Centro asistencial
Galaria - Empresa Pública de Servizos Sanitarios
Publicacións (12) Publicacións nas que participase algún/ha investigador/a
2019
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A simplified formula to calculate fractional flow reserve in sequential lesions circumventing the measurement of coronary wedge pressure: The APIS-S pilot study
Cardiology Journal, Vol. 26, Núm. 4, pp. 310-321
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A volumetric delta TCP tool to quantify treatment outcome effectiveness based on biological parameters and different dose distributions
IFMBE Proceedings
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An EGS Monte Carlo model for Varian TrueBEAM treatment units: Commissioning and experimental validation of source parameters
Physica Medica, Vol. 64, pp. 81-88
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Challenging treatment of in-stent restenosis in a coronary bifurcation by implantation of a bioresorbable scaffold under optical coherence tomography guidance
Cardiology Journal
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Extensive coronary erosion after cocaine consumption treated with branch-per-branch thrombus aspiration
Cardiology Journal, Vol. 26, Núm. 1, pp. 91-92
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Facial Donor Restoration: One-Step Technique
Journal of Oral and Maxillofacial Surgery, Vol. 77, Núm. 9, pp. 1905.e1-1905.e8
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Invasive Versus Conservative Strategy in Frail Patients With NSTEMI: The MOSCA-FRAIL Clinical Trial Study Design
Revista Espanola de Cardiologia, Vol. 72, Núm. 2, pp. 154-159
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Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
American Journal of Human Genetics, Vol. 104, Núm. 1, pp. 21-34
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Quality indicators in radiation oncology: proposal of the Spanish Society of Radiation Oncology (SEOR) for a continuous improvement of the quality of care in oncology
Clinical and Translational Oncology, Vol. 21, Núm. 4, pp. 519-533
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Quantitative flow ratio en infarto de miocardio para la evaluación de lesiones en arterias no culpables.: Estudio piloto QIMERA
REC: Interventional Cardiology, Vol. 1, Núm. 1, pp. 13-20
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Quantitative flow ratio in myocardial infarction for the evaluation of non-infarct-related arteries. The QIMERA pilot study
REC: Interventional Cardiology, Vol. 1, Núm. 1, pp. 13-20
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The Conceptual Design of a Novel Workstation for Seizure Prediction Using Machine Learning with Potential eHealth Applications
IEEE Journal of Translational Engineering in Health and Medicine, Vol. 7