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Conjugate gradient and deep learning reconstructions: reduced time without affecting image quality and nodule detection.

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Title: Conjugate gradient and deep learning reconstructions: reduced time without affecting image quality and nodule detection.
Authors: Ohno Y; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp.; Joint Research Laboratory of Advanced Medical Imaging and Artificial Intelligence, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp., Ozawa Y; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan., Ueda T; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan., Nomura M; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Joint Research Laboratory of Advanced Medical Imaging and Artificial Intelligence, Fujita Health University School of Medicine, Toyoake, Japan., Yazawa N; Canon Medical Systems Corporation, Otawara, Japan., Shinohara M; Canon Medical Systems Corporation, Otawara, Japan., Yamamoto K; Canon Medical Systems Corporation, Otawara, Japan., Sano Y; Canon Medical Systems Corporation, Otawara, Japan., Ikedo M; Canon Medical Systems Corporation, Otawara, Japan., Ozaki M; Canon Medical Systems Corporation, Otawara, Japan., Yui M; Canon Medical Systems Corporation, Otawara, Japan., Harada S; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan., Takeda S; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan., Iwase A; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan., Yoshikawa T; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Radiology, Fujita Health University Bantane Hospital, Nagoya, Japan., Takenaka D; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Radiology, Fujita Health University Okazaki Medical Center, Okazaki, Japan.
Source: European radiology [Eur Radiol] 2026 May; Vol. 36 (5), pp. 4165-4176. Date of Electronic Publication: 2025 Dec 24.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Conjugate gradient and deep learning reconstructions: reduced time without affecting image quality and nodule detection.
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  Data: <searchLink fieldCode="AU" term="%22Ohno+Y%22">Ohno Y</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp.; Joint Research Laboratory of Advanced Medical Imaging and Artificial Intelligence, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp.<br /><searchLink fieldCode="AU" term="%22Ozawa+Y%22">Ozawa Y</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Ueda+T%22">Ueda T</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Nomura+M%22">Nomura M</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Joint Research Laboratory of Advanced Medical Imaging and Artificial Intelligence, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Yazawa+N%22">Yazawa N</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Shinohara+M%22">Shinohara M</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Yamamoto+K%22">Yamamoto K</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Sano+Y%22">Sano Y</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Ikedo+M%22">Ikedo M</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Ozaki+M%22">Ozaki M</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Yui+M%22">Yui M</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Harada+S%22">Harada S</searchLink>; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Takeda+S%22">Takeda S</searchLink>; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Iwase+A%22">Iwase A</searchLink>; Department of Radiology, Fujita Health University Hospital, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Yoshikawa+T%22">Yoshikawa T</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Radiology, Fujita Health University Bantane Hospital, Nagoya, Japan.<br /><searchLink fieldCode="AU" term="%22Takenaka+D%22">Takenaka D</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Radiology, Fujita Health University Okazaki Medical Center, Okazaki, Japan.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 May; Vol. 36 (5), pp. 4165-4176. <i>Date of Electronic Publication: </i>2025 Dec 24.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00330-025-12153-4
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              Text: 2026 May
              Type: published
              Y: 2026
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