Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography

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Cardiac imaging: working towards fully-automated machine analysis & interpretation New Trends in Quantitative Nuclear Cardiology Methods

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Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography

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Structured learning algorithm ...... omputed tomography angiography

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Structured learning algorithm ...... omputed tomography angiography

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Structured learning algorithm ...... omputed tomography angiography

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Structured learning algorithm ...... omputed tomography angiography

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Structured learning algorithm ...... omputed tomography angiography

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Structured learning algorithm ...... omputed tomography angiography

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Structured learning algorithm ...... omputed tomography angiography

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C-C Jay Kuo

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Daniel S Berman

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Debiao Li

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Dongwoo Kang

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Hyunsuk Ko

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Piotr J Slomka

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Reza Arsanjani

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Ryo Nakazato

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P2860

Automated computer-aided stenosis detection at coronary CT angiography: initial experience

Diagnosis of coronary stenosis with CT angiography comparison of automated computer diagnosis with expert readings

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimeter multidetector spiral computed tomography: a segment-based comparison with intravascular ultrasound.

Randomized comparison of 64-slice single- and dual-source computed tomography coronary angiography for the detection of coronary artery disease.

Toward the automatic detection of coronary artery calcification in non-contrast computed tomography data.

Application of machine learning algorithms to predict coronary artery calcification with a sibship-based design.

Computer-aided simple triage (CAST) for coronary CT angiography (CCTA).

Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization.

Learning curve for coronary CT angiography: what constitutes sufficient training?

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scholarly article

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10.1117/1.JMI.2.1.014003

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Damini Dey

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2015-01-01T00:00:00Z

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Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography

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P2860

P2860

Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography

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P1433

P1476

P2093

P2860

P304

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P356

P433

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P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

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P433

P478

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P577

P698

P932