Luis Juarez Orozco

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

European Journal of Clinical Investigation

Juarez‐Orozco, Luis Eduardo

(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä )

Artificial intelligence in nuclear cardiology: Technical perspectives, strategic directions, and recommendations from an IAEA expert working group (2025)

Seminars in Nuclear Medicine

Wiefels, Christiane; Juárez-Orozco, Luis Eduardo; Craviolatti, Pietro Selemo; Diahiliev, Oleksandr; Eskander, Amir; Giubbini, Raffaele; Milan, Elisa; Zhou, Weihua; Karthikeyan, Ganesan; Jimenez-Heffernan, Amelia; Peix, Amalia; Apostol, Angelin; Brink, Anita; Dondi, Maurizio; Paez, Diana

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

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

European Journal of Clinical Investigation

Lehtonen, Eero; Teuho, Jarmo; Vatandoust, Monire; Knuuti, Juhani; Knol, Remco J. J.; van der Zant, Friso M.; Juarez-Orozco, Luis Eduardo; Klen, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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

Journal of Nuclear Cardiology

Juarez-Orozco, Luis Eduardo

(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä )

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

Dadson, Prince; Ngum, Peter; Juarez-Orozco, Luis Eduardo; Ntodie, Michael; Loba, Piotr

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

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

Journal of Nuclear Cardiology

Juarez-Orozco, Luis Eduardo

(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä )

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

Juarez-Orozco, Luis Eduardo; Ruijsink, Bram; Yeung, Ming Wai; Benjamins, Jan Walter; van der Harst, Pim

(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa)

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

Journal of Nuclear Cardiology

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))

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Juarez Orozco

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

Artificial intelligence in nuclear cardiology: Technical perspectives, strategic directions, and recommendations from an IAEA expert working group (2025)

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

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

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)

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)