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Anthony E. Samir
Researcher at Harvard University
Publications - 126
Citations - 3280
Anthony E. Samir is an academic researcher from Harvard University. The author has contributed to research in topics: Elastography & Computer science. The author has an hindex of 24, co-authored 107 publications receiving 2348 citations. Previous affiliations of Anthony E. Samir include Partners HealthCare.
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Journal ArticleDOI
Current Applications and Future Impact of Machine Learning in Radiology.
Garry Choy,Omid Khalilzadeh,Omid Khalilzadeh,Mark Michalski,Synho Do,Anthony E. Samir,Oleg S. Pianykh,J. Raymond Geis,Pari V. Pandharipande,James A. Brink,Keith J. Dreyer +10 more
TL;DR: Examples of current applications of machine learning and artificial intelligence techniques in diagnostic radiology and the future impact and natural extension of these techniques in radiology practice are discussed.
Journal ArticleDOI
Abdominal Imaging Findings in COVID-19: Preliminary Observations.
Rajesh Bhayana,Avik Som,Matthew D. Li,Denston Carey,Mark Anderson,Michael A. Blake,Onofrio A. Catalano,Michael S. Gee,Peter F. Hahn,Mukesh G. Harisinghani,Aoife Kilcoyne,Susanna I. Lee,Amirkasra Mojtahed,Pari V. Pandharipande,Theodore T. Pierce,David A. Rosman,Sanjay Saini,Anthony E. Samir,Joseph F. Simeone,Debra A. Gervais,George C. Velmahos,Joseph Misdraji,Avinash Kambadakone +22 more
TL;DR: Bowel abnormalities and gallbladder bile stasis were common findings on abdominal images of patients with coronavirus disease 2019, and these findings were associated with age and intensive care unit (ICU) admission.
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Current status of imaging in nonalcoholic fatty liver disease
TL;DR: The aim of this article is to review the current status of imaging methods for NAFLD risk stratification and management, including their diagnostic accuracy, limitations, and practical applicability.
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Shear-wave elastography for the estimation of liver fibrosis in chronic liver disease: determining accuracy and ideal site for measurement.
Anthony E. Samir,Manish Dhyani,Abhinav Vij,Atul K. Bhan,Elkan F. Halpern,Jorge Méndez-Navarro,Kathleen E. Corey,Raymond T. Chung +7 more
TL;DR: SWE estimates of liver stiffness obtained from the right upper lobe showed the best correlation with liver fibrosis severity and can potentially be used as a noninvasive test to differentiate intermediate degrees of Liver fibrosis in patients with liver disease.
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Machine learning for medical ultrasound: status, methods, and future opportunities.
Laura J. Brattain,Brian A. Telfer,Manish Dhyani,Manish Dhyani,Joseph R. Grajo,Anthony E. Samir +5 more
TL;DR: Leading machine learning approaches and research directions in US are reviewed, with an emphasis on recent ML advances, and an outlook on future opportunities for ML techniques to further improve clinical workflow and US-based disease diagnosis and characterization is presented.