Julián Betancur - Concepedia

Author

Julián Betancur

Also Known As

Betancur, Julian, Betancur, Julián Eduardo, J Betancur, J. Betancur, Julian Betancur, Julián Betancur, Julián Eduardo Betancur

Publications

Citations

H-Index

Concepts

All Affiliations

Cedars-Sinai Medical Center University Hospital of Zurich Providence Sacred Heart Medical Center Assuta Medical Center Brigham and Women's Hospital

About

Julián Betancur is an author at Cedars-Sinai Medical Center specializing in engineering, cardiovascular imaging, and public health.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	917
2	Public Health	6	6	708
3	Medicine	5	5	665
4	Health Sciences	1	1	16
5	Biomedical Engineering	1	1	109

Julián Betancur

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT Julián Betancur, Frédéric Commandeur, M Esmaeili Motlagh, JACC. Cardiovascular imaging EngineeringMachine LearningCardiovascular DiseaseComputational MedicinePredictive Analytics	2018	338
Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning Julián Betancur, Yuka Otaki, Manish Motwani, JACC. Cardiovascular imaging Heart FailureEngineeringMachine LearningData ScienceMedical Imaging	2017	228
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets Catalina Tobon‐Gomez, Arjan J. Geers, Jürgen Weese, IEEE Transactions on Medical Imaging Computed TomographyImage ReconstructionEngineeringMri DatasetsStandardisation Framework	2015	201
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT Frédéric Commandeur, Markus Goeller, Julián Betancur, IEEE Transactions on Medical Imaging	2018	193
Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study Damini Dey, Sara Gaur, Piotr J. Slomka, European Radiology	2018	165
Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study Julián Betancur, Lien-Hsin Hu, Frédéric Commandeur, Journal of Nuclear Medicine	2018	150
Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT) Piotr J. Slomka, Julián Betancur, Joanna X. Liang, Journal of Nuclear Cardiology Refine SpectEngineeringMedical ImagingCardiovascular DiseaseFast Myocardial Perfusion	2018	109
Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths Rine Nakanishi, Piotr J. Slomka, Richard Ríos, JACC. Cardiovascular imaging Health InformaticsMedicinePredictive AnalyticsPrognosisCac Assessments	2020	106
Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry Lien-Hsin Hu, Julián Betancur, Tali Sharir, European Heart Journal - Cardiovascular Imaging	2019	97
5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects Yuka Otaki, Julián Betancur, Tali Sharir, JACC. Cardiovascular imaging Subtle Perfusion DefectsHeart FailureCardiovascular Disease5-Year Prognostic ValueDiagnosis	2019	92

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