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Xianying Ning

As seen in: Future Medicine
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Articles

Deep learning precise image reconstruction algorithm for abdominal CT: impact on image quality and radiation dose reduction—a model validation study

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By Xiaojing Liu, Xianying Ning, Tian Liao
| jmai.amegroups.org
Have a website account?Log In orRegister for exclusive website content. Home / Vol 9 (April 30, 2026) / Deep learning precise image reconstruction algorithm for abdominal CT: impact on image quality and radiation dose reduct... Session Timed Out Your session has expired. Please sign in again.
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Deep learning precise image reconstruction algorithm for abdominal CT: impact on image quality and radiation dose reduction—a model validation study

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By Xiaojing Liu, Xianying Ning, Tian Liao
| jmai.amegroups.org
Original Article 1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; 2Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China; 3Hubei Provincial Clinical Research Center for Precision Radiology & Interventional Medicine, Wuhan, China; 4Clinical Science, Philips Healthcare, Wuhan, China Contributions: (I) Conception and design: X Liu; (II) Administrative support: Z Lei; (III) Provision of study materials or...
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Association of anemia and COVID-19 in hospitalized patients

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By Chong Chen, Wenhui Zhou, Wenliang Fan, Xianying Ning
| Future Medicine Verified
COVID-19 has become an extensive pandemic worldwide since its outbreak in Wuhan (Hubei Province, China), in December 2019 [1,2]. As of 26 July 2020, there are approximately 15,785,000 confirmed COVID-19 cases in 215 countries or regions around the world, with nearly half distributed in the United States, Brazil and India [3]. Dramatically increased cases of COVID-19 led to overwhelmed medical resources and brought huge challenges to global public health [4].
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