Luis Juarez Orozco

Juarez-Orozco Luis Eduardo, Niemi Mikael, Yeung Ming Wai, Benjamins Jan Walter, Maaniitty Teemu, Teuho Jarmo, Saraste Antti, Knuuti Juhani, van der Harst Pim, Klén Riku

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies (2022)

Current Cardiology Reports

Juarez-Orozco Luis Eduardo, Klén Riku, Niemi Mikael, Ruijsink Bram, Daquarti Gustavo, van Es Rene, Benjamins Jan-Walter, Yeung Ming Wai, van der Harst Pim, Knuuti Juhani

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD (2022)

Journal of Nuclear Cardiology

Nesterov Sergey V., Sciagrà Roberto, Orozco Luis Eduardo Juarez, Prior John O., Settimo Leonardo, Han Chunlei, Deshayes Emmanuel, deKemp Robert A., Ryzhkova Darja V., Gwet Kilem L., Knuuti Juhani M.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Validation of the European Society of Cardiology pre-test probability model for obstructive coronary artery disease (2021)

European Heart Journal

Winther Simon, Schmidt Samuel Emil, Rasmussen Laust Dupont, Juárez Orozco Luis Eduardo, Steffensen Flemmin Hald, Bøtker Hans Erik, Knuuti Juhani, Bøttcher Morten; on behalf of The Western Denmark Cardiac CT Study Group

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Luis

Juarez Orozco

Ota yhteyttä

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The reach and leading end of modern machine learning‐based artificial intelligence in cardiovascular medicine (2025)

Expanding interpretability through complexity reduction in machine learning‐based modelling of cardiovascular disease: A myocardial perfusion imaging PET/CT prognostic study (2025)

The Relevance and Potential Role of Orbital Fat in Inflammatory Orbital Diseases: Implications for Diagnosis and Treatment (2024)

Exploring PET-derived geometric indexes in ischemic heart disease: Is more in store? (2024)

Exploring PET-derived geometric indexes in ischemic heart disease - Is more in store? (2024)

Machine Learning in Practice—Evaluation of Clinical Value, Guidelines (2023)

Hybridizing machine learning in survival analysis of cardiac PET/CT imaging (2023)

Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies (2022)

One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD (2022)

Validation of the European Society of Cardiology pre-test probability model for obstructive coronary artery disease (2021)