{"id":885,"date":"2014-11-28T12:29:30","date_gmt":"2014-11-28T15:29:30","guid":{"rendered":"http:\/\/hemolab.lncc.br\/web\/?page_id=885"},"modified":"2026-05-05T16:38:48","modified_gmt":"2026-05-05T19:38:48","slug":"production","status":"publish","type":"page","link":"http:\/\/hemolab.lncc.br\/?page_id=885","title":{"rendered":"Publications"},"content":{"rendered":"<p><script type=\"text\/javascript\">function expand (thistag, tag) { styleObj=document.getElementById(thistag).style; if (styleObj.display=='none'){ styleObj.display=''; tag.innerHTML = \"close\"; } else { styleObj.display='none'; tag.innerHTML = \"expand\"; } }<\/script><\/p>\n<style type=\"text\/css\">\n<p>.menuTut{ position:relative; font: 12px Arial, Helvetica, sans-serif; font-weight: bold; color:#E00101; text-decoration:none; display:initial;}<br \/>\n.menuTut:hover { color:#FFFFFF; background-color:#E00101; } <\/p>\n<\/style>\n<table border=\"0\" width=\"85%\">\n<tbody>\n<tr>\n<td width=\"2%\"><img decoding=\"async\" loading=\"lazy\" src=\"..\/wp-content\/uploads\/2014\/02\/h.jpg\" alt=\"h\" width=\"13\" height=\"15\"><\/td>\n<td width=\"98%\"><strong>Journal Papers<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">\n<div class=\"menuTut\" id=\"div\" onclick=\"expand('text', this);\"><span> expand <\/span><\/div>\n<p id=\"text\" class=\"style22\" style=\"display: none; color: #333333; padding: 25px 50px 25px 50px;\" align=\"justify\">\n<span style=\"color: #e00101;\"><strong>2026<\/strong><\/span><br \/>\n\u2022 Bisgaard, M; Dalmaso, C; Nygaard, JV; Precht, H; Houlind, KC; M\u00fcller, LO; Blanco, PJ. <strong> Foot perfusion. Insights from an anatomically detailed arterial network model. <\/strong> Journal of Biomechanics, v 203, p. 113336, 2026.<br \/>\n\u2022 Garc\u00eda-Garc\u00eda, HM; Bulant, CA; Boroni, GA; Clausse, A; Engstr\u00f8m, T; Lemos, PA; Lecaros Yap, NA; Cap, M; Iglesias, JF; van Geuns, R; Lang, IM; Spirk, D; H\u00e4ner, JD; Koskinas, KC; Kakizaki, R; Ueki, Y; Siontis, GCM; Bourantas, CV; Blanco, PJ; R\u00e4ber, L. <strong> Derivation and external validation of a deep learning model to predict changes in coronary plaque burden. <\/strong> Eurointervention, v. 22, p. e499-e507, 2026.<br \/>\n\u2022 Lima N\u00f3brega, GAC; Garzon, S; Blanco, PJ; Lemos, PA. <strong> One-dimensional computational circulatory models: a scoping review. <\/strong> Einstein, v. 24, p. eRW1854, 2026.<br \/>\n\u2022 Novotny, AA; Pinheiro, FA; Blanco, PJ. <strong> Topological derivative multiscale approach for the design of broadband epsilon-near-zero metamaterials. <\/strong> Journal of Computational Physics, v. 548, p. 114594, 2026.<br \/>\n<span style=\"color: #e00101;\"><strong>2025<\/strong><\/span><br \/>\n\u2022 Dalmaso, C; Blanco, PJ; M\u00fcller, LO. <strong> Cardiopulmonary mechanical interactions. Insights from an anatomically detailed arterial-venous network model. <\/strong> Biomechanics and Modeling in Mechanobiology, v. 24, p. 1653-1686, 2025.<br \/>\n\u2022 Zilves, EG; M\u00fcller, LO; Maso Talou, GD; Hachinski, V; Spence, JD; Blanco, PJ. <strong> Blood flow in the human cerebral cortex: Large-scale pial vascularization and 1D simulation. <\/strong> PLOS Computational Biology, v. 21, p. e1013459, 2025.<br \/>\n\u2022 Garc\u00eda-Garc\u00eda, HM; Sanz-S\u00e1nchez, J; Pinilla-Echeverri, N; Blanco, PJ; Bourantas, C; Alfonso, F. <strong> Advances in coronary imaging of atherosclerotic plaques. <\/strong> Eurointervention, v. 21, p. e778-e795, 2025.<br \/>\n\u2022 Mansilla \u00c1lvarez, LA; Maso Talou, GD; Feij\u00f3o, RA; Blanco, PJ. <strong>  A 3D Patient-Specific Model of Cerebral Blood Flow: Influence of Arterial Compliance and Circle of Willis Configuration. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 41, p. e70065, 2025.<br \/>\n\u2022 Garc\u00eda-Garc\u00eda, HM; Kuku, K; Ziemer, PGP; Rubio, P; Bulant, CA; Shah, P; Mintz, GS; Di Mario, C; Waksman, R; Blanco, PJ. <strong> Automated Intravascular Ultrasound Calcium Detection: Derivation and Validation of &#8220;The Calcigram&#8221;. <\/strong> JACC: Cardiovascular Interventions, v. 18, p. 1483-1485, 2025.<br \/>\n\u2022 Grinstein, J; Blanco, PJ; Torii, R; Goswami, R. <strong> The Virtual Patient Simulator: Using Hemodynamics and the Cardioenergetic Profile to Optimize Heart Failure Care. <\/strong> JACC: Basic to Translational Science, v. 10, p. 259-261, 2025.<br \/>\n\u2022 Blanco, PJ; M\u00fcller, LO. <strong> One-Dimensional Blood Flow Modeling in the Cardiovascular System. From the Conventional Physiological Setting to Real-Life Hemodynamics. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 41, p. e70020, 2025.<br \/>\n\u2022 Thiesen, JLM; Klahr, B; Carniel, TA; Holzapfel, GA; Blanco, PJ; Fancello, EA. <strong> Second-order computational homogenization for bridging poromechanical scales under large deformations. <\/strong> Computer Methods in Applied Mechanics and Engineering, v. 433, p. 117481, 2025.<br \/>\n<span style=\"color: #e00101;\"><strong>2024<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Pinheiro, FA; Novotny, AA. <strong> A novel multiscale model for micro-structured electromagnetic media. <\/strong> Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 480, p. 20240495, 2024.<br \/>\n\u2022 Fernandes, LG; M\u00fcller, LO; Feij\u00f3o, RA; Blanco, PJ. <strong> Closed-loop baroreflex model with biophysically detailed afferent pathway. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 40, p. e3849, 2024.<br \/>\n\u2022 Nieman, K; Garc\u00eda-Garc\u00eda, HM; Hideo-Kajita, A; Collet, C; Dey, D; Pugliese, F; Weissman, G; Tijssen, JGP; Leipsic, J; Opolski, MP; Ferencik, M; Lu, MT; Williams, MC; Bruining, N; Blanco, PJ; Maurovich-Horvat, P; Achenbach, S. <strong> Standards for quantitative assessments by coronary computed tomography angiography (CCTA). <\/strong> Journal of Cardiovascular Computed Tomography, v. 18, p. 429-443, 2024.<br \/>\n\u2022 Thiesen, JLM; Klahr, B; Carniel, TA; Blanco, PJ; Fancello, EA. <strong> A second-order multiscale model for finite-strain poromechanics based on the method of multiscale virtual power. <\/strong> Journal of Elasticity, v. 156, p. 917-954, 2024.<br \/>\n\u2022 Tesch, RS; Takamori, ER; Menezes, K; Carias, RBV; Rebelatto, CLK; Senegaglia, AC; Daga, DR; Fracaro, L; Robert, AW;  Pinheiro, CBR; Aguiar, MF; Blanco, PJ; Zilves, EG; Brofman, PRS; Borojevic, R. <strong> Nasal septum-derived chondroprogenitor cells control mandibular condylar resorption consequent to orthognathic surgery: a clinical trial. <\/strong> Stem Cells Translational Medicine, v. 13, p. 593-605, 2024.<br \/>\n\u2022 Mansilla \u00c1lvarez, LA; Feij\u00f3o, RA; Blanco, PJ. <strong> Inflow stabilization for hemodynamic simulations using Stokesian regions. <\/strong> Journal of Computational Physics, v. 510, p. 113096, 2024.<br \/>\n\u2022 Garmendia, C; Gonzalo, N; Blanco, PJ; Garc\u00eda-Garc\u00eda, HM. <strong> Implicancias de la inteligencia artificial en los m\u00e9todos de imagen endovascular. <\/strong> Revista Argentina de Cardiologia, v. 92, p. 42-54, 2024.<br \/>\n\u2022 Beyene, S; Tufaro, V; Garg, M; Gkargkoulas, F; Teira Calderon, A; Safi, H; Waksman, R; Windecker, S; Torii, R; Melaku, GO; Bulant, CA; Bourantas, CV; Blanco, PJ; Garc\u00eda-Garc\u00eda, HM. <strong> Comparison of endothelial shear stress between ultrathin strut Bioresorbable Polymer Drug Eluting Stent vs Durable Polymer Drug Eluting Stent post-stent implantation: An optical coherence tomography substudy from BIOFLOW II. <\/strong> Cardiovascular Revascularization Medicine, v. 61, p. 26-34, 2024.<br \/>\n\u2022 Mansilla \u00c1lvarez, LA; Ares, GD; Feij\u00f3o, RA; Blanco, PJ. <strong> A mixed-order interpolation solid element for efficient arterial wall simulations. <\/strong> Computational Mechanics, v. 73, p. 67-87, 2024.<br \/>\n\u2022 Bulant, CA; Boroni, GA; Bass, R; R\u00e4ber, L; Lemos, PA; Garc\u00eda-Garc\u00eda, HM; Blanco, PJ. <strong> Data-driven models for the prediction of coronary atherosclerotic plaque progression\/regression. <\/strong> Scientific Reports, v. 14, p. 1493, 2024.<br \/>\n<span style=\"color: #e00101;\"><strong>2023<\/strong><\/span><br \/>\n\u2022 Celant, M; Toro, EF; Bertaglia, G; Cozzio, S; Caleffi, V; Valiani, A; Blanco, PJ; M\u00fcller, LO. <strong> Modeling essential hypertension with a closed\u2010loop mathematical model for the entire human circulation. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 39, p. e3748, 2023.<br \/>\n\u2022 Bass, RD; Garc\u00eda-Garc\u00eda, HM; Ueki, Y; Holmvang, L; Pedrazzini, G; Roffi, M; Koskinas, KC; Shibutani, H; Losdat, S; Ziemer, PGP; Blanco, PJ; Levine, MB; Bourantas, CV; R\u00e4ber, L. <strong> Effect of high-intensity statin therapy on atherosclerosis (IBIS-4): Manual versus automated methods of IVUS analysis. <\/strong> Cardiovascular Revascularization Medicine, v. 54, p. 33-38, 2023.<br \/>\n\u2022 Blanco, PJ; S\u00e1nchez, PJ; Rocha, FF; Toro, S; Feij\u00f3o, RA. <strong> A consistent multiscale mechanical formulation for media with randomly distributed voids. <\/strong> International Journal of Solids and Structures, v. 283, p. 112494, 2023.<br \/>\n\u2022 Garc\u00eda-Garc\u00eda, HM; Bulant, CA; Bass, R; Boroni, G; Clausse, A; Lemos, PA; Blanco, PJ;  Losdat, S; R\u00e4ber, L. <strong> Machine learning prediction models of coronary plaque progression after one-year of high-intensity rosuvastatin therapy from intravascular ultrasound images. <\/strong> Atherosclerosis, v. 379, p. S166-S167, 2023.<br \/>\n\u2022 May, RW; Maso Talou, GD; Clark, AR; Mynard, JP; Smolich, JJ; Blanco, PJ; M\u00fcller, LO; Gentles, TL; Bloomfield, FH; Safaei, S. <strong> From fetus to neonate: A review of cardiovascular modeling in early life. <\/strong> WIREs Mechanisms of Disease, v. 15, p. e1608, 2023.<br \/>\n\u2022 M\u00fcller, LO; Watanabe, SM; Toro, EF; Feij\u00f3o, RA; Blanco, PJ. <strong> An anatomically detailed arterial-venous network model. Cerebral and coronary circulation. <\/strong> Frontiers in Physiology, v. 14, p. 1162391, 2023.<br \/>\n\u2022 Noroozbabaee, L; Blanco, PJ; Safaei, S; Nickerson, DP. <strong> Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule. <\/strong> Physiome, p. 23499258, 2023.<br \/>\n\u2022 Prado, GFA; Blanco, PJ; Bulant, CA; Ares, GD; Mariani Jr, J; Caixeta, A; Almeida, BO; Garzon, S; Pinton, FA; Barbato, E; Ribichini, FL; Toth, GG; Mahfoud, F; Wijns, W; Garc\u00eda-Garc\u00eda, HM; Lemos, PA. <strong> Quantitative coronary three-dimensional geometry and its association with atherosclerotic disease burden and composition. <\/strong> Catheterization and Cardiovascular Interventions, v. 101, p. 1036-1044, 2023.<br \/>\n\u2022 Feij\u00f3o, RA; Blanco, PJ; de Souza Neto, EA; S\u00e1nchez, PJ. <strong> Novel multiscale models in a multicontinuum approach to divide and conquer strategies. <\/strong> Computational and Applied Mathematics, v. 42, p. 143, 2023.<br \/>\n\u2022 Guilherme, RF; Silva, JBNF; Waclawiack, I; Fraga-Junior, VS; Nogueira, TO; Pecli, C; Ara\u00fajo-Silva, CA; Magalh\u00e3es, NS. Lemos, FS; Bulant, CA; Blanco, PJ; Serra, R; Svensj\u00f6, E; Scharfstein, J; Moraes, JA; Canetti, C; Benjamim, CF. <strong> Pleiotropic antifibrotic actions of aspirin-triggered resolvin D1 in the lungs. <\/strong> Frontiers in Immunology, v. 14, p. 1-13, 2023.<br \/>\n\u2022 Ghitti, B; Blanco, PJ; Toro, EF; M\u00fcller, LO. <strong> Construction of hybrid 1D\u20100D networks for efficient and accurate blood flow simulations. <\/strong> International Journal for Numerical Methods in Fluids, v. 95, p. 262-312, 2023.<br \/>\n<span style=\"color: #e00101;\"><strong>2022<\/strong><\/span><br \/>\n\u2022 Noroozbabaee, L; Blanco, PJ; Safaei, S; Nickerson, DP. <strong> A modular and reusable model of epithelial transport in the proximal convoluted tubule<\/strong> PLOS ONE, v. 17, p. e0275837, 2022.<br \/>\n\u2022 Grinstein, J; Blanco, PJ; Bulant, CA; Torii, R; Bourantas, CV; Lemos, PA; Garc\u00eda-Garc\u00eda, HM. <strong> A computational study of aortic insufficiency in patients supported with continuous flow left ventricular assist devices: Is it time for a paradigm shift in management?<\/strong> Frontiers in Cardiovascular Medicine, v. 9, p. 933321, 2022.<br \/>\n\u2022 Grinstein, J; Torii, R; Salerno, C; Blanco, PJ; Garc\u00eda-Garc\u00eda, HM; Bourantas, CV. <strong> Flow dynamics during the HeartWare HVAD to HeartMate 3 exchange: A computational study assessing differential graft lengths and surgical techniques. <\/strong> Journal of Thoracic and Cardiovascular Surgery Techniques, v. 14, p. 125-126, 2022.<br \/>\n\u2022 Bass, R; Garc\u00eda-Garc\u00eda, HM; Sanz-S\u00e1nchez, J; Ziemer, PGP; Bulant, CA; Kuku, KO; Kahsay, YA; Beyene, S; Melaku, G; Otsuka, T; Choi, J-H; Fern\u00e1ndez-Peregrina, E; Erdogan, E; Gonzalo, N; Bourantas, CV; Blanco, PJ; R\u00e4ber, L. <strong> Human vs. machine vs. core lab for the assessment of coronary atherosclerosis with lumen and vessel contour segmentation with intravascular ultrasound. <\/strong> The International Journal of Cardiovascular Imaging, v. 38, p. 1431-1439, 2022.<br \/>\n\u2022 Grinstein, J; Blanco, PJ; Bulant, CA; Torii, R; Bourantas, CV; Lemos, PA; Garc\u00eda-Garc\u00eda, HM. <strong> A computational study of aortic insufficiency in patients supported with left ventricular assist devices. <\/strong> The Journal of Heart and Lung Transplantation, v. 41, p. S32-S33, 2022.<br \/>\n\u2022 Grinstein, J; Torii, R; Blanco, PJ; Salerno, CT; Jeevanandam, V; Bourantas, CV; Lemos, PA; Garc\u00eda-Garc\u00eda, HM. <strong> Optimization of flow dynamics during the HeartWare HVAD to HeartMate 3 exchange: A computational study assessing differential surgical techniques. <\/strong> The Journal of Heart and Lung Transplantation, v. 41, p. S136, 2022.<br \/>\n\u2022 Bass, R; Garc\u00eda-Garc\u00eda, HM; Losdat, S; Blanco, PJ; R\u00e4ber, L. <strong> Effect of high-intensity statin therapy on atherosclerosis in non-infarct-related coronary arteries (IBIS-4): A machine learning-based analysis of IVUS. <\/strong> Journal of the American College of Cardiology: Cardiovascular Interventions, v. 15, p. S38, 2022.<br \/>\n\u2022 Bass, R; Garc\u00eda-Garc\u00eda, HM; Sanz-S\u00e1nchez, J; Ziemer, PGP; Bulant, CA; Kuku, KO; Kahsay, YA; Beyene, S; Melaku, G; Otsuka, T; Choi, J-H; Fern\u00e1ndez-Peregrina, E; Erdogan, E; Gonzalo, N; Bourantas, CV; Blanco, PJ; R\u00e4ber, L. <strong> Human vs. Machine vs. Core Lab in lumen and vessel contour segmentation with intravascular ultrasound. <\/strong> Journal of the American College of Cardiology: Cardiovascular Interventions, v. 15, p. S38-S39, 2022.<br \/>\n\u2022 Biocca, N; Blanco, PJ; Caballero, DE; Gimenez, JM; Carr, GE; Urquiza, SA. <strong> A biologically-inspired mesh optimizer based on pseudo-material remodeling. <\/strong> Computational Mechanics, v. 69, p. 505-525, 2022.<br \/>\n\u2022 Spence, JD; M\u00fcller, LO; Blanco, PJ. <strong> How to identify which patients should not have a systolic blood pressure target of &lt;120 mmHg. <\/strong> European Heart Journal, v. 43, p. 538-539, 2022.<br \/>\n\u2022 Mansilla \u00c1lvarez, LA; Bulant, CA; Ares, GD; Feij\u00f3o, RA; Blanco, PJ. <strong> A mid-fidelity numerical method for blood flow in deformable vessels. <\/strong> Computer Methods in Applied Mechanics and Engineering, v. 392, p. 114654, 2022.<br \/>\n\u2022 Mansilla \u00c1lvarez, LA; Bulant, CA; Ares, GD; Feij\u00f3o, RA; Blanco, PJ. <strong> Feasibility of coronary blood fow simulations using mid\u2011fdelity numeric and geometric models. <\/strong> Biomechanics and Modeling in Mechanobiology, v. 21, p. 317-334, 2022.<br \/>\n\u2022 Vellasco, L; Svensj\u00f6, E; Bulant, CA; Blanco, PJ; Nogueira, F; Domont, G; Pinto de Almeida, N; Nascimento, CR; Silva-dos-Santos, D; Carvalho-Pinto, CE; Medei, EH; Almeida, IC; Scharfstein, J. <strong> Sheltered in stromal tissue cells, Trypanosoma cruzi orchestrates inflammatory neovascularization via activation of the mast cell chymase pathway. <\/strong> Pathogens, v. 11, p. 187, 2022.<br \/>\n\u2022 Blanco, PJ; Vargas dos Santos, GH; Bulant, CA; \u00c1lvarez, LAM; Oliveira, FAP; Cunha-Lima, G; Lemos, PA. <strong> Scaling laws and the left main coronary artery bifurcation. A combination of geometric and simulation analyses. <\/strong> Medical Engineering &amp; Physics, v. 99, p. 103701, 2022.<br \/>\n\u2022 Blanco, PJ; Bulant, CA; Bezerra, CG; Lemos, PA; Garc\u00eda-Garc\u00eda, HM. <strong> Simultaneous assessment of coronary stenosis relevance with automated computed tomography angiography and intravascular ultrasound analyses and fractional flow reserve. <\/strong> Coronary Artery Disease, v. 33, p. 25-30, 2022.<br \/>\n\u2022 Blanco, PJ; Ziemer, PGP; Bulant, CA; Ueki, Y; Bass, R; R\u00e4ber, L; Lemos, PA; Garc\u00eda-Garc\u00eda, HM. <strong> Fully automated lumen and vessel contour segmentation in intravascular ultrasound datasets. <\/strong> Medical Image Analysis, v. 75, p. 102262, 2022.<br \/>\n<span style=\"color: #e00101;\"><strong>2021<\/strong><\/span><br \/>\n\u2022 Cury, LFM; Maso Talou, GD; Younes-Ibrahim, M; Blanco, PJ. <strong> Parallel generation of extensive vascular networks with application to an archetypal human kidney model. <\/strong> Royal Society Open Science, v. 8, p. 210973, 2021.<br \/>\n\u2022 Fernandes, LG; Trenhago, PR; Feij\u00f3o, RA; Blanco, PJ. <strong> Integrated cardiorespiratory system model with short timescale control mechanisms. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 37, p. e3332, 2021.<br \/>\n\u2022 Blanco, PJ. <strong> Absorbable stents and the ever-evolving coronary hemodynamic landscape. <\/strong> Cardiovascular Revascularization Medicine, v. 29, p. 16-17, 2021.<br \/>\n\u2022 Blanco, PJ; Bulant, CA; Ares, GD; Lemos, PA; Feij\u00f3o, RA. <strong> A simple coronary blood flow model to study the collateral flow index. <\/strong> Biomechanics and Modeling in Mechanobiology, v. 20, p. 1365-1382, 2021.<br \/>\n\u2022 Rocha, FF; Blanco, PJ; S\u00e1nchez, PJ; Souza Neto, EA; Feij\u00f3o, RA. <strong> Damage-driven strain localisation in networks of fibres: A computational homogenisation approach. <\/strong> Computers and Structures, v. 255, p. 106635, 2021.<br \/>\n\u2022 Blanco, PJ; Bulant, CA; Guedes-Bezerra, C; Maso Talou, GD; Pinton, FA; Ziemer, PGP; Feij\u00f3o, RA; Garc\u00eda\u2010Garc\u00eda, HM; Lemos, PA. <strong> Coronary arterial geometry: a comprehensive comparison of two imaging modalities. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 37, p. e3442, 2021.<br \/>\n\u2022 Grinstein, J; Blanco, PJ; Bulant, CA; Torii, R; Bourantas, CV; Lemos, PA; Garc\u00eda-Garc\u00eda, HM. <strong> Left Ventricular Assist Device flow pattern analysis using computational fluid dynamics at the time of invasive hemodynamic ramp study: using patient-specific data to optimize the ramp study. <\/strong> The Journal of Heart and Lung Transplantation, v. 40, p. S450-S451, 2021.<br \/>\n\u2022 Grinstein, J; Blanco, PJ; Bulant, CA; Torii, R; Bourantas, CV; Lemos, PA; Garc\u00eda-Garc\u00eda, HM. <strong> Combining invasive cardiopulmonary exercise testing with computational fluid dynamics to better understand LVAD fluid mechanics during exercise. <\/strong> The Journal of Heart and Lung Transplantation, v. 40, p. S449, 2021.<br \/>\n\u2022 Maso Talou, GD; Safaei, S; Hunter, PJ; Blanco, PJ. <strong> Adaptive constrained constructive optimisation for complex vascularisation processes. <\/strong> Scientific Reports, V. 11, p. 6180, 2021.<br \/>\n<span style=\"color: #e00101;\"><strong>2020<\/strong><\/span><br \/>\n\u2022 Gutierrez, J; Blanco, PJ; Spence, JD. <strong> TP481: Deep and Superficial Brain Arteries Flow Pattern Suggest Differential Risks to Systemic Hemodynamics. <\/strong> Stroke, v. 51, p. ATP481, 2020.<br \/>\n\u2022 Ziemer, PGP; Bulant, CA; Orlando, JI; Maso Talou, GD; Mansilla \u00c1lvarez, LA; Guedes Bezerra, C; Lemos, PA; Garc\u00eda-Garc\u00eda, HM; Blanco, PJ. <strong> Automated lumen segmentation using multi-frame convolutional neural networks in Intravascular Ultrasound datasets. <\/strong> European Heart Journal Digital Health, v. 1, p. 75-82, 2020.<br \/>\n\u2022 Su, S; Blanco, PJ; M\u00fcller, LO; Hunter, PJ; Safaei, S. <strong> Bond graph model of cerebral circulation: toward clinically feasible systemic blood flow simulations.<\/strong> Physiome, p. 12859424, 2020.<br \/>\n\u2022 Blanco, PJ; M\u00fcller, LO; Watanabe, SM; Feij\u00f3o, RA. <strong> On the anatomical definition of arterial networks in blood flow simulations: comparison of detailed and simplified models. <\/strong> Biomechanics and Modeling in Mechanobiology, v. 19, p. 1663-1678, 2020.<br \/>\n\u2022 Guzzetti, S; Mansilla \u00c1lvarez, LA; Blanco, PJ; Carlberg, KT; Veneziani, A. <strong> Propagating uncertainties in large-scale hemodynamics models via network uncertainty quantification and reduced-order modeling.<\/strong> Computer Methods in Applied Mechanics and Engineering, v. 358, p. 112626, 2020.<br \/>\n<span style=\"color: #e00101;\"><strong>2019<\/strong><\/span><br \/>\n\u2022 Carson, J; Pant, S; Roobottom, C; Alcock, R; Blanco, PJ; Bulant, CA; Vassilevski, Y; Simakov, S; Gamilov, T; Pryamonosov, R; Liang, F; Ge, X; Liu, Y; Nithiarasu, P. <strong> Non\u2010invasive coronary CT angiography\u2010derived fractional flow reserve (FFR): A benchmark study comparing the diagnostic performance of four different computational methodologies.<\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 35, p. e3235, 2019.<br \/>\n\u2022 Bezerra, CG; Pinton, FA; Falc\u00e3o, BAA; Mariani, J; Hideo-Kajita, A; Bulant, CA; Blanco, PJ; Lemos, PA. <strong> TCT-329 Full Hemodynamic Characterization of Intracoronary Physiology: Merging Advanced Grayscale Intravascular Ultrasound With Fractional Flow Reserve. <\/strong> Journal of the American College of Cardiology, v. 74, p. B327, 2019.<br \/>\n\u2022 P\u00e9rez Zerpa, JM; Maso Talou, GD; Blanco, PJ. <strong> A new robust formulation for optical-flow\/material identification problems.<\/strong> Computer Methods in Applied Mechanics and Engineering, v. 351, p. 766-788, 2019.<br \/>\n\u2022 M\u00fcller, LO; Caiazzo, A; Blanco, PJ. <strong> Reduced-order unscented Kalman filter with observations in the frequency domain: application to computational hemodynamics.<\/strong> IEEE Transactions on Biomedical Engineering, v. 66, p. 1269-1276, 2019.<br \/>\n\u2022 Bhogal, P; Yeo, LL; M\u00fcller, LO; Blanco, PJ. <strong> The effects of cerebral vasospasm on cerebral blood flow and the effects of induced hypertension: a mathematical modelling study.<\/strong> Interventional Neurology, v. 8, p. 152-163, 2019.<br \/>\n\u2022 Hideo-Kajita, A; and Bezerra, CG; Ozaki, Y; Dan, K; Melaku, GD; Pinton, FA; Falc\u00e3o, BAA; Mariani, J; Bulant, CA; Maso-Talou, GD; Esteves, A; Blanco, PJ; Waksman, R; Garcia-Garcia, HM; Lemos, PA. <strong>500.05 Comparison Between Fractional Flow Reserve (FFR) vs. Computational Fractional Flow Reserve Derived from Three-dimensional Intravascular Ultrasound (IVUSFR) and Quantitative Flow Ratio (QFR).<\/strong> JACC: Cardiovascular Interventions, v. 12, p. S40, 2019.<br \/>\n\u2022 Bezerra, CG; Hideo-Kajita, A; Bulant, CA; Maso Talou, GD; Mariani, J; Pinton, FA; Falc\u00e3o, BAA; Filho, AE; Franken, M; Feij\u00f3o, RA; Kalil-Filho, R; Garcia-Garcia, HM; Blanco, PJ, Lemos, PA. <strong> Coronary fractional flow reserve derived from intravascular ultrasound imaging: Validation of a new computational method of fusion between anatomy and physiology. <\/strong> Catheterization and Cardiovascular Interventions, v. 93, p. 266-274, 2019.<br \/>\n\u2022 Mansilla \u00c1lvarez, LA; Blanco, PJ; Bulant, CA; Feij\u00f3o, RA. <strong> Towards fast hemodynamic simulations in large-scale circulatory networks. <\/strong> Computer Methods in Applied Mechanics and Engineering, v. 344, p. 734-765, 2019.<br \/>\n<span style=\"color: #e00101;\"><strong>2018<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Bulant, CA; M\u00fcller, LO; Maso Talou, GD; Guedes Bezerra, C; Lemos, PA; Feij\u00f3o, RA. <strong> Comparison of 1D and 3D models for the estimation of fractional flow reserve.<\/strong> Scientific Reports, v. 8, p. 17275, 2018.<br \/>\n\u2022 Bezerra, CG; Lemos, PA; Pinton, FA; M\u00fcller, LO; Bulant, CA; Maso Talou, GD; Feij\u00f3o, RA; Filho, AE; Blanco, PJ. <strong>TCT-619 Comparison of one-dimensional (1D) and three-dimensional (3D) models for the estimation of coronary fractional flow reserve through cardiovascular imaging.<\/strong> Journal of the American College of Cardiology, v. 72, p. B248, 2018.<br \/>\n\u2022 Hideo-Kajita, A; Garcia-Garcia, H; Bezerra, CG; Pinton, FA; Falc\u00e3o, BAA; Mariani, J; Bulant, CA; Maso Talou, GD; Filho, AE; Blanco, PJ; Lemos, PA. <strong>TCT-308 Comparison between fractional flow reserve (FFR) and Computational fractional flow reserve derived from three-dimensional intravascular ultrasound (FFR-IVUS), percentage of diameter stenosis by visual estimation and bi-dimensional quantitative coronary angiography.<\/strong> Journal of the American College of Cardiology, v. 72, p. B127, 2018.<br \/>\n\u2022 Rocha, FF; Blanco, PJ; S\u00e1nchez, PJ; Feij\u00f3o, RA. <strong> Multi-scale modelling of arterial tissue: Linking networks of fibres to continua. <\/strong> Computer Methods in Applied Mechanics and Engineering, v. 341, p. 740-787, 2018.<br \/>\n\u2022 Turello, DF; S\u00e1nchez, PJ, Blanco, PJ, Pinto, F. <strong> A variational approach to embed 1D beam models into 3D solid continua. <\/strong> Computers &amp; Structures, v. 206, p. 145-168, 2018.<br \/>\n\u2022 Koltukluo\u011flu, TS; Blanco, PJ. <strong> Boundary control in computational haemodynamics. <\/strong> Journal of Fluid Mechanics, v. 847, p. 329-364, 2018.<br \/>\n\u2022 Maso Talou, GD; Blanco, PJ; Ares, GD; Guedes Bezerra, C; Lemos, PA; Feij\u00f3o, RA. <strong> Mechanical characterization of the vessel wall by data assimilation of intravascular ultrasound studies. <\/strong> Frontiers in Physiology, v. 9, p. 292, 2018.<br \/>\n\u2022 Safaei, S; Blanco, PJ; M\u00fcller, LO; Hellevik, LR; Hunter, PJ. <strong> Bond Graph Model of Cerebral Circulation: Toward Clinically Feasible Systemic Blood Flow Simulations. <\/strong> Frontiers in Physiology, v. 9, p. 148, 2018.<br \/>\n\u2022 Durka, MJ; Wong, IH; Kallmes, DF; Pasalic, D; Mut, F; Jagani, M; Blanco, PJ; Cebral, JR; Robertson, AM. <strong> A data driven approach for addressing the lack of flow waveform data in studies of cerebral arterial flow in older adults. <\/strong> Physiological Measurement, v. 39, p. 015006, 2018.<br \/>\n\u2022 Bulant, CA; Blanco, PJ; Clausse, A; Guedes Bezerra, C; Lima, TP; \u00c1vila, LFR, Lemos, PA; Feij\u00f3o, RA. <strong> Thermodynamic analogies for the characterization of 3D human coronary arteries. <\/strong> Biomedical Signal Processing and Control, v. 40, p. 163-170, 2018.<br \/>\n<span style=\"color: #e00101;\"><strong>2017<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; M\u00fcller, LO; Spence, JD. <strong>Blood pressure gradients in cerebral arteries: a clue to pathogenesis of cerebral small vessel disease. <\/strong> Stroke and Vascular Neurology, v. 3, p. e000087, 2017.<br \/>\n\u2022 Bezerra, CG; Pinton, FA; Falc\u00e3o, BAA; Mariani, J; Bulant, CA; Maso Talou, GD; Filho, AE; Blanco, PJ; Lemos, PA. <strong>TCT-72 Computational fractional flow reserve derived from three-dimensional intravascular ultrasound: a new algorithm of fusion between anatomy and physiology.<\/strong> Journal of the American College of Cardiology, v. 70, p. B31-B32, 2017.<br \/>\n\u2022 Caiazzo, A; Caforio, F; Montecinos, G; M\u00fcller, LO; Blanco, PJ; Toro, EF. <strong>Assessment of reduced-order unscented Kalman filter for parameter identification in one-dimensional blood flow models using experimental data. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 33, p. e2843, 2017.<br \/>\n\u2022 Mansilla \u00c1lvarez, LA; Blanco, PJ; Bulant, CA; Dari, EA; Veneziani, A; Feij\u00f3o, RA. <strong>Transversally Enriched Pipe Element Method (TEPEM). An effective numerical approach for blood flow modeling. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 33, p. e2808, 2017.<br \/>\n\u2022 Ares, GD; Blanco, PJ; Urquiza, SA; Feij\u00f3o, RA. <strong>Identification of residual stresses in multi-layered arterial wall tissues using a variational framework. <\/strong> Computer Methods in Applied Mechanics and Engineering, v. 319, p. 287-313, 2017.<br \/>\n\u2022 Maso Talou, GD; Blanco, PJ; Larrabide, I; Guedes Bezerra, C; Lemos, PA; Feij\u00f3o, RA. <strong>Registration methods for IVUS: transversal and longitudinal transducer motion compensation. <\/strong> IEEE Transactions on Biomedical Engineering, v. 64, p. 890-903, 2017.<br \/>\n\u2022 Bulant, CA; Blanco, PJ; M\u00fcller, LO; Scharfstein, J; Svensj\u00f6, E. <strong>Computer-aided quantification of microvascular networks: Application to alterations due to pathological angiogenesis in the hamster. <\/strong> Microvascular Research, v. 112, p. 53-64, 2017.<br \/>\n\u2022 Bulant, CA; Blanco, PJ; Lima, TP; Assun\u00e7\u00e3o Jr, AN; Liberato, G; Parga, JR; \u00c1vila, LFR; Pereira, AC; Feij\u00f3o, RA; Lemos, PA. <strong>A computational framework to characterize and compare the geometry of coronary networks. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 33, p. e02800, 2017.<br \/>\n\u2022 Bulant, CA; Blanco, PJ; Maso Talou, GD; Guedes Bezerra, C; Lemos, PA; Feij\u00f3o, RA. <strong>A head-to-head comparison between CT- and IVUS-derived coronary blood flow models. <\/strong> Journal of Biomechanics, v. 51, p. 65-76, 2017.<br \/>\n\u2022 Blanco, PJ; Clausse, A; Feij\u00f3o, RA. <strong>Homogenization of the Navier\u2013Stokes equations by means of the Multi-scale Virtual Power Principle. <\/strong> Computer Methods in Applied Mechanics and Engineering, v. 315, p. 760-779, 2017.<br \/>\n\u2022 Bulant, CA; Blanco, PJ; Clausse, A; Assun\u00e7\u00e3o Jr, AN; Lima, TP; \u00c1vila, LFR; Feij\u00f3o, RA; Lemos, PA. <strong>Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients. <\/strong> Biomedical Signal Processing and Control, v. 31, p. 569-575, 2017.<br \/>\n<span style=\"color: #e00101;\"><strong>2016<\/strong><\/span><br \/>\n\u2022 Bezerra, CG; Bulant, CA; Maso Talou, GD; Mariani, J; Falc\u00e3o, BAA; Pinton, FA; Feij\u00f3o, RA; Filho, AE; Blanco, PJ; Lemos, PA. <strong> TCT-535 Coronary computed tomography angiography (CCTA) blood flow model, how we can improve it? Insights based on comparison with intravascular ultrasound (IVUS) tridimensional model. <\/strong> Journal of the American College of Cardiology, v. 68, p. B216, 2016<br \/>\n\u2022 Bezerra, CG; Maso Talou, GD; Bulant, CA; Mariani, J; Pinton, FA; Falc\u00e3o, BAA; Filho, AE; Feij\u00f3o, RA; Lemos, PA; Blanco, PJ. <strong> TCT-573 Head-to-head comparison between coronary computed tomography angiography (CCTA) and intravascular ultrasound (IVUS) tridimensional models: a geometric point of view. <\/strong> Journal of the American College of Cardiology, v. 68, p. B232, 2016<br \/>\n\u2022 Safaei, S; Bradley, CP; Suresh, V; Mithraratne, K; Muller, A; Ho, H; Ladd, D; Hellevik, LR; Omholt, SW; Chase, JG; M\u00fcller, LO; Watanabe, SM; Blanco, PJ; De Bono, B; Hunter, PJ. <strong> Roadmap for cardiovascular circulation model. <\/strong> Journal of Physiology, v. 594, p. 6909-6928, 2016.<br \/>\n\u2022 M\u00fcller, LO; Blanco, PJ; Watanabe, SM; Feij\u00f3o, RA. <strong>A high-order local time stepping finite volume solver for one-dimensional blood flow simulations: application to the ADAN model. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 32, p. e02761, 2016.<br \/>\n\u2022 Toro, S; S\u00e1nchez, PJ; Podest\u00e1, JM; Blanco, PJ; Huespe, AE; Feij\u00f3o, RA. <strong> Cohesive surface model for fracture based on a two-scale formulation: computational implementation aspects. <\/strong> Computational Mechanics, v. 58, p. 549-585, 2016.<br \/>\n\u2022 Bulant, CA; Blanco, PJ; Pereira, AC; Lima, TP; Assun\u00e7\u00e3o Jr, AN; Liberato, G; Bezerra, CG; Parga, JR; \u00c1vila, LFR; Feij\u00f3o, RA; Lemos, PA <strong> On the search of arterial geometry heritability. <\/strong> International Journal of Cardiology, v. 221, p. 1013-1021, 2016.<br \/>\n\u2022 Blanco, PJ; S\u00e1nchez, PJ; de Souza Neto, EA; Feij\u00f3o, RA. <strong>The Method of Multiscale Virtual Power for the derivation of a second order mechanical model. <\/strong> Mechanics of Materials, v. 99, p. 53-67, 2016.<br \/>\n\u2022 Blanco, PJ; M\u00fcller, LO; Watanabe, SM; Feij\u00f3o, RA. <strong>Computational modeling of blood flow steal phenomena caused by subclavian stenoses. <\/strong> Journal of Biomechanics, v. 49, p. 1593-1600, 2016.<br \/>\n\u2022 Blanco, PJ; Ares, GD; Urquiza, SA; Feij\u00f3o, RA. <strong>On the effect of preload and pre-stretch on hemodynamic simulations: an integrative approach. <\/strong> Biomechanics and Modeling in Mechanobiology, v. 15, p. 593-627, 2016.<br \/>\n\u2022 Lustosa, H; Porto, F; Blanco, PJ; Valduriez, P. <strong>Database system support of simulation data. <\/strong> Proceedings of the VLDB Endowment, v. 9, p. 1329-1340, 2016.<br \/>\n\u2022 Blanco, PJ; S\u00e1nchez, PJ; de Souza Neto, EA; Feij\u00f3o, RA. <strong>Variational foundations and generalized unified theory of RVE-based multiscale models. <\/strong> Archives of Computational Methods in Engineering, v. 23, p. 191-253, 2016.<br \/>\n\u2022 M\u00fcller, LO; Leugering, G; Blanco, PJ. <strong>Consistent treatment of viscoelastic effects at junctions in one-dimensional blood flow models. <\/strong> Journal of Computational Physics, v. 314, p. 167-193, 2016.<br \/>\n\u2022 Trenhago, PR; Fernandes, LG, M\u00fcller, LO; Blanco, PJ; Feij\u00f3o, RA. <strong>An integrated mathematical model of the cardiovascular and respiratory systems. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 32, p. e02736, 2016.<br \/>\n\u2022 Toro, S; S\u00e1nchez, PJ; Blanco, PJ; de Souza Neto EA; Huespe, AE; Feij\u00f3o, RA. <strong>Multiscale formulation for material failure accounting for cohesive cracks at the macro and micro scales. <\/strong> International Journal of Plasticity, v. 76, p. 75-110, 2016.<br \/>\n<span style=\"color: #e00101;\"><strong>2015<\/strong><\/span><br \/>\n\u2022 Guedes Bezerra, C; Maso Talou, GD; Bulant, CA; Falc\u00e3o, BAA; Mariani Jr, J; Blanco, PJ; Feij\u00f3o, RA; Lemos, PA. <strong>Three-dimensional reconstruction of coronary arteries based on the integration of intravascular ultrasound and conventional angiography. <\/strong> Revista Brasileira de Cardiologia Invasiva, v. 23, p. 134-138, 2015.<br \/>\n\u2022 Maso Talou, GD; Larrabide, I; Blanco, PJ; Bezerra, CG; Lemos PA; Feij\u00f3o, RA. <strong>Improving cardiac phase extraction in IVUS studies by integration of gating methods. <\/strong> IEEE Transactions on Biomedical Engineering, v. 62, p. 2867-2877, 2015.<br \/>\n\u2022 Boileau, E; Nithiarasu, P; Blanco, PJ; M\u00fcller, LO; Fossan, FE; Hellevik, LR; Donders, WP; Huberts, W; Willemet, M; Alastruey, J. <strong>A benchmark study of numerical schemes for one-dimensional arterial blood flow modelling. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 31, p. e02732, 2015.<br \/>\n\u2022 M\u00fcller, LO; Blanco, PJ. <strong>A high order approximation of hyperbolic conservation laws in networks: Application to one-dimensional blood flow. <\/strong> Journal of Computational Physics, v. 300, p. 423-437, 2015.<br \/>\n\u2022 Golbert, DR; Blanco, PJ; Clausse, A; Feij\u00f3o, RA. <strong>On the search of more stable second-order lattice-Boltzmann schemes in confined flows. <\/strong> Journal of Computational Physics, v. 294, p. 605-618, 2015.<br \/>\n\u2022 Blanco, PJ; Watanabe, SM; Passos, MARF; Lemos, PA; Feij\u00f3o, RA. <strong>An anatomically detailed arterial network model for one-dimensional computational hemodynamics. <\/strong> IEEE Transactions on Biomedical Engineering, v. 62, p. 736-753, 2015.<br \/>\n\u2022 de Souza Neto, EA; Blanco, PJ; S\u00e1nchez, PJ; Feij\u00f3o, RA. <strong>An RVE-based multiscale theory of solids with micro-scale inertia and body force effects.<\/strong> Mechanics of Materials, v. 80, p. 136-144, 2015.<br \/>\n\u2022 Blanco, PJ; Mansilla Alvarez, LA; Feij\u00f3o, RA. <strong>Hybrid element-based approximation for the Navier-Stokes equations in pipe-like domains.<\/strong> Computer Methods in Applied Mechanics and Engineering, v. 283, p. 971-993, 2015.<br \/>\n<span style=\"color: #e00101;\"><strong>2014<\/strong><\/span><br \/>\n\u2022 Toro, S; S\u00e1nchez, PJ; Huespe, AE; Giusti, SM; Blanco, PJ; Feij\u00f3o, RA. <strong>A two-scale failure model for heterogeneous materials: numerical implementation based on the finite element method.<\/strong> International Journal for Numerical Methods in Engineering, v. 97, p. 313-351, 2014.<br \/>\n\u2022 Blanco, PJ; Giusti, SM. <strong>Thermomechanical multiscale constitutive modeling: accounting for microstructural thermal effects.<\/strong> Journal of Elasticity, v. 115, p. 27-46, 2014.<br \/>\n\u2022 Blanco, PJ; Watanabe, SM; Dari, EA; Passos, MARF; Feij\u00f3o, RA. <strong>Blood flow distribution in an anatomically detailed arterial network model: criteria and algorithms. <\/strong> Biomechanics and Modeling in Mechanobiology, v. 13, p. 1303-1330, 2014.<br \/>\n<span style=\"color: #e00101;\"><strong>2013<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Leiva, JS; Buscaglia, GC. <strong>A black-box decomposition approach for coupling heterogeneous components in hemodynamics simulations<\/strong>. International Journal for Numerical Methods in Biomedical Engineering, v. 29, p. 408-427, 2013.<br \/>\n\u2022 S\u00e1nchez, PJ; Blanco, PJ; Huespe, AE; Feij\u00f3o, RA. <strong>Failure-Oriented Multi-scale Variational Formulation: Micro-structures with nucleation and evolution of softening bands<\/strong>. Computer Methods in Applied Mechanics and Engineering, v. 257, p. 221-247, 2013.<br \/>\n\u2022 Blanco, PJ; Feij\u00f3o, RA. <strong>A dimensionally-heterogeneous closed-loop model for the cardiovascular system and its applications.<\/strong> Medical Engineering &amp; Physics, v. 35, p. 652-667, 2013.<br \/>\n\u2022 Blanco, PJ; de Queiroz, RAB; Feij\u00f3o, RA. <strong>A computational approach to generate concurrent arterial networks in vascular territories.<\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 29, p. 601-614, 2013.<br \/>\n\u2022 Malossi, ACI; Blanco, PJ; Crosetto, P; Deparis, S; Quarteroni, A. <strong>Implicit Coupling of One-Dimensional and Three-Dimensional Blood Flow Models with Compliant Vessels.<\/strong> Multiscale Modeling &amp; Simulation, v. 11, p. 474-506, 2013.<br \/>\n\u2022 Watanabe, SM; Blanco, PJ; Feij\u00f3o, RA. <strong>Mathematical Model of Blood Flow in an Anatomically Detailed Arterial Network of the Arm.<\/strong> ESAIM: Mathematical Modelling and Numerical Analysis, v. 47, p. 961-985, 2013.<br \/>\n\u2022 Blanco, PJ; Deparis, S; Malossi, ACI. <strong>On the continuity of mean total normal stress in geometrical multiscale cardiovascular problems. <\/strong> Journal of Computational Physics, v. 251, p. 136-155, 2013.<br \/>\n<span style=\"color: #e00101;\"><strong>2012<\/strong><\/span><br \/>\n\u2022 Golbert, DR; Blanco, PJ; Clausse, A; Feij\u00f3o, RA. <strong>Tuning a lattice-Boltzmann model for applications in computational hemodynamics. <\/strong> Medical Engineering &amp; Physics, v. 34, p. 339-349, 2012.<br \/>\n\u2022 Blanco, PJ; Trenhago, PR; Fernandes, LG; Feij\u00f3o, RA. <strong>On the integration of the baroreflex control mechanism in a heterogeneous model of the cardiovascular system. <\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 28, p. 412-433, 2012.<br \/>\n\u2022 Malossi, ACI; Blanco, PJ; Deparis, S. <strong>A two-level time step technique for the partitioned solution of one-dimensional arterial networks. <\/strong> Computer Methods in Applied Mechanics and Engineering, v. 237, p. 212-226, 2012.<br \/>\n\u2022 Blanco, PJ; Watanabe, SM; Feij\u00f3o, RA. <strong>Identification of vascular territory resistances in one-dimensional hemodynamics simulations. <\/strong> Journal of Biomechanics, v. 45, p. 2066-2073, 2012.<br \/>\n\u2022 Larrabide, I; Blanco, PJ; Urquiza, SA; Dari, EA; V\u00e9nere, MJ; de Souza e Silva, NA; Feij\u00f3o, RA. <strong>HeMoLab Hemodynamics Modelling Laboratory: An application for modelling the human cardiovascular system.<\/strong> Computers in Biology and Medicine, v. 42, p. 993-1004, 2012.<br \/>\n\u2022 Hadlich, MS; Oliveira, GMM; Feij\u00f3o, RA; Azevedo, CF; Tura, BR; Ziemer, PGP; Blanco, PJ; Pina, G; Meira, M; de Souza e Silva, NA. <strong>Software livre e de c\u00f3digo aberto para avalia\u00e7\u00e3o de imagens de angiotomografia de coron\u00e1rias<\/strong>. Arquivos Brasileiros de Cardiologia, v. 99, p. 944-951, 2012.<br \/>\n<span style=\"color: #e00101;\"><strong>2011<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Pivello, MR; Urquiza, SA; de Souza e Silva, NA; Feij\u00f3o, RA. <strong>Coupled models technology in multi-scale computational hemodynamics.<\/strong> International Journal of Biomedical Engineering and Technology, v. 5, p. 132-156, 2011.<br \/>\n\u2022 Blanco, PJ; Leiva, JS; Feij\u00f3o, RA; Buscaglia, GC. <strong>Black-box decomposition approach for computational hemodynamics: One-dimensional models. <\/strong>Computer Methods in Applied Mechanics and Engineering, v. 200, p. 1389-1405, 2011.<br \/>\n\u2022 Leiva, JS; Blanco, PJ; Buscaglia, GC. <strong>Partitioned analysis for dimensionally-heterogeneous hydraulic networks.<\/strong> Multiscale Modeling &amp; Simulation, v. 9, p. 872-903, 2011.<br \/>\n\u2022 Blanco, PJ; Gervasio, P; Quarteroni, A. <strong>Extended variational formulation for heterogeneous partial differential equations.<\/strong> Computational Methods in Applied Mathematics, v. 11, p. 141-172, 2011.<br \/>\n\u2022 Blanco, PJ; Discacciati, M; Quarteroni, A. <strong>Modeling dimensionally-heterogeneous problems: analysis, approximation and applications.<\/strong> Numerische Mathematik, v. 119, p. 299-335, 2011.<br \/>\n\u2022 Malossi, ACI; Blanco, PJ; Deparis, S; Quarteroni, A. <strong>Algorithms for the partitioned solution of weakly coupled fluid models for cardiovascular flows.<\/strong> International Journal for Numerical Methods in Biomedical Engineering, v. 27, p. 2035-2057, 2011.<br \/>\n<span style=\"color: #e00101;\"><strong>2010<\/strong><\/span><br \/>\n\u2022 Leiva, JS; Blanco, PJ; Buscaglia, GC. <strong>Iterative strong coupling of dimensionally heterogeneous models.<\/strong> International Journal for Numerical Methods in Engineering, v. 81, p. 1558-1580, 2010.<br \/>\n\u2022 Blanco, PJ; Urquiza, SA; Feij\u00f3o, RA. <strong>Assessing the influence of heart rate in local hemodynamics through coupled 3D-1D-0D models. <\/strong>International Journal for Numerical Methods in Biomedical Engineering, v. 23, p. 890-903, 2010.<br \/>\n<span style=\"color: #e00101;\"><strong>2009<\/strong><\/span><br \/>\n\u2022 Giusti, SM; Blanco, PJ; de Souza Neto, EA; Feij\u00f3o, RA.<strong> An assessment of the Gurson yield criterion by a computational multi-scale approach. <\/strong>Engineering Computations, v. 26, p. 281-301, 2009.<br \/>\n\u2022 Blanco, PJ; Pivello, MR; Urquiza, SA; Feij\u00f3o, RA. <strong>On the potentialities of 3D 1D coupled models in hemodynamics simulations. <\/strong>Journal of Biomechanics, v. 42, p. 919-930, 2009.<br \/>\n\u2022 Blanco, PJ; Feij\u00f3o, RA. <strong>Sensitivity analysis in kinematically incompatible models.<\/strong> Computer Methods in Applied Mechanics and Engineering, v. 198, p. 3287-3298, 2009.<br \/>\n<span style=\"color: #e00101;\"><strong>2008<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Feij\u00f3o, RA; urquiza, SA. <strong>A variational approach for coupling kinematically incompatible structural models.<\/strong> Computer Methods in Applied Mechanics and Engineering, v. 197, p. 1577-1602, 2008.<br \/>\n\u2022 Blanco, PJ; Feij\u00f3o, RA ; Dari, EA. <strong>A variational framework for fluid-solid interaction problems based on immersed domains: Theoretical bases.<\/strong> Computer Methods in Applied Mechanics and Engineering, v. 197, p. 2353-2371, 2008.<br \/>\n<span style=\"color: #e00101;\"><strong>2007<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Feij\u00f3o, RA; Urquiza, SA. <strong>A unified variational approach for coupling 3D-1D flow models and its blood flow applications.<\/strong> Computer Methods in Applied Mechanics and Engineering, v. 196, p. 4391-4410, 2007.<br \/>\n<span style=\"color: #e00101;\"><strong>2006<\/strong><\/span><br \/>\n\u2022 Urquiza, SA; Blanco, PJ; V\u00e9nere, MJ; Feij\u00f3o, RA. <strong>Multidimensional modelling for the carotid artery blood flow. <\/strong>Computer Methods in Applied Mechanics and Engineering, v. 195, n.33, p. 4002-4017, 2006.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table border=\"0\" width=\"85%\">\n<tbody>\n<tr>\n<td width=\"2%\"><img decoding=\"async\" loading=\"lazy\" src=\"..\/wp-content\/uploads\/2014\/02\/h.jpg\" alt=\"h\" width=\"13\" height=\"15\"><\/td>\n<td width=\"98%\"><strong>Book Chapters<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">\n<div class=\"menuTut\" id=\"div\" onclick=\"expand('text3', this);\"><span> expand <\/span><\/div>\n<p id=\"text3\" class=\"style22\" style=\"display: none; color: #333333; padding: 25px 50px 25px 50px;\" align=\"justify\">\n<span style=\"color: #e00101;\"><strong>2023<\/strong><\/span><br \/>\n\u2022 Sanz-S\u00e1nchez, J; Blanco, PJ; Shabbir, A; Escaned, J; Garc\u00eda-Garc\u00eda, HM. <strong>Machine Learning and Artificial Intelligence in Invasive Intracoronary Imaging . <\/strong> In: Biondi-Zoccai, G; Escaned, J; Bucciarelli-Ducci, D; Garcia-Garcia, HM. (Eds.) Invasive non invasive cardiovascular imaging. Role of machine learning and artificial intelligence &#8211; Edizioni Minerva Medica, Torino, 2023.<br \/>\n<span style=\"color: #e00101;\"><strong>2018<\/strong><\/span><br \/>\n\u2022 Orlando, JI; Barbosa Breda, J; van Keer, K; Blaschko, MB; Blanco, PJ; Bulant, CA. <strong>Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images. <\/strong> In: Frangi, AF; Schnabel, JA; Davatzikos, C; Alberola-L\u00f3pez, C; Fichtinger, G. (Eds.) Medical Image Computing and Computer Assisted Intervention &#8211; MICCAI 2018. MICCAI 2018. Springer, 2018, v. 11071, p. 65-73.<br \/>\n<span style=\"color: #e00101;\"><strong>2015<\/strong><\/span><br \/>\n\u2022 Maso Talou, GD; Blanco, PJ; Larrabide, I; Guedes Bezerra, C; Lemos, PA; Feij\u00f3o, RA. <strong>Combining Transversal and Longitudinal Registration in IVUS Studies. <\/strong> In: Navab, N; Hornegger, J; Wells, WM; Frangi, AF. (Eds.) Medical Image Computing and Computer Assisted Intervention &#8211; MICCAI 2015. MICCAI 2015. Springer, 2015, v. 9350, p. 346-353.<br \/>\n<span style=\"color: #e00101;\"><strong>2013<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Gervasio, P; Quarteroni, A. <strong>Mortar Coupling for Heterogeneous Partial Differential Equations.<\/strong> In: Bank, R; Holst, M; Widlund, O; Xu, J. (Org.). Lecture Notes in Computational Science and Engineering. Springer Berlin Heidelberg, 2013, v. 91, p. 419-426.<br \/>\n<span style=\"color: #e00101;\"><strong>2012<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Watanabe, SM; Queiroz, RAB; Trenhago, PR; Fernandes, LG; Feij\u00f3o, RA. <strong>Trends in the computational modeling and numerical simulation of the cardiovascular system<\/strong>. In: Feij\u00f3o, RA; Ziviani, A; Blanco, PJ. (Org.). Scientific Computing Applied to Medicine and Healthcare. Petr\u00f3polis, 2012, p. 29-78.<br \/>\n\u2022 Urquiza, SA; Blanco, PJ; Ares, GD; Feij\u00f3o, RA. <strong>Implementation issues of large strain formulations of hyperelastic materials for the modeling of arterial wall mechanics<\/strong>. In: Feij\u00f3o, RA; Ziviani, A; Blanco, PJ. (Org.). Scientific Computing Applied to Medicine and Healthcare. Petr\u00f3polis. 2012, p. 79-120.<br \/>\n\u2022 Blanco, PJ; Leiva, JS; Buscaglia, GC. <strong>Black-box decomposition methods to model blood flow in the cardiovascular system using dimensionally-heterogeneous models<\/strong>. In: Feij\u00f3o, RA; Ziviani, A; Blanco, PJ. (Org.). Scientific Computing Applied to Medicine and Healthcare. Petr\u00f3polis, 2012, p. 121-164.<br \/>\n\u2022 Feij\u00f3o, RA; Watanabe, SM; Blanco, PJ. <strong>Simula\u00e7\u00e3o da hemodin\u00e2mica em um modelo anatomicamente detalhado do sistema arterial do bra\u00e7o.<\/strong> In: Mathias, I; Monteiro, A. (Org.). Gold Book : Inova\u00e7\u00e3o Tecnol\u00f3gica em Educa\u00e7\u00e3o e Sa\u00fade. Rio de Janeiro, EdUERJ. 2012, p. 315-342.<br \/>\n<span style=\"color: #e00101;\"><strong>2011<\/strong><\/span><br \/>\n\u2022 Blanco, PJ; Feij\u00f3o, RA. <strong>The role of the variational formulation in the dimensionally-heterogeneous modeling of the human cardiovascular system<\/strong>. In: Ambrosi, D; Quarteroni, A; Rozza, G. (Org.). Modeling of Physiological Flows. Italy. Springer-Verlag, 2011, v. 5, p. 251-288.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table border=\"0\" width=\"85%\">\n<tbody>\n<tr>\n<td width=\"2%\"><img decoding=\"async\" loading=\"lazy\" src=\"..\/wp-content\/uploads\/2014\/02\/h.jpg\" alt=\"h\" width=\"13\" height=\"15\"><\/td>\n<td width=\"98%\"><strong>Books<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">\n<div class=\"menuTut\" id=\"div\" onclick=\"expand('text33', this);\"><span> expand <\/span><\/div>\n<p id=\"text33\" class=\"style22\" style=\"display: none; color: #333333; padding: 25px 50px 25px 50px;\" align=\"justify\">\n\u2022 Taroco, EO; Blanco, PJ; Feij\u00f3o, RA. <strong><a class=\".menuTut\" href=\"https:\/\/www.amazon.com\/Introduction-Variational-Formulation-Mechanics-Fundamentals\/dp\/1119600901\/\" target=\"_blank\" rel=\"noopener noreferrer\">Introduction to the Variational Formulation in Mechanics: Fundamentals and Applications<\/a>. 2020<\/strong> &#8211; Wiley.<br \/>\n\u2022 Taroco, EO; Blanco, PJ; Feij\u00f3o, RA. <strong><a class=\".menuTut\" href=\"..\/wp-content\/uploads\/2017\/05\/FVMEC_TBF_book_final_ISBN.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Introducci\u00f3n a la Formulaci\u00f3n Variacional de la Mec\u00e1nica. Fundamentos y Aplicaciones<\/a>. 2017<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table border=\"0\" width=\"85%\">\n<tbody>\n<tr>\n<td width=\"2%\"><img decoding=\"async\" loading=\"lazy\" src=\"..\/wp-content\/uploads\/2014\/02\/h.jpg\" alt=\"h\" width=\"13\" height=\"15\"><\/td>\n<td width=\"98%\"><strong>Student Theses<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">\n<div class=\"menuTut\" id=\"div\" onclick=\"expand('text5', this);\"><span> expand <\/span><\/div>\n<p id=\"text5\" class=\"style22\" style=\"display: none; color: #333333; padding: 25px 50px 25px 50px;\" align=\"justify\">\n<strong>Ongoing Theses and Dissertations<\/strong><br \/>\n<strong>Doctoral Dissertations<\/strong><br \/>\n\u2022 Eduardo Guerreiro Zilves. <strong>Modeling cerebral blood flow in massive vascular networks<\/strong>. <strong>2024<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Robson Cabral Severo. <strong>Modelagem computacional da fisiologia renal<\/strong>. <strong>2025<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Isabel Caetano da Silva. <strong>Estima\u00e7\u00e3o da press\u00e3o arterial no c\u00e9rebro a partir de medidas n\u00e3o invasivas<\/strong>. <strong>2025<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n<strong>Master Theses<\/strong><br \/>\n\u2022 Let\u00edcia Freitas Lopes. <strong>Modelagem da fisiologia cardiovascular em pacientes com LVAD<\/strong>. <strong>2023<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Sabrina Rodrigues de Ara\u00fajo. <strong>Modeling cardiorespiratory phenomena with applications to ventilation protocols<\/strong>. <strong>2024<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n<strong><br \/>\nTheses and Dissertations<br \/>\nMaster Theses<\/strong><br \/>\n\u2022 Diovana de Oliveira Mussolin. <strong><a class=\".menuTut\" href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2024\/11\/2024_dissertation_diovana_de_oliveira_mussolin.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Estima\u00e7\u00e3o de par\u00e2metros de um modelo 1D do sistema cardiovascular usando otimiza\u00e7\u00e3o Bayesiana<\/a><\/strong>. <strong>2024<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Eduardo Guerreiro Zilves. <strong><a class=\".menuTut\" href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2024\/11\/2024_dissertation_eduardo_guerreiro_zilves.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Automatic vascularization of massive arterial networks in the human cerebral cortex: a computational modeling approach<\/a><\/strong>. <strong>2024<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Daniel Cunha de Araujo Junior. <strong><a class=\".menuTut\" href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2023\/05\/2022_dissertation_daniel_cunha_de_araujo_junior.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">A Deep Learning Model for Semantic Segmentation of Intravascular Ultrasound Images<\/a><\/strong>. <strong>2022<\/strong> &#8211; Universidade Cat\u00f3lica de Petr\u00f3polis, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Jefferson da Silva Fernandes de Azevedo. <strong><a class=\".menuTut\" href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2023\/05\/2022_dissertation_jefferson_da_silva_fernandes_de_azevedo.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Detec\u00e7\u00e3o Autom\u00e1tica do Cora\u00e7\u00e3o em Tomografia Computadorizada Utilizando T\u00e9cnicas de Aprendizagem Profunda<\/a><\/strong>. <strong>2022<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Lu\u00eds Fernando Mendes Cury. <strong><a class=\".menuTut\" href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2021\/06\/2021_dissertation_luis_fernando_mendes_cury.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Um algoritmo paralelo para a gera\u00e7\u00e3o de redes vasculares de grande porte<\/a><\/strong>. <strong>2021<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Felipe Figueredo Rocha. <strong><a class=\".menuTut\" href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/thesisFelipe.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Aspectos B\u00e1sicos da Modelagem Multiescala para Tecidos Biol\u00f3gicos<\/a><\/strong>. <strong>2015<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Luis Alonso Mansilla Alvarez. <strong><a class=\".menuTut\" href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/2014_dissertation_luis_alonso_mansilla_alvarez.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Formula\u00e7\u00f5es de Galerkin com Interpola\u00e7\u00e3o H\u00edbrida na Modelagem do Escoamento de Fluidos Incompress\u00edveis em Dom\u00ednios Tubulares<\/a><\/strong>. <strong>2014<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Gonzalo Maso Talou. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/thesisGonzalo.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Segmenta\u00e7\u00e3o de Imagens IVUS via Contornos Ativos e Reconstru\u00e7\u00e3o Espa\u00e7o-Temporal dos Vasos Coron\u00e1rios Assistida por Angiografias<\/a><\/strong>. <strong>2013<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Carlos Alberto Bulant. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/thesisCarlos.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Reconstru\u00e7\u00e3o e Segmenta\u00e7\u00e3o de Angiografias via T\u00e9cnicas Variacionais e M\u00e9todos de Level Set<\/a><\/strong>. <strong>2013<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Karine Dam\u00e1sio Guimar\u00e3es. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/thesisKarine.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Acoplamento de Modelos Dimensionalmente Heterog\u00eaneos: Formula\u00e7\u00f5es Variacionais e M\u00e9todos Iterativos<\/a><\/strong>. <strong>2011<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Daniel Reis Golbert. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/Dissertation_Daniel_final.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Modelos de Lattice-Boltzmann Aplicados \u00e0 Simula\u00e7\u00e3o Computacional do Escoamento de Fluidos Incompress\u00edveis<\/a><\/strong>. <strong>2009<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n<strong><br \/>\nDoctoral Dissertations<\/strong><br \/>\n\u2022 Felipe Figueredo Rocha. <a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2021\/06\/2019_thesis_felipe_figueredo_rocha.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>Multiscale Modelling of Fibrous Materials: From the Elastic Regime to Failure Detection in Soft Tissues.<\/strong><\/a> <strong> 2019<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Luis Alonso Mansilla Alvarez. <a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/2018_thesis_luis_alonso_mansilla_alvarez.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>An Effective Numerical Technique for Pipe-Like Domains and its Application in Computational Hemodynamics<\/strong>.<\/a><strong> 2018<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Gonzalo Maso Talou. <a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/2017_thesis_gonzalo_daniel_maso_talou.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>From Medical Image Processing to In-Vivo Mechanical Characterization: A Framework Based on IVUS Studies<\/strong>.<\/a> <strong>2017<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Carlos Alberto Bulant. <a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/thesis_carlos_alberto_bulant.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>Computational Models for the Geometric and Functional Assessment of Coronary Circulation<\/strong>.<\/a><strong> 2017<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Gonzalo Dami\u00e1n Ares. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/2016_thesis_gonzalo_damian_ares.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Integrative Computational Modeling &amp; In-vivo Characterization of Residual Deformations in Hemodynamics<\/a><\/strong>. <strong>2016<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Rafael Alves Bonfim de Queiroz. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/2013_thesis_rafael_alves_bonfim_queiroz.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Constru\u00e7\u00e3o Autom\u00e1tica de Modelos de \u00c1rvores Circulat\u00f3rias e suas Aplica\u00e7\u00f5es em Hemodin\u00e2mica Computacional<\/a><\/strong>. <strong>2013<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Daniel Reis Golbert. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/2013_thesis_daniel_reis_golbert.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">M\u00e9todo de Lattice-Boltzmann em Hemodin\u00e2mica Computacional: Intera\u00e7\u00f5es Fluido-Estrutura e Modelos Acoplados 1D-3D<\/a><\/strong>. <strong>2013<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Mario Sansuke Maranh\u00e3o Watanabe. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/2013_thesis_mario_sansuke_maranhao_watanabe.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">ADAN \u2013 Um Modelo Anatomicamente Detalhado da Rede Arterial Humana para Hemodin\u00e2mica Computacional<\/a><\/strong>. <strong>2013<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<br \/>\n\u2022 Paulo Roberto Trenhago. <strong><a href=\"http:\/\/hemolab.lncc.br\/wp-content\/uploads\/2019\/06\/2013_thesis_paulo_roberto_trenhago.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Modelagem Computacional dos Sistemas Cardiovascular, Respirat\u00f3rio e Auton\u00f4mico<\/a><\/strong>. <strong>2013<\/strong> &#8211; Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica, Advisor: Pablo Javier Blanco.<\/p>\n<p><strong><strong><strong><strong><strong><strong>&nbsp;<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n<p><strong><br \/>\n<\/strong><strong><\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"http:\/\/hemolab.lncc.br\/\"><img decoding=\"async\" loading=\"lazy\" src=\"..\/wp-content\/uploads\/2014\/08\/back.gif\" alt=\"back\" width=\"50\" height=\"14\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Journal Papers expand 2026 \u2022 Bisgaard, M; Dalmaso, C; Nygaard, JV; Precht, H; Houlind, KC; M\u00fcller, LO; Blanco, PJ. Foot perfusion. Insights from an anatomically detailed arterial network model. Journal of Biomechanics, v 203, p. 113336, 2026. \u2022 Garc\u00eda-Garc\u00eda, HM; Bulant, CA; Boroni, GA; Clausse, A; Engstr\u00f8m, T; Lemos, PA; Lecaros Yap, NA; Cap, M; [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/hemolab.lncc.br\/index.php?rest_route=\/wp\/v2\/pages\/885"}],"collection":[{"href":"http:\/\/hemolab.lncc.br\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/hemolab.lncc.br\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/hemolab.lncc.br\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"http:\/\/hemolab.lncc.br\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=885"}],"version-history":[{"count":395,"href":"http:\/\/hemolab.lncc.br\/index.php?rest_route=\/wp\/v2\/pages\/885\/revisions"}],"predecessor-version":[{"id":2204,"href":"http:\/\/hemolab.lncc.br\/index.php?rest_route=\/wp\/v2\/pages\/885\/revisions\/2204"}],"wp:attachment":[{"href":"http:\/\/hemolab.lncc.br\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}