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Doctor Luis Eduardo Juarez-Orozco

University Medical Center Utrecht, Utrecht (Netherlands (The))
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Biography
Dr. Juarez-Orozco was born in Mexico City. He obtained his MD degree in the National Autonomous University of Mexico and his PhD in the University of Groningen, The Netherlands. He has always been fascinated by the heart's dynamics and has invested his research efforts in advancing the characterisation of heart disease through non-invasive and invasive methods. As research fellow in the Turku PET Centre in Finland and in the University Medical Center Groningen in the Netherlands, he concentrated in incorporating machine learning-based AI in the prediction outcomes in coronary artery disease. Presently, he is following the clinical path towards specialisation in cardiology in the University Medical Center Utrecht in combination with AI research.
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Contributor content

Feature importance explanation of prosthetic valve endocarditis through machine learning via SHAP
Presentation
Feature importance explanation of prosthetic valve endocarditis through machine learning via SHAP
Impact of a decreasing pre-test probability on the performance of diagnostic tests for coronary artery disease
Presentation
Impact of a decreasing pre-test probability on the performance of diagnostic tests for coronary artery disease
Deep learning in quantitative PET myocardial perfusion imaging to predict adverse cardiovascular events
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Deep learning in quantitative PET myocardial perfusion imaging to predict adverse cardiovascular events
Refining the long-term prognostic value of hybrid PET/CT through machine learning
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Refining the long-term prognostic value of hybrid PET/CT through machine learning
Machine learning improves the long-term prognostic value of sequential cardiac PET/CT
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Machine learning improves the long-term prognostic value of sequential cardiac PET/CT
The prognostic value of deep learning in PET myocardial perfusion for cardiovascular events
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The prognostic value of deep learning in PET myocardial perfusion for cardiovascular events
Ventricular synchrony is not determined by myocardial perfusion in heart failure: A 13N-ammonia PET study
Presentation
Ventricular synchrony is not determined by myocardial perfusion in heart failure: A 13N-ammonia PET study
Improving the value of clinical variables in the assessment of cardiovascular risk using Artificial Neural Networks
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Improving the value of clinical variables in the assessment of cardiovascular risk using Artificial Neural Networks
A systematic review on the role of absolute myocardial blood flow evaluation with positron emission tomography in predicting cardiovascular events
Presentation
A systematic review on the role of absolute myocardial blood flow evaluation with positron emission tomography in predicting cardiovascular events

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