CT
Charles A. Taylor
Models, CardiovascularFractional Flow Reserve, MyocardialCoronary Artery DiseaseComputed Tomography AngiographyComputer SimulationHemodynamicsCoronary StenosisPlaque, AtheroscleroticCoronary Angiographycoronary artery disease
On Valency
published · living versionsW_gaxqf2jv·v1 · currentpublished
Synthetic Dataset Generation, Physical Consistency and Active Learning for Shape-Informed Surrogate Modeling of Hemodynamics
with Francesco Romor, Richard Schussnig, Gerhard A. Holzapfel, Alfonso Caiazzo
1 version
Preprints & journals
165 papers in the corpus · 1998–2026Synthetic Dataset Generation, Physical Consistency and Active Learning for Shape-Informed Surrogate Modeling of Hemodynamics2610.27130v1 · Francesco Romor, Richard Schussnig, Charles A. Taylor et al.2026 · 0 citationsarXivon Valency
Sex differences in detection of acute coronary syndrome culprit lesion using conventional and AI-enhanced coronary CT angiography.42834459 · Ahn, Hyun Jin, Yang, Seokhun, Jung, Jae Wook et al.2026 · 0 citationsEuropean heart journal. Cardiovascular Imaging. 2026;27(11):1969-1980
svMultiPhysics: a finite element-based solver for cardiovascular simulations2607.19631v1 · David Codoni, Sujal Dave, David W. Parker et al.2026 · 0 citationsarXiv
Association of Hemodynamic Disease Severity and Distribution With Risk of Future Acute Coronary Syndrome.42412030 · Yang, Seokhun, Chung, Jae Wook, Park, Sang-Hyeon et al.2026 · 1 citationJACC. Cardiovascular imaging. 2026;19(10):1239-1252
Biomechanical index for predicting the risk of acute coronary syndrome.41953669 · Johnson, Michael J, Abdelmalik, Michael R A, Choi, Gilwoo et al.2026 · 0 citationsFrontiers in cardiovascular medicine. 2026;13:1766059
Anatomical vs Physiological Lesion Characteristics in Prediction of Acute Coronary Syndrome.41371781 · Yang, Seokhun, Chung, Jae Wook, Park, Sang-Hyeon et al.2025 · 4 citationsJACC. Cardiovascular interventions. 2025;18(23):2833-2845
Percentage of left ventricular myocardial blood flow distribution and revascularization completeness in FASTTRACK CABG.41203541 · Serruys, Patrick W, Tsai, Tsung-Ying, Kageyama, Shigetaka et al.2026 · 3 citationsJournal of cardiovascular computed tomography. 2026;20(1):50-62
Multimodal AI for Precision Preventive Cardiology10.1101/2025.10.09.25337677v1 · Pandey, D., Xu, L., Kun, E. et al.2025 · 1 citationmedRxiv
Prognostic Time Frame of Plaque and Hemodynamic Characteristics and Integrative Risk Prediction for Acute Coronary Syndrome.40272335 · Yang, Seokhun, Jung, Jae Wook, Park, Sang-Hyeon et al.2025 · 13 citationsJACC. Cardiovascular imaging. 2025;18(7):784-795
Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path Optimization.39374277 · Kadry, Karim, Olender, Max L, Schuh, Andreas et al.2025 · 5 citationsIEEE transactions on medical imaging. 2025;44(2):880-890
Predictors for Vulnerable Plaque in Functionally Significant Lesions.39269415 · Yang, Seokhun, Hwang, Doyeon, Sakai, Koshiro et al.2025 · 18 citationsJACC. Cardiovascular imaging. 2025;18(2):195-206
Prospective deep learning-based quantitative assessment of coronary plaque by computed tomography angiography compared with intravascular ultrasound: the REVEALPLAQUE study.38700097 · Narula, Jagat, Stuckey, Thomas D, Nakazawa, Gaku et al.2024 · 91 citationsEuropean heart journal. Cardiovascular Imaging. 2024;25(9):1287-1295
Changes in donor vessel physiology following coronary computed tomography angiography guided chronic total occlusion percutaneous coronary intervention: insights from computed tomography fractional flow reserve and artificial intelligence-guided ischemia model.39179714 · Carvalho, Pedro E P, Cavalcante, João L, Lesser, John et al.2024 · 4 citationsThe international journal of cardiovascular imaging. 2024;40(11):2435-2438
Cardiac computed tomography-derived coronary artery volume to myocardial mass in patients with severe coronary artery disease.38944640 · Kageyama, Shigetaka, Taylor, Charles A, Updegrove, Adam et al.2024 · 2 citationsJournal of cardiovascular computed tomography. 2024;18(5):478-488
Impact of Post-PCI FFR Stratified by Coronary Artery.37821185 · Collet, Carlos, Johnson, Nils P, Mizukami, Takuya et al.2023 · 51 citationsJACC. Cardiovascular interventions. 2023;16(19):2396-2408
Impact of coronary CT image quality on the accuracy of the FFRCT Planner.37798406 · Andreini, Daniele, Belmonte, Marta, Penicka, Martin et al.2024 · 18 citationsEuropean radiology. 2024;34(4):2677-2688
Coronary Atherosclerosis Phenotypes in Focal and Diffuse Disease.37480908 · Sakai, Koshiro, Mizukami, Takuya, Leipsic, Jonathon et al.2023 · 73 citationsJACC. Cardiovascular imaging. 2023;16(11):1452-1464
Preclinical validation of the advection diffusion flow estimation method using computational patient specific coronary tree phantoms.37459894 · Bakker, L M M L, Xiao, N, Lynch, S et al.2023 · 1 citationInternational journal for numerical methods in biomedical engineering. 2023;39(9):e3746
Accuracy of a virtual PCI planner based on coronary CT angiography in calcific lesions.37419721 · Belmonte, Marta, Maeng, Michael, Collet, Carlos et al.2023 · 10 citationsJournal of cardiovascular computed tomography. 2023;17(5):367-369
Complex coronary artery disease revascularization planning with computed tomography and 3-dimensional hologram.37555049 · Tsai, Tsung-Ying, Kageyama, Shigetaka, Ramponi, Fabio et al.2023 · 2 citationsJTCVS techniques. 2023;20:96-98
Computed tomographic angiography in coronary artery disease.37025086 · Serruys, Patrick W, Kotoku, Nozomi, Nørgaard, Bjarne L et al.2023 · 81 citationsEuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology. 2023;18(16):e1307-e1327
Long-term prognostic implications of hemodynamic and plaque assessment using coronary CT angiography.36872186 · Yang, Seokhun, Lesina, Krista, Doh, Joon-Hyung et al.2023 · 15 citationsAtherosclerosis. 2023;373:58-65
Appropriateness of the Modality of Revascularization According to the SYNTAX Score II 2020 in the FASTTRACK CABG Study: An Interim Report on Patient Selection.36639338 · Ninomiya, Kai, Serruys, Patrick W, Garg, Scot et al.2023 · 5 citationsCardiovascular revascularization medicine : including molecular interventions. 2023;50:34-40
Diagnostic performance of fractional flow reserve derived from computed tomography in stented coronary arteries.35550869 · Toba, Takayoshi, Otake, Hiromasa, Roy, Arjun et al.2022 · 2 citationsJournal of cardiovascular computed tomography. 2022;16(4):358-361
Cardiac computed tomography-derived coronary artery volume to myocardial mass.34740557 · Ihdayhid, Abdul Rahman, Fairbairn, Timothy A, Gulsin, Gaurav S et al.2022 · 29 citationsJournal of cardiovascular computed tomography. 2022;16(3):198-206
Successful Coronary Artery Bypass Grafting Based Solely on Non-Invasive Coronary Computed Tomography Angiography.34556432 · Kawashima, Hideyuki, Onuma, Yoshinobu, Andreini, Daniele et al.2022 · 11 citationsCardiovascular revascularization medicine : including molecular interventions. 2022;40S:187-189
Association Among Local Hemodynamic Parameters Derived From CT Angiography and Their Comparable Implications in Development of Acute Coronary Syndrome.34589527 · Yang, Seokhun, Choi, Gilwoo, Zhang, Jinlong et al.2022 · 24 citationsFrontiers in cardiovascular medicine. 2021;8:713835
Rationale and design of the precise percutaneous coronary intervention plan (P3) study: Prospective evaluation of a virtual computed tomography-based percutaneous intervention planner.33656754 · Nagumo, Sakura, Collet, Carlos, Norgaard, Bjarne L et al.2021 · 32 citationsClinical cardiology. 2021;44(4):446-454
Safety and feasibility evaluation of planning and execution of surgical revascularisation solely based on coronary CTA and FFRCT in patients with complex coronary artery disease: study protocol of the FASTTRACK CABG study.33303435 · Kawashima, Hideyuki, Pompilio, Giulio, Andreini, Daniele et al.2021 · 46 citationsBMJ open. 2020;10(12):e038152
Myocardial Perfusion Simulation for Coronary Artery Disease: A Coupled Patient-Specific Multiscale Model.33263155 · Papamanolis, Lazaros, Kim, Hyun Jin, Jaquet, Clara et al.2021 · 64 citationsAnnals of biomedical engineering. 2021;49(5):1432-1447
Wall Shear Stress and Plaque Vulnerability: Computational Fluid Dynamics Analysis Derived From cCTA and OCT.32950454 · Toba, Takayoshi, Otake, Hiromasa, Choi, Gilwoo et al.2021 · 10 citationsJACC. Cardiovascular imaging. 2021;14(1):315-317
Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies: JACC State-of-the-Art Review.32883417 · Abdelrahman, Khaled M, Chen, Marcus Y, Dey, Amit K et al.2021 · 299 citationsJournal of the American College of Cardiology. 2020;76(10):1226-1243
Non-invasive procedural planning using computed tomography-derived fractional flow reserve.32845067 · Bom, Michiel J, Schumacher, Stefan P, Driessen, Roel S et al.2021 · 24 citationsCatheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions. 2021;97(4):614-622
Differences in coronary vasodilatory capacity and atherosclerosis in endurance athletes using coronary CTA and computational fluid dynamics (CFD): Comparison with a sedentary lifestyle.32739779 · Feuchtner, Gudrun M, Langer, Christian, Senoner, Thomas et al.2021 · 9 citationsEuropean journal of radiology. 2020;130:109168
Diagnostic value of comprehensive on-site and off-site coronary CT angiography for identifying hemodynamically obstructive coronary artery disease.32540206 · Bom, Michiel J, Driessen, Roel S, Kurata, Akira et al.2021 · 9 citationsJournal of cardiovascular computed tomography. 2021;15(1):37-45
The SYNTAX score on its way out or … towards artificial intelligence: part II.31651398 · Serruys, Patrick W, Chichareon, Ply, Modolo, Rodrigo et al.2020 · 31 citationsEuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology. 2020;16(1):60-75
The SYNTAX score on its way out or … towards artificial intelligence: part I.31651399 · Serruys, Patrick W, Chichareon, Ply, Modolo, Rodrigo et al.2020 · 42 citationsEuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology. 2020;16(1):44-59
Physics driven reduced order model for real time blood flow simulations1911.01543v1 · Sethuraman Sankaran, David Lesage, Rhea Tombropoulos et al.2019 · 0 citationsarXiv
The association of coronary lumen volume to left ventricle mass ratio with myocardial blood flow and fractional flow reserve.31302027 · van Diemen, P A, Schumacher, S P, Bom, M J et al.2020 · 27 citationsJournal of cardiovascular computed tomography. 2019;13(4):179-187
Impact of sublingual nitroglycerin dosage on FFRCT assessment and coronary luminal volume-to-myocardial mass ratio.31227880 · Holmes, Kenneth R, Fonte, Tim A, Weir-McCall, Jonathan et al.2020 · 25 citationsEuropean radiology. 2019;29(12):6829-6836
Relevance of anatomical, plaque, and hemodynamic characteristics of non-obstructive coronary lesions in the prediction of risk for acute coronary syndrome.31025066 · Park, Jiesuck, Lee, Joo Myung, Koo, Bon-Kwon et al.2020 · 27 citationsEuropean radiology. 2019;29(11):6119-6128
Lumen boundaries extracted from coronary computed tomography angiography on computed fractional flow reserve (FFRCT): validation with optical coherence tomography.29616627 · Uzu, Kenzo, Otake, Hiromasa, Choi, Gilwoo et al.2019 · 20 citationsEuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology. 2019;14(15):e1609-e1618
Predicting the Physiological Effect of Revascularization in Serially Diseased Coronary Arteries.30722688 · Modi, Bhavik N, Sankaran, Sethuraman, Kim, Hyun Jin et al.2020 · 75 citationsCirculation. Cardiovascular interventions. 2019;12(2):e007577
Comparison of Coronary Computed Tomography Angiography, Fractional Flow Reserve, and Perfusion Imaging for Ischemia Diagnosis.30654888 · Driessen, Roel S, Danad, Ibrahim, Stuijfzand, Wijnand J et al.2019 · 446 citationsJournal of the American College of Cardiology. 2019;73(2):161-173
Predictive value of targeted proteomics for coronary plaque morphology in patients with suspected coronary artery disease.30587458 · Bom, Michiel J, Levin, Evgeni, Driessen, Roel S et al.2019 · 67 citationsEBioMedicine. 2019;39:109-117
The Authors Reply.30190035 · Lee, Joo Myung, Choi, Gilwoo, Koo, Bon-Kwon et al.2019 · 0 citationsJACC. Cardiovascular imaging. 2018;11(9):1372-1373
Generation of Patient-Specific Cardiac Vascular Networks: A Hybrid Image-Based and Synthetic Geometric Model.30113890 · Jaquet, Clara, Najman, Laurent, Talbot, Hugues et al.2020 · 42 citationsIEEE transactions on bio-medical engineering. 2019;66(4):946-955
Hypertrophic Cardiomyopathy (HCM): New insights into Coronary artery remodelling and ischemia from FFRCT.30139668 · Sellers, Stephanie L, Fonte, Tim A, Grover, Rominder et al.2019 · 30 citationsJournal of cardiovascular computed tomography. 2018;12(6):467-471
Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Assessment: Many Roads to Reach the Same Goal - Reply.30033941 · Otake, Hiromasa, Taylor, Charles A, Matsuo, Hitoshi et al.2019 · 0 citationsCirculation journal : official journal of the Japanese Circulation Society. 2018;82(9):2449
Automated estimation of image quality for coronary computed tomographic angiography using machine learning.29572635 · Nakanishi, Rine, Sankaran, Sethuraman, Grady, Leo et al.2018 · 26 citationsEuropean radiology. 2018;28(9):4018-4026
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