Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation

scientific article

Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.2967/JNUMED.116.179911
P932PMC publication ID5450369
P698PubMed publication ID27811121

P50authorYoav ArnsonQ57059505
Daniel S BermanQ89697826
Piotr J SlomkaQ89794201
Mathieu RubeauxQ114442182
Julian BetancurQ114442186
Leandro SlipczukQ114515068
Damini DeyQ40448199
Guido GermanoQ56517381
P2093author name stringChih-Jen Lin
Tobias A Fuchs
Dominik C Benz
Philipp A Kaufmann
Yuka Otaki
P2860cites workFeasibility of low-dose coronary CT angiography: first experience with prospective ECG-gatingQ61455140
Automated quantification of myocardial perfusion SPECT using simplified normal limitsQ62492869
Nuclear myocardial perfusion imaging with a novel cadmium-zinc-telluride detector SPECT/CT device: first validation versus invasive coronary angiographyQ84563079
Statistical methods for assessing agreement between two methods of clinical measurementQ26778461
Effects of radiation exposure from cardiac imaging: how good are the data?Q27022166
pROC: an open-source package for R and S+ to analyze and compare ROC curvesQ30050695
Automated quality control for segmentation of myocardial perfusion SPECT.Q34112498
Automatic and visual reproducibility of perfusion and function measures for myocardial perfusion SPECT.Q34341694
Transient ischemic dilation: a powerful diagnostic and prognostic finding of stress myocardial perfusion imagingQ35017382
Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.Q36876859
Corridor4DM: the Michigan method for quantitative nuclear cardiologyQ36902439
Advances in technical aspects of myocardial perfusion SPECT imagingQ37401186
Prediction error estimation: a comparison of resampling methodsQ40421222
A new algorithm for the quantitation of myocardial perfusion SPECT. I: technical principles and reproducibilityQ41730636
Validation of a new contrast material protocol adapted to body surface area for optimized low-dose CT coronary angiography with prospective ECG-triggeringQ43174196
Ultrafast nuclear myocardial perfusion imaging on a new gamma camera with semiconductor detector technique: first clinical validationQ43182353
Nuclear myocardial perfusion imaging with a cadmium-zinc-telluride detector technique: optimized protocol for scan time reductionQ43222639
First experience with monochromatic coronary computed tomography angiography from a 64-slice CT scanner with Gemstone Spectral Imaging (GSI).Q44973102
High-speed myocardial perfusion imaging initial clinical comparison with conventional dual detector anger camera imagingQ46056360
Quantitation in gated perfusion SPECT imaging: the Cedars-Sinai approachQ46711287
Quantification of nuclear cardiac images: the Yale approach.Q50942330
Downstream resource utilization following hybrid cardiac imaging with an integrated cadmium-zinc-telluride/64-slice CT device.Q53187415
The increasing role of quantification in clinical nuclear cardiology: the Emory approach.Q53469930
P4510describes a project that usesmachine learningQ2539
P433issue6
P407language of work or nameEnglishQ1860
P921main subjectmachine learningQ2539
automationQ184199
P304page(s)961-967
P577publication date2016-11-03
P1433published inThe Journal of Nuclear MedicineQ7743608
P1476titleAutomatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation
P478volume58

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cites work (P2860)
Q91823652Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study
Q52650704Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.
Q88427573Machine learning for nuclear cardiology: The way forward
Q57193219New Trends in Quantitative Nuclear Cardiology Methods
Q53025051Novel SPECT Technologies and Approaches in Cardiac Imaging.
Q99709271Positron Emission Tomography for Response Evaluation in Microenvironment-Targeted Anti-Cancer Therapy
Q45944746Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

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