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Retrospective study of deep learning to reduce noise in non-contrast head CT images.

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Title: Retrospective study of deep learning to reduce noise in non-contrast head CT images.
Authors: Wong KK; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; The Ting Tsung and Wei Fong Chao Center for BRAIN, Houston Methodist Hospital, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Radiology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA. Electronic address: kwong@houstonmethodist.org., Cummock JS; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; MD/PhD Program, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1002, Bryan, TX 77807, USA., He Y; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA., Ghosh R; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; MD/PhD Program, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1002, Bryan, TX 77807, USA., Volpi JJ; Department of Neurology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA., Wong STC; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; The Ting Tsung and Wei Fong Chao Center for BRAIN, Houston Methodist Hospital, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Radiology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Neuroscience and Experimental Therapeutics, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1005, Bryan, TX 77807, USA. Electronic address: stwong@houstonmethodist.org.
Source: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 2021 Dec; Vol. 94, pp. 101996. Date of Electronic Publication: 2021 Sep 30.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 8806104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0771 (Electronic) Linking ISSN: 08956111 NLM ISO Abbreviation: Comput Med Imaging Graph Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Retrospective study of deep learning to reduce noise in non-contrast head CT images.
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  Data: <searchLink fieldCode="AU" term="%22Wong+KK%22">Wong KK</searchLink>; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; The Ting Tsung and Wei Fong Chao Center for BRAIN, Houston Methodist Hospital, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Radiology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA. Electronic address: kwong@houstonmethodist.org.<br /><searchLink fieldCode="AU" term="%22Cummock+JS%22">Cummock JS</searchLink>; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; MD/PhD Program, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1002, Bryan, TX 77807, USA.<br /><searchLink fieldCode="AU" term="%22He+Y%22">He Y</searchLink>; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA.<br /><searchLink fieldCode="AU" term="%22Ghosh+R%22">Ghosh R</searchLink>; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; MD/PhD Program, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1002, Bryan, TX 77807, USA.<br /><searchLink fieldCode="AU" term="%22Volpi+JJ%22">Volpi JJ</searchLink>; Department of Neurology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA.<br /><searchLink fieldCode="AU" term="%22Wong+STC%22">Wong STC</searchLink>; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; The Ting Tsung and Wei Fong Chao Center for BRAIN, Houston Methodist Hospital, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Radiology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Neuroscience and Experimental Therapeutics, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1005, Bryan, TX 77807, USA. Electronic address: stwong@houstonmethodist.org.
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  Data: <searchLink fieldCode="JN" term="%228806104%22">Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society</searchLink> [Comput Med Imaging Graph] 2021 Dec; Vol. 94, pp. 101996. <i>Date of Electronic Publication: </i>2021 Sep 30.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8806104 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0771 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208956111%22">08956111 </searchLink><i>NLM ISO Abbreviation: </i>Comput Med Imaging Graph <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.compmedimag.2021.101996
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        Text: English
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              Text: 2021 Dec
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