Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Anthony E. Samir"'
Autor:
David T. Fetzer, Ivan M. Rosado-Mendez, Michael Wang, Michelle L. Robbin, Arinc Ozturk, Keith A. Wear, Juvenal Ormachea, Timothy A. Stiles, J. Brian Fowlkes, Timothy J. Hall, Anthony E. Samir
Publikováno v:
Radiology. 305(2)
Excessive liver fat (steatosis) is now the most common cause of chronic liver disease worldwide and is an independent risk factor for cirrhosis and associated complications. Accurate and clinically useful diagnosis, risk stratification, prognosticati
Autor:
Theodore T. Pierce, Anthony E. Samir
Publikováno v:
AJR. American journal of roentgenology. 219(3)
Autor:
Lei Chen, Minda Chen, Qian Li, Viksit Kumar, Yu Duan, Kevin A. Wu, Theodore T. Pierce, Anthony E. Samir
Publikováno v:
Ultrasound in Medicine & Biology. 48:1547-1554
To develop an ultrasound-based machine learning classifier to diagnose benignity within indeterminate thyroid nodules (ITNs) by fine-needle aspiration, 180 patients with 194 ITNs (Bethesda classes III, IV and V) undergoing surgery over a 5-y study pe
Publikováno v:
Abdominal Radiology. 47:3037-3050
Elastography has emerged as a preferred non-invasive imaging technique for the clinical assessment of liver fibrosis. Elastography methods provide liver stiffness measurement (LSM) as a surrogate quantitative biomarker for fibrosis burden in chronic
Autor:
Brian S. Garra, Pengfei Song, Timothy J. Hall, Todd N. Erpelding, Stephen J. Rosenzweig, Stephen A. McAleavey, Mark L. Palmeri, Matthew W. Urban, Richard L. Ehman, Gilles Guenette, Glen McLaughlin, Mathieu Couade, Véronique Miette, Shigao Chen, Ted Lynch, Michael MacDonald, Hua Xie, Paul L. Carson, Manish Dhyani, D. Cody Morris, Lindsey C. Carlson, Yoko Okamura, Derek Y. Chan, Yufeng Deng, Arinc Ozturk, Michael H. Wang, Zaegyoo Hah, Nancy A. Obuchowski, Richard G. Barr, Ned C. Rouze, Jun Chen, Anthony E. Samir, Vijay Shamdasani, Shana Fielding, Keith A. Wear, Andy Milkowski, David J. Napolitano, Bo Qiang, Kathryn R. Nightingale, Ravi Managuli, Siyun Yang, Gee Albert, Kingshuk Roy Choudhury, Yuling Chen
Publikováno v:
J Ultrasound Med
OBJECTIVES—: To quantify the bias of shear wave speed (SWS) measurements between different commercial ultrasonic shear elasticity systems and a magnetic resonance elastography (MRE) system in elastic and viscoelastic phantoms. METHODS—: Two elast
Autor:
Michael A. Blake, Joseph F. Simeone, Mark Anderson, Peter F. Hahn, Matthew D. Li, Michael S. Gee, Susanna I. Lee, Avinash Kambadakone, Amirkasra Mojtahed, Aoife Kilcoyne, Sanjay Saini, Mukesh G. Harisinghani, George C. Velmahos, Theodore T. Pierce, Anthony E. Samir, Debra A. Gervais, David A. Rosman, Denston Carey, Joseph Misdraji, Rajesh Bhayana, Avik Som, Pari V. Pandharipande, Onofrio A. Catalano
Publikováno v:
Radiology
Background Angiotensin-converting enzyme 2, a target of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), demonstrates its highest surface expression in the lung, small bowel, and vasculature, suggesting abdominal viscera may be susceptib
Autor:
Qian Li, Xiaoyan Xie, Manxia Lin, Yu Duan, Ming Kuang, Nathaniel D. Mercaldo, Anthony E. Samir
Publikováno v:
European Radiology. 30:4741-4751
To develop a contrast-enhanced ultrasound (CEUS)–based model for differentiating cirrhotic liver lesions and for active surveillance of hepatocellular carcinoma (HCC). Patients with focal liver lesions (FLLs) with biopsy/resection-proven pathology
Publikováno v:
AJR Am J Roentgenol
OBJECTIVE: Data engineering is the foundation of effective machine learning model development and research. The accuracy and clinical utility of machine learning models fundamentally depend on the quality of the data used for model development. This
Publikováno v:
Ultrasound Med Biol
To evaluate the value of pre-stenting and early post-stenting (
Autor:
Masoud Baikpour, Anthony E. Samir, Ashraf Thabet, Roland McConnell, Yu Duan, Wenli Cai, Colin J. McCarthy, Feixiang Xiang, Joseph R. Grajo, Qian Li, P.J. White, Long Yang
Publikováno v:
Ultrasound Quarterly. 35:61-67
We developed a method to create customizable phantoms suitable for endocavitary imaging and interventional research, based on the fabrication of an acrylic phantom mold, and development of a phantom matrix composed of gelatin, agar, graphite particle