Juan Luis
Gutiérrez Chico
Shanghai Jiao Tong University
Shangai, ChinaPublicacións en colaboración con investigadores/as de Shanghai Jiao Tong University (24)
2023
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Advances in Diagnosis, Therapy, and Prognosis of Coronary Artery Disease Powered by Deep Learning Algorithms
JACC: Asia, Vol. 3, Núm. 1, pp. 1-14
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Angiography-based coronary flow reserve: The feasibility of automatic computation by artificial intelligence
Cardiology Journal, Vol. 30, Núm. 3, pp. 369-378
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Automatic assessment of collaterals physiology in chronic total occlusions by means of artificial intelligence
Cardiology Journal, Vol. 30, Núm. 5, pp. 685-695
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Comprehensive appraisal of cardiac motion artefact in optical coherence tomography
Cardiology Journal, Vol. 30, Núm. 4, pp. 543-555
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Diagnostic accuracy of optical flow ratio: an individual patient data meta-analysis
EuroIntervention, Vol. 19, Núm. 2, pp. E145-E154
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Prognostic value of post-procedural μQFR for drug-coated balloons in the treatment of in-stent restenosis
Cardiology journal, Vol. 30, Núm. 2, pp. 167-177
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Radial Wall Strain Assessment From AI-Assisted Angiography: Feasibility and Agreement With OCT as Reference Standard
Journal of the Society for Cardiovascular Angiography and Interventions, Vol. 2, Núm. 2
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Radial wall strain: a novel angiographic measure of plaque composition and vulnerability
EuroIntervention, Vol. 18, Núm. 12, pp. 1001-1010
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Reciprocal assistance of intravascular imaging in three-dimensional stent reconstruction: Using cross-modal translation based on disentanglement representation
Computerized Medical Imaging and Graphics, Vol. 104
2022
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Agreement between Murray law-based quantitative flow ratio (µQFR) and three-dimensional quantitative flow ratio (3D-QFR) in non-selected angiographic stenosis: A multicenter study
Cardiology Journal, Vol. 29, Núm. 3, pp. 388-395
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Risk Stratification in Acute Coronary Syndrome by Comprehensive Morphofunctional Assessment With Optical Coherence Tomography
JACC: Asia, Vol. 2, Núm. 4, pp. 460-472
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The role of superficial wall stress and mechanical factors in scaffold failure: Protocol of the RANSOMED study
Cardiology Journal, Vol. 29, Núm. 2, pp. 319-323
2021
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Artificial intelligence and optical coherence tomography for the automatic characterisation of human atherosclerotic plaques
EuroIntervention, Vol. 17, Núm. 1, pp. 41-50
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Automatic Coregistration Between Coronary Angiography and Intravascular Optical Coherence Tomography: Feasibility and Accuracy
JACC: Asia, Vol. 1, Núm. 2, pp. 274-278
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Diagnostic performance of intracoronary optical coherence tomography-based versus angiography-based fractional flow reserve for the evaluation of coronary lesions
EuroIntervention, Vol. 16, Núm. 7, pp. 568-576
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Identification of the type of stent with three-dimensional optical coherence tomography: The SPQR study
EuroIntervention, Vol. 17, Núm. 2, pp. E140-E148
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Optical Coherence Tomography-Derived Changes in Plaque Structural Stress Over the Cardiac Cycle: A New Method for Plaque Biomechanical Assessment
Frontiers in Cardiovascular Medicine, Vol. 8
2020
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Automatic stent reconstruction in optical coherence tomography based on a deep convolutional model
Biomedical Optics Express, Vol. 11, Núm. 6, pp. 3374-3394
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Diagnostic accuracy and reproducibility of optical flow ratio for functional evaluation of coronary stenosis in a prospective series
Cardiology Journal, Vol. 27, Núm. 4, pp. 350-361
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Echoes from picasso: Explanation of an unusual artefact in optical coherence tomography
Cardiology Journal