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Chengjia Wang

Showing results (11-20 of 28) with videos related to

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Communications Medicine|December 20, 2023
Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficienciesGiorgos Papanastasiou, Guang Yang, Dimitris I Fotiadis, et al.
Applied Soft Computing|December 22, 2021
Robust weakly supervised learning for COVID-19 recognition using multi-center CT imagesQinghao Ye, Yuan Gao, Weiping Ding, et al.
Neuroimage|November 6, 2020
Pharmacokinetic modelling for the simultaneous assessment of perfusion and <sup>18</sup>F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of conceptGiorgos Papanastasiou, Mark A Rodrigues, Chengjia Wang, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 17, 2018
Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary <sup>18</sup>F-NaF PET ImagingMartin Lyngby Lassen, Jacek Kwiecinski, Sebastien Cadet, et al.
Computational and Structural Biotechnology Journal|January 25, 2024
A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI dataDavid M Morris, Chengjia Wang, Giorgos Papanastasiou, et al.
Colloids and Surfaces. B, Biointerfaces|March 22, 2022
Bimetallic gold-platinum nanoparticles as a drug delivery system coated with a new drug to target glioblastomaAnastasia P Stavropoulou, Maria Theodosiou, Elias Sakellis, et al.
Frontiers in Medicine|July 1, 2021
Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 InfectionsHuijing Ma, Qinghao Ye, Weiping Ding, et al.
Nanomedicine (London, England)|September 11, 2020
Tri-modal imaging of gold-dotted magnetic nanoparticles for magnetic resonance imaging, computed tomography and intravascular ultrasound: an <i>in vitro</i> studyJoel Kuhn, Giorgos Papanastasiou, Cheuk-Wai Tai, et al.
Journal of Cardiovascular Translational Research|August 16, 2017
Exploring the Biological and Mechanical Properties of Abdominal Aortic Aneurysms Using USPIO MRI and Peak Tissue Stress: A Combined Clinical and Finite Element StudyNoel Conlisk, Rachael O Forsythe, Lyam Hollis, et al.
Nature Communications|September 23, 2025
Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK BiobankWei Xu, Ines Mesa-Eguiagaray, David M Morris, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

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Pageof 3
Communications Medicine|December 20, 2023
Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficienciesGiorgos Papanastasiou, Guang Yang, Dimitris I Fotiadis, et al.
Applied Soft Computing|December 22, 2021
Robust weakly supervised learning for COVID-19 recognition using multi-center CT imagesQinghao Ye, Yuan Gao, Weiping Ding, et al.
Neuroimage|November 6, 2020
Pharmacokinetic modelling for the simultaneous assessment of perfusion and <sup>18</sup>F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of conceptGiorgos Papanastasiou, Mark A Rodrigues, Chengjia Wang, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 17, 2018
Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary <sup>18</sup>F-NaF PET ImagingMartin Lyngby Lassen, Jacek Kwiecinski, Sebastien Cadet, et al.
Computational and Structural Biotechnology Journal|January 25, 2024
A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI dataDavid M Morris, Chengjia Wang, Giorgos Papanastasiou, et al.
Colloids and Surfaces. B, Biointerfaces|March 22, 2022
Bimetallic gold-platinum nanoparticles as a drug delivery system coated with a new drug to target glioblastomaAnastasia P Stavropoulou, Maria Theodosiou, Elias Sakellis, et al.
Frontiers in Medicine|July 1, 2021
Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 InfectionsHuijing Ma, Qinghao Ye, Weiping Ding, et al.
Nanomedicine (London, England)|September 11, 2020
Tri-modal imaging of gold-dotted magnetic nanoparticles for magnetic resonance imaging, computed tomography and intravascular ultrasound: an <i>in vitro</i> studyJoel Kuhn, Giorgos Papanastasiou, Cheuk-Wai Tai, et al.
Journal of Cardiovascular Translational Research|August 16, 2017
Exploring the Biological and Mechanical Properties of Abdominal Aortic Aneurysms Using USPIO MRI and Peak Tissue Stress: A Combined Clinical and Finite Element StudyNoel Conlisk, Rachael O Forsythe, Lyam Hollis, et al.
Nature Communications|September 23, 2025
Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK BiobankWei Xu, Ines Mesa-Eguiagaray, David M Morris, et al.
Pageof 3