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Michelle C. Williams

University of Edinburgh - Centre for Cardiovascular Science

Edinburgh

United Kingdom

  • University of Edinburgh - Centre for Cardiovascular Science

SCHOLARLY PAPERS

2

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Scholarly Papers (2)

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1.

Deep Learning From Coronary Computed Tomography Angiography for Atherosclerotic Plaque and Stenosis Quantification and Cardiac Risk Prediction

Number of pages: 31 Posted: 19 Aug 2021
Andrew Lin, Nipun Manral, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Caroline Park, Yuka Otaki, Mhairi Doris, Alan C. Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash Shanbhag, Markus Goeller, Mohamed Marwan, Heidi Gransar, Balaji K. Tamarappoo, Sebastien Cadet, Stephan Achenbach, Stephen J. Nicholls, Dennis TL Wong, Daniel S. Berman, Marc Dweck, David E. Newby, Michelle C. Williams, Piotr Slomka and Damini Dey
Cedars Sinai Medical Center - Biomedical Imaging Research Institute, Cedars Sinai Medical Center - Biomedical Imaging Research Institute, Cedars Sinai Medical Center - Biomedical Imaging Research Institute, Cedars Sinai Medical Center - Artificial Intelligence in Medicine Program, Showa University - Division of Cardiology, Cedars Sinai Medical Center - Department of Imaging and Medicine, Cedars Sinai Medical Center - Artificial Intelligence in Medicine Program, Cedars Sinai Medical Center - Biomedical Imaging Research Institute, Cedars Sinai Medical Center - Biomedical Imaging Research Institute, Cedars Sinai Medical Center - Biomedical Imaging Research Institute, Cedars Sinai Medical Center - Department of Imaging and Medicine, University of Edinburgh - Centre for Cardiovascular Science, Cedars Sinai Medical Center - Department of Imaging and Medicine, Cedars Sinai Medical Center - Department of Imaging and Medicine, Cedars Sinai Medical Center - Department of Imaging and Medicine, Cedars Sinai Medical Center - Department of Imaging and Medicine, Cedars Sinai Medical Center - Department of Imaging and Medicine, Cedars Sinai Medical Center - Artificial Intelligence in Medicine Program, University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg - Department of Cardiology, University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg - Department of Cardiology, Cedars Sinai Medical Center - Department of Imaging and Medicine, Cedars Sinai Medical Center - Department of Imaging and Medicine, Cedars Sinai Medical Center - Department of Imaging and Medicine, University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg - Department of Cardiology, Monash University - Monash Cardiovascular Research Centre, Monash University - Monash Cardiovascular Research Centre, Cedars Sinai Medical Center - Department of Imaging and Medicine, University of Edinburgh - Centre for Cardiovascular Science, University of Edinburgh - Centre for Cardiovascular Science, University of Edinburgh - Centre for Cardiovascular Science, Cedars Sinai Medical Center - Artificial Intelligence in Medicine Program and Cedars Sinai Medical Center - Biomedical Imaging Research Institute
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2.

National Trends in Coronary Artery Disease Imagingassociations with Health Care Outcomes and Costs

Number of pages: 40 Posted: 18 Oct 2021
Jonathan Weir-McCall, Michelle C. Williams, Anoop Shah, Giles Roditi, James Rudd, David E. Newby and Edward Nicol
University of Cambridge, University of Edinburgh - Centre for Cardiovascular Science, London School of Hygiene & Tropical Medicine, University of Glasgow, University of Cambridge, University of Edinburgh - Centre for Cardiovascular Science and King’s College London
Downloads 92 (730,864)

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Coronary artery disease, Computed Tomography Angiography, Practice Guidelines as Topic, Health Care Economics, Interrupted Time Series Analysis