Julián Betancur
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Deep learning for prediction of obstructive disease from fast myocardial perfusion SPECT: a multicenter study
J Betancur, F Commandeur, M Motlagh, T Sharir, AJ Einstein, S Bokhari, ...
JACC: Cardiovascular Imaging 11 (11), 1654-1663, 2018
Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets
IEEE Transactions on Medical Imaging, 1-1, 2015
Prognostic value of combined clinical and myocardial perfusion imaging data using machine learning
J Betancur, Y Otaki, M Motwani, MB Fish, M Lemley, D Dey, H Gransar, ...
JACC: Cardiovascular Imaging 11 (7), 1000-1009, 2018
Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study
D Dey, S Gaur, KA Ovrehus, PJ Slomka, J Betancur, M Goeller, MM Hell, ...
European radiology 28 (6), 2655-2664, 2018
Deep learning for quantification of epicardial and thoracic adipose tissue from non-contrast CT
F Commandeur, M Goeller, J Betancur, S Cadet, M Doris, X Chen, ...
IEEE transactions on medical imaging 37 (8), 1835-1846, 2018
Deep learning analysis of upright-supine high-efficiency SPECT myocardial perfusion imaging for prediction of obstructive coronary artery disease: a multicenter study
J Betancur, LH Hu, F Commandeur, T Sharir, AJ Einstein, MB Fish, ...
Journal of Nuclear Medicine 60 (5), 664-670, 2019
Rationale and design of the RE gistry of F ast Myocardial Perfusion I maging with NE xt generation SPECT (REFINE SPECT)
PJ Slomka, J Betancur, JX Liang, Y Otaki, LH Hu, T Sharir, S Dorbala, ...
Journal of Nuclear Cardiology 27 (3), 1010-1021, 2020
Automatic valve plane localization in myocardial perfusion SPECT/CT by machine learning: anatomic and clinical validation
J Betancur, M Rubeaux, TA Fuchs, Y Otaki, Y Arnson, L Slipczuk, ...
Journal of Nuclear Medicine 58 (6), 961-967, 2017
5-year prognostic value of quantitative versus visual MPI in subtle perfusion defects: results from REFINE SPECT
Y Otaki, J Betancur, T Sharir, LH Hu, H Gransar, JX Liang, PN Azadani, ...
Cardiovascular Imaging 13 (3), 774-785, 2020
Segmentación de frutos de café mediante métodos de crecimiento de regiones.
JAB Acevedo, FAP Ortiz, GAO Londoño
Revista Facultad Nacional de Agronomía Medellín 59 (1), 3311, 2006
Digital image processing for classification of coffee cherries
Z Sandoval, F Prieto, J Betancur
2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, 417-421, 2010
Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry
LH Hu, J Betancur, T Sharir, AJ Einstein, S Bokhari, MB Fish, TD Ruddy, ...
European Heart Journal-Cardiovascular Imaging 21 (5), 549-559, 2020
Machine learning in predicting coronary heart disease and cardiovascular disease events: results from the multi-ethnic study of atherosclerosis (mesa)
R Nakanishi, D Dey, F Commandeur, P Slomka, J Betancur, H Gransar, ...
Journal of the American College of Cardiology 71 (11S), A1483-A1483, 2018
Multi-atlas-based segmentation of the left atrium and pulmonary veins
Z Sandoval, J Betancur, JL Dillenseger
International Workshop on Statistical Atlases and Computational Models of …, 2013
Active contour-based segmentation of coffee cherries images
J Betancur, F Prieto
2008 9th International Conference on Signal Processing, 2738-2741, 2008
Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study. JACC Cardiovasc Imaging. 2018; 11: 1654-63
J Betancur, F Commandeur, M Motlagh, T Sharir, AJ Einstein, S Bokhari
Spatio-temporal Registration of 2D US and 3D MR Images for the Characterization of Hypertrophic Cardiomyopathy
J Betancur, F Schnell, A Simon, F Tavard, E Donal, A Hernández, ...
International Conference on Functional Imaging and Modeling of the Heart …, 2013
Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: a report from REFINE SPECT registry
LH Hu, T Sharir, RJH Miller, AJ Einstein, MB Fish, TD Ruddy, S Dorbala, ...
Journal of Nuclear Cardiology 27 (4), 1180-1189, 2020
Prognostic value of combined clinical and myocardial perfusion imaging data using machine learning. JACC Cardiovasc Imaging. 2017
J Betancur, Y Otaki, M Motwani, M Fish, M Lemley, D Dey
doi. org/10.1016/j. jcmg 24, 2017
Synchronization and Registration of cine Magnetic Resonance and dynamic Computed Tomography images of the Heart
M Betancur, J. and Simon, A. and Langella, B. and Leclercq, C. and Hernandez ...
Biomedical and Health Informatics, IEEE Journal of 99 (99), 1-1, 2015
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