Luis Juarez Orozco
MD, PhD
lejuor@utu.fi |
- Artificial intelligence in nuclear cardiology: Technical perspectives, strategic directions, and recommendations from an IAEA expert working group (2025)
- Seminars in Nuclear Medicine
- 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
- The reach and leading end of modern machine learning‐based artificial intelligence in cardiovascular medicine (2025)
- European Journal of Clinical Investigation
- The Relevance and Potential Role of Orbital Fat in Inflammatory Orbital Diseases: Implications for Diagnosis and Treatment (2025)
- Ophthalmology and Therapy
- Exploring PET-derived geometric indexes in ischemic heart disease - Is more in store? (2024)
- Journal of Nuclear Cardiology
- Hybridizing machine learning in survival analysis of cardiac PET/CT imaging (2023)
- Journal of Nuclear Cardiology
- Machine Learning in Practice—Evaluation of Clinical Value, Guidelines (2023) Clinical Applications of Artificial Intelligence in Real-World Data Juarez-Orozco, Luis Eduardo; Ruijsink, Bram; Yeung, Ming Wai; Benjamins, Jan Walter; van der Harst, Pim
- Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies (2022)
- Current Cardiology Reports
- Myocardial perfusion quantification with Rb-82 PET: good interobserver agreement of Carimas software on global, regional, and segmental levels (2022)
- Annals of Nuclear Medicine
- 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



