Speaker illustration

Doctor Luis Eduardo Juarez-Orozco

University Medical Center Utrecht, Utrecht (Netherlands (The))

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.

Impact of a decreasing pre-test probability on the performance of diagnostic tests for coronary artery disease

Event: ICNC 2019

Topic: Cross-Modality and Multi-Modality Imaging Topics

Session: Clinical Case Poster session III

Thumbnail

Deep learning in quantitative PET myocardial perfusion imaging to predict adverse cardiovascular events

Event: ICNC 2019

Topic: Positron Emission Tomography (PET)

Session: Moderated Posters 4

Thumbnail

Refining the long-term prognostic value of hybrid PET/CT through machine learning

Event: ICNC 2019

Topic: Hybrid and Fusion Imaging

Session: Young Investigator Awards

Thumbnail

Machine learning improves the long-term prognostic value of sequential cardiac PET/CT

Event: ESC Congress 2018

Topic: Cross-Modality and Multi-Modality Imaging Topics

Session: Clinical importance of quantification in imaging

Thumbnail

The prognostic value of deep learning in PET myocardial perfusion for cardiovascular events

Event: ESC Congress 2018

Topic: Positron Emission Tomography (PET)

Session: Nuclear perfusion imaging: "back to the future"

Thumbnail

Ventricular synchrony is not determined by myocardial perfusion in heart failure: A 13N-ammonia PET study

Event: ESC CONGRESS 2017

Topic: Nuclear cardiology

Session: Echocardiography/Doppler

Thumbnail

Improving the value of clinical variables in the assessment of cardiovascular risk using Artificial Neural Networks

Event: ESC CONGRESS 2017

Topic: Cardiovascular risk

Session: Cardiovascular risk prediction models: for improvement?

Thumbnail

A systematic review on the role of absolute myocardial blood flow evaluation with positron emission tomography in predicting cardiovascular events

Event: ESC CONGRESS 2016

Topic: Positron Emission Tomography (PET)

Session: Best Posters in cardiac nuclear imaging

Thumbnail

This platform is supported by

logo Novo Nordisk