reconstruction improves brain MRI quality and detection of metastases.

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Title: Super-resolution deep learning reconstruction improves brain MRI quality and detection of metastases.
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., Kanzawa J; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7- 3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan., Sonoda Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7- 3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan., Fukushima T; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7- 3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan., Koyama H; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7- 3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan., Koshino 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: Japanese journal of radiology [Jpn J Radiol] 2026 Apr; Vol. 44 (4), pp. 641-649. Date of Electronic Publication: 2025 Dec 10.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Japan NLM ID: 101490689 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-108X (Electronic) Linking ISSN: 18671071 NLM ISO Abbreviation: Jpn J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Super-resolution deep learning reconstruction improves brain MRI quality and detection of metastases.
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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="%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="%22Sonoda+Y%22">Sonoda 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="%22Fukushima+T%22">Fukushima T</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="%22Koyama+H%22">Koyama H</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="%22Koshino+S%22">Koshino 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="%22101490689%22">Japanese journal of radiology</searchLink> [Jpn J Radiol] 2026 Apr; Vol. 44 (4), pp. 641-649. <i>Date of Electronic Publication: </i>2025 Dec 10.
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        Value: 10.1007/s11604-025-01921-3
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        Text: English
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              Text: 2026 Apr
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