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Statistical inference / M-estimators / Summary statistics / Maximum likelihood / Bias of an estimator / Rice distribution / Mean squared error / Estimator / Normal distribution / Statistics / Estimation theory / Statistical theory


Parameter estimation from magnitude MR images J. Sijbers, A. J. den Dekker, E. Raman, and D. Van Dyck
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Document Date: 2011-12-03 07:35:50


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Tokyo / Vancouver / Cambridge / Chichester / London / New York / Newport / /

Company

Mead / W. H. Press / Neural Networks / Kendall / Medical Physics Publishing Corporation / McGraw-Hill / C. University Press / W. T. Vettering S. A. / /

Country

Japan / United Kingdom / Spain / /

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Facility

Introduction Complex / University of Antwerp Groenenborgerlaan / /

IndustryTerm

conventional spin-echo imaging / nuclear magnetic resonance imaging / parallel algorithm / imaging / image processing literature / /

NaturalFeature

Newport Beach / /

Organization

ML MSE / E. Raman / and D. Van Dyck Department of Physics / Pattern Analysis and Machine Intelligence / University of Antwerp Groenenborgerlaan / /

Person

J. Sijbers / J. Van Audekerke / R.L. Dixon / E. Raman / M. Verhoye / P. Scheunders / Madison / D. Van Dyck / A. J. den Dekker / A. Van den Bos / /

Position

editor / Prime Minister / Clinical Medical Physicist / General / /

ProgrammingLanguage

ML / K / /

ProvinceOrState

Wisconsin / New York / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Magnetic Resonance Imaging / /

Technology

Remote Sensing / Magnetic Resonance Imaging / simulation / Image Processing / FLASH / PDF / MRI / Medical Imaging / /

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