Profesores

•[2026] Liu Q, Wang X, Sotelo J, Lu Q, Song L, Uribe S, Zhang J, Yue W, Yang Q. Impact of Aging, Sex, and Hypertension on Aortoiliac Hemodynamics: A 4D Flow MRI Study. Journal of the American Heart Association. (In Press) [WoS - Q1, Impact Factor: 6.0]

•[2026] Hardy B, Zimmermann J, Lechner V, Bonini M, Sotelo JA, Burris NS, Ennis DB, Marlevi D, Nordsletten D. Comprehensive Analysis of Relative Pressure Estimation in Type B Aortic Dissection Utilizing 4D-Flow MRI. IEEE transactions on medical imaging. https://doi.org/10.1109/TMI.2026.3725971 [WoS - Q1, Impact Factor: 12.4]

•[2026] Garcia J, Geiger J, Christopher A, Meierhofer C, Maskatia S, Raimondi F, Teo L, Uribe S, Sotelo J, Saengsin K, Suwa K, Zhong L, Tandon A. 4D flow cardiac magnetic resonance postprocessing in congenital heart disease: SCMR FLIICR workgroup recommendations. Journal of Cardiovascular Magnetic Resonance. https://doi.org/10.1016/j.jocmr.2026.102789 [WoS - Q1, Impact Factor: 5.0]

•[2026] Bisbal J, Sotelo J, Valdes MI, Irarrazaval P, Andia ME, García J, Rodriguez-Palomares J, Raimondi F, Tejos C, Uribe S. AdaPR: Adaptive Plane Reformatting for 4D flow MRI using deep reinforcement learning. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2026.109546 [WoS - Q1, Impact Factor: 6.4]

•[2026] Karim, R., Fyrdahl, A., Ramos, J. G., Melin, M., Sundblad, P., Sotelo, J., Wieslander, B., & Marlevi, D. The Relationship between vortical flow and pressure gradient reversal in Pulmonary Hypertension—A 4D Analysis of cardiovascular magnetic resonance Flow Imaging. Pulmonary Circulation, 16(3). https://doi.org/10.1002/pul2.70350 [WoS - Q3, Impact Factor: 2.4]

•[2026] Bisbal J, Winter P, Jofre S, Ponce A, Ansari SA, Abdalla R, Markl M, Welin Odeback O, Uribe S, Tejos C, Sotelo J, Schnell S, Marlevi D. Uncertainty-aware automated labeling of intracranial arteries using deep learning. BMC Med Imaging. 2026 Mar 16. doi: https://doi.org/10.1186/s12880-026-02276-5 [WoS - Q2, Impact Factor: 2.9]

•[2026] Tremain, P., Dowrick, J. M., Cheng, L. K., McKeage, J. W., Saavedra, C., Sotelo, J., & Angeli‐Gordon, T. R. (2026). Wavelet‐Based Denoising Optimization for Endoscopic Gastric Slow‐Wave Recordings. Healthcare Technology Letters, 13(1), e70052. https://doi.org/10.1049/htl2.70052 [WoS - Q2, Impact Factor: 3.3]

•[2026] Liu, Q., Wang, X., Lu, Q., Song, L., Guan, X., Sotelo, J., Uribe, S., Zhang, C., Daniel, G., Sun, C., & Yang, Q. (2026). Simultaneous quantitative evaluation of both iliac arteries and veins via accelerated four-dimensional flow in healthy controls and patients with deep vein thrombosis: a pilot study. Quantitative Imaging In Medicine And Surgery, 16(3), 240. https://doi.org/10.21037/qims-2025-1886 [WoS - Q3, Impact Factor: 2.3]

•[2026] Mella, H., Galarce, F., Sekine, T., Sotelo, J., & Castillo, E. (2025). Evaluating the impact of blood rheology in hemodynamic parameters by 4D Flow MRI in large vessels considering the hematocrit effect. Biomedical Signal Processing And Control, 111, 108145. https://doi.org/10.1016/j.bspc.2025.108145 [WoS - Q1, Impact Factor: 5.7]

•[2026] Márquez-Sandoval, M., Carvajal, B. M., Parraguez, J. S., & Aguilera, A. Evaluación automatizada de úlceras del pie diabético: Estimación de categorías PWAT mediante características radiómicas y aprendizaje automático. Ingeniare. Revista Chilena De IngenieríA, 33. https://doi.org/10.64966/ingeniare.v33.24 [Conference]

•[2026] Sotelo, J., Uribe, S., Hurtado, D., Mura, J., Mella, H., Marlevi, D., Lamata, P., & Fernandes, J. 4D Flow MRI MATLAB Toolbox. Journal of Cardiovascular Magnetic Resonance. 29th Annual SCMR Scientific Sessions, Rio de Janeiro, Brasil, 4-7 February, 28, 102339. https://doi.org/10.1016/j.jocmr.2025.102339 [Conference]

•[2026] Jara, S., Galarce, F., Mella, H., Ñanculef, R., Salas, R., Beerbaum, P., Grotenhuis, H., Marlevi, D., Valverde, I., Uribe, S., & Sotelo, J. Prediction of peak-to-peak pressure gradient in patients with aortic coarctation using Physics-Informed Neural Networks from Magnetic Resonance Images. Journal of Cardiovascular Magnetic Resonance. 29th Annual SCMR Scientific Sessions, Rio de Janeiro, Brasil, 4-7 February, 28, 102500. https://doi.org/10.1016/j.jocmr.2025.102500 [Conference]

•[2026] Sotelo, J., Mella, H., Galarce, F., Velasquez, C., Uribe, S., Sekine, T., & Castillo, E. (2026). Effect of blood rheology and hematocrit on the estimation of hemodynamic parameters in hypertrophic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 29th Annual SCMR Scientific Sessions, Rio de Janeiro, Brasil, 4-7 February, 28, 102641. https://doi.org/10.1016/j.jocmr.2025.102641 [Conference]

•[2025] Jiménez-Jara, C., Salas, R., Díaz-Navarro, R., Chabert, S., Andia, M. E., Vega, J., Urbina, J., Uribe, S., Sekine, T., Raimondi, F., & Sotelo, J. (2025). AI Applied to Cardiac Magnetic Resonance for Precision Medicine in Coronary Artery Disease: A Systematic Review. Journal of Cardiovascular Development and Disease, 12(9), 345. https://doi.org/10.3390/jcdd12090345 [WoS - Q2, Impact Factor: 2.6]

•[2025] Jara, S., Sotelo, J., Ortiz-Puerta, D., Estévez, P. A., Uribe, S., Chabert, S., & Salas, R. (2025). Physics-Informed Neural Network for Modeling the Pulmonary Artery Blood Pressure from Magnetic Resonance Images: A Reduced-Order Navier–Stokes Model. Biomedicines, 13(9), 2058. https://doi.org/10.3390/biomedicines13092058 [WoS - Q1, Impact Factor: 3.9]

•[2025] Mellado, D., Mayeta, L., Sotelo, J., Querales, M., Godoy, E., Lever, S., Pardo, F., Chabert, S., Salas, R. Identifying Clinically Relevant Findings in Breast Cancer using Deep Learning and Feature Attribution on Local Views from High-Resolution Mammography. Frontiers in Oncology. Volume 15 - 2025 | doi: https://doi.org/10.3389/fonc.2025.1601929. [WoS - Q2, Impact Factor: 3.4]

•[2025] Denecken, E., Arrieta, C., Sotelo, J., Mella, H., & Uribe, S. Simultaneous acquisition of water, fat, and velocity images using a Phase‐Contrast T2*‐IDEAL method. NMR in Biomedicine, 38(6). https://doi.org/10.1002/nbm.70049 [WoS - Q2, Impact Factor: 2.8]

•[2025] Mayeta L, Cavieres E, Salinas M, Mellado D, Ponce S, Torres F, Chabert S, Querales M, Sotelo J, Salas R. Radiomics-Driven Neuro-Fuzzy Framework for Rule Generation to Enhance Explainability in MRI-Based Brain Tumor Segmentation. Frontiers in Neuroinformatics Volume 19. https://doi.org/10.3389/fninf.2025.1550432 [WoS - Q2, Impact Factor: 2.5]

•[2025] Denecken E, Arrieta C, Hernando D, Sotelo J, Mella H, Uribe S. Simultaneous acquisition of water, fat and velocity images using a phase-contrast 3p-Dixon method. Magnetic Resonance Imaging. Magnetic Resonance Imaging, 118:110341 (2025). https://doi.org/10.1016/j.mri.2025.110341 [WoS - Q3, Impact Factor: 2.1]

•[2025] Fernandes, J. F., Bellsham-Revell, H., Sattwika, P. D., Ghahfarokhi, M., Yap, H. Y., Kiely, A., Ferrez, X. M., Camara, O., Sotelo, J., Wong, J., Barron, D., Salih, C., Pushparajah, K., Lewandowski, A. J., Lamata, P., & De Vecchi, A. (2025b). Characterising growth and early haemodynamic inefficiencies: Phase-Contrast MRI analysis of the aorta in post-Fontan Hypoplastic left heart syndrome. JTCVS Structural and Endovascular., 100086. https://doi.org/10.1016/j.xjse.2025.100086 [SCOPUS]

•[2025] Abuzinadah, R. F., Sotelo, J., Broadbent, D., Cash, M. L., Shelley, D., Jin, N., Plein, S., Marlevi, D., & Bissell, M. M. Non-invasively measured pressure drops are higher in neonates with coarctation of the aorta (CoA) compared to reference controls. Journal of Cardiovascular Magnetic Resonance. 28th Annual SCMR Scientific Sessions, Washington DC, USA, 29 January - 1 February, 27, 101163. https://doi.org/10.1016/j.jocmr.2024.101163 [Conference]

•[2025] Brito D, Sotelo J, Márquez G, Visconti M. Machine Learning Techniques in Microservices: A Systematic Mapping. 2025 L Latin American Computer Conference (CLEI), Chilean Computer Science Conference (JCC), Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). https://doi.org/10.1109/SCCC67219.2025.11420492 [Conference]

•[2024] Ait Ali L, Martini N, Listo E, Valenti E, Sotelo J, Salvadori S, Passino C, Monteleone A, Stagnaro N, Trocchio G, Marrone C, Raimondi F, Catapano G, Festa P. Impact of 4D- Flow CMR parameters on functional evaluation of Fontan circulation. Pediatr Cardiol (2024). https://doi.org/10.1007/s00246-024-03446-4 [WoS - Q3, Impact Factor: 1.5]

•[2024] Vásquez-Salgado, J., L. Figueroa, R., Sotelo, J., & Villalobos-Cid, M. (2024). Biomedical engineering research in Chilean universities - A bibliometric analysis. IEEE Latin America Transactions, 22(4), 339–351. 10.1109/TLA.2024.10472960 [WoS - Q4, Impact Factor: 0.8]

•[2024] Abuzinadah, R., Fernandes, J., Panayiotou, H., Shelley, D., Broadbent, D., Jin, N., De Vecchi, A., Lamata, P., Sotelo, J., & Bissell, M. Pressure Recovery Distance Measured Non-invasively Using 4D Flow MRI Is Prolonged in Neonates with Coarctation of the Aorta. Journal of Cardiovascular Magnetic Resonance. CMR 2024, London, UK, 26, 100132. https://doi.org/10.1016/j.jocmr.2024.100132 [Conference]

•[2024] Ponce A, Salas R, Garcia J, Uribe S, Sotelo, J. Segmentation of 4D Flow MR image obtained by Cardiovascular Magnetic Resonance Imaging. 2024 IEEE International Conference on Automation/XXVI Congress of the Chilean Association of Automatic Control (ICA-ACCA), IEEE. 12-16 August 2024. DOI: 10.1109/ICA-ACCA62622.2024.10766455 [Conference]

•[2024] Ponce A, Salas R, Garcia J, Uribe S, Sotelo, J. Automation of 4D Flow MR Image Processing Obtained by Cardiovascular Magnetic Resonance Imaging. 2024 L Latin American Computer Conference (CLEI), IEEE. 12-16 August 2024. DOI: 10.1109/CLEI64178.2024.10700580 [Conference]

•[2024] Jara S, Salas R, Ñanculef R, Valverde I, Uribe S, Sotelo, J. Prediction of Peak-to-Peak Pressure Gradient in Patients with Aortic Coarctation Using Physics-Informed Neural Networks. 2024 L Latin American Computer Conference (CLEI), IEEE. 12-16 August 2024. DOI: 10.1109/CLEI64178.2024.10700502 [Conference]

•[2023] Bissell, M.M., Raimondi, F., Ait Ali, L. et al. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. J Cardiovasc Magn Reson 25, 40 (2023). https://doi.org/10.1186/s12968-023-00942-z [WoS - Q1, Impact Factor: 5.0]

•[2023] Gill H, Fernandes JF, Nio A, Dockerill C, Shah N, Ahmed N, Raymond J, Wang S, Sotelo J, Urbina J, Uribe S, Rajani R, Rhode K, Lamata P. Aortic Stenosis: Haemodynamic Benchmark and Metric Reliability Study. J. of Cardiovasc. Trans. Res. (2023). https://doi.org/10.1007/s12265-022-10350-w [WoS - Q2, Impact Factor: 3.2]

•[2023] Diego Mellado, Marvin Querales, Julio Sotelo, Eduardo Godoy, Fabian Pardo, Scarlett Lever, Steren Chabert, Rodrigo Salas. "A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings," 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM), Mexico City, Mexico, 2023, pp. 1-5, DOI: 10.1109/SIPAIM56729.2023.10373511 [Conference]

•[2022] Cox A, Ortiz-Puerta D, Sotelo J, Uribe S, Hurtado DE. Mechanics-informed snakes isogeometric analysis (MISIGA): an image-based method for the estimation of local deformation and strain in blood vessels. Engineering with Computers 38, 4043–4060 (2022). https://doi.org/10.1007/s00366-022-01738-y [WoS - Q1, Impact Factor: 7.6]

•[2022] Denecken E, Sotelo J, Arrieta C, Andia ME, Uribe S. Impact of Respiratory Gating on Hemodynamic Parameters from 4D Flow MRI. Applied Sciences. 2022, 12, 2943. https://doi.org/10.3390/app12062943. [WoS - Q2, Impact Factor: 2.5]

•[2022] Franco P, Sotelo J, Guala A, Dux-Santoy L, Evangelista A, Rodríguez-Palomares J, Mery D, Salas R, Uribe S. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Computers in Biology and Medicine. 2022 Feb; 141:105147. https://doi.org/10.1016/j.compbiomed.2021.105147 [WoS - Q1, Impact Factor: 6.7]

•[2022] David Marlevi, Jorge Mariscal-Harana, Nicholas S Burris, Julio Sotelo, Bram Ruijsink, Myrianthi Hadjicharalambous, Liya Asner, Eva Sammut, Radomir Chabiniok, Sergio Uribe, Reidar Winter, Pablo Lamata, Jordi Alastruey, David Nordsletten. Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy. Journal of Cardiovascular Translational Research. 2022 Aug;15(4):692-707. https://doi.org/10.1007/s12265-021-10181-1 [WoS - Q2, Impact Factor: 3.2]

•[2022] Sotelo J, Franco P, Guala A, Dux-Santoy L, Ruiz-Muñoz A, Evangelista A, Mella H, Mura J, Hurtado DE, Rodríguez-Palomares JF, Uribe S. Fully Three-Dimensional Hemodynamic Characterization of Altered Blood Flow in Bicuspid Aortic Valve Patients With Respect to Aortic Dilatation: A Finite Element Approach. Frontiers in Cardiovascular Medicine. 2022 May 18;9:885338. https://doi.org/10.3389/fcvm.2022.885338 [WoS - Q2, Impact Factor: 3.2]

•[2022] Mayoral I, Bevilacqua E, Gómez G, Hmadcha A, González-Loscertales I, Reina E, Sotelo J, Domínguez A, Pérez-Alcántara P, Smani Y, González-Puertas P, Mendez A, Uribe S, Smani T, Ordoñez A, Valverde I. Tissue engineered in-vitro vascular patch fabrication using hybrid 3D printing and electrospinning. Materials Today Bio. 2022 Apr 14;14:100252. https://doi.org/10.1016/j.mtbio.2022.100252 [WoS - Q1, Impact Factor: 10.8]

•[2022] Garay J, Mella H, Sotelo J, Cárcamo C, Uribe S, Bertoglio C, Mura J. Assessment of 4D flow MRI's quality by verifying its Navier-Stokes compatibility. International Journal for Numerical Methods in Biomedical Engineering. 2022 Jun;38(6):e3603. https://doi.org/10.1002/cnm.3603 [WoS - Q2, Impact Factor: 2.6]

•[2022] Joaquín Mura, Julio Sotelo, Hernán Mella, James Wong, Tarique Hussain, Bram Ruijsink, Sergio Uribe. Non-invasive local pulse wave velocity using 4D-flow MRI. Biomedical Signal Processing and Control. 2022 Jan; 71(B):103259. https://doi.org/10.1016/j.bspc.2021.103259 [WoS - Q1, Impact Factor: 5.7]

•[2022] Julio Sotelo, Malenka M Bissell, Yaxin Jiang, Hernan Mella, Joaquín Mura, Sergio Uribe. Three-dimensional quantification of circulation using finite element methods in 4D Flow MR Data of the Thoracis Aorta. Magnetic Resonanece in Medicine. 2022 Feb;87(2):1036-1045. https://doi.org/10.1002/mrm.29004 [WoS - Q2, Impact Factor: 3.2]

•[2022] Julio Sotelo, Israel Valverde, Duarte Martins, Damien Bonnet, Nathalie Boddaert, Kuberan Pushparajan, Sergio Uribe, Francesca Raimondi. Impact of aortic arch curvature in flow hemodynamics in patients with transposition of the great arteries after arterial switch operation. European Heart Journal - Cardiovascular Imaging. 2022 Feb 22;23(3):402-411. https://doi.org/10.1093/ehjci/jeaa416 [WoS - Q1, Impact Factor: 8.9]

•[2022] Eduardo Cavieres, Cristian Tejos, Rodrigo Salas, Julio Sotelo, "Automatic segmentation of brain tumor in multi-contrast magnetic resonance using deep neural network," Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125670B. DOI: https://doi.org/10.1117/12.2670375 [Conference]

•[2022] Alejandro León, Rodrigo Herrera, Jesús Urbina, Rodrigo Salas, Sergio Uribe, Julio Sotelo, "VENTSEG: efficient open source framework for ventricular segmentation," Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125670Q. DOI: https://doi.org/10.1117/12.2669932 [Conference]

•[2022] Eduardo Godoy, Steren Chabert, Marvin Querales, Julio Sotelo, Denis Parra, Carlos Fernandez, Diego Mellado, Alejandro Veloz, Scarlett Lever, Fabian Pardo, Ayleen Bertini, Yomar Molina, Claudia Díaz, Rodrigo Ferreira, Rodrigo Salas, "A named entity recognition framework using transformers to identify relevant clinical findings from mammographic radiological reports," Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125670X. DOI: https://doi.org/10.1117/12.2670228 [Conference]

•[2021] Franco P, Sotelo J, Montalba C, Ruijsink B, Kerfoot E, Nordsletten D, Mura J, Hurtado D, Uribe S. Comprehensive Assessment of Left Intraventricular Hemodynamics Using a Finite Element Method: An Application to Dilated Cardiomyopathy Patients. Applied Sciences. 2021; 11(23):11165. https://doi.org/10.3390/app112311165 [WoS - Q2, Impact Factor: 2.5]

•[2021] David Nolte, Jesus Urbina, Julio Sotelo, Leo Soka, Cristian Montalba, Israel Valverde, Axel Osses, Sergio Uribe, Cristobal Bertoglio. Validation of 4D Flow based relative pressure maps in aortic flows. Medical Image Analysis. 2021 Dec;74:102195. https://doi.org/10.1016/j.media.2021.102195 [WoS - Q1, Impact Factor: 14.0]

•[2021] Hernán Mella, Joaquín Mura, Julio Sotelo, Sergio Uribe. A comprehensive comparison between shortest-path HARP refinement, SinMod, and DENSEanalysis processing tools applied to CSPAMM and DENSE images. Magnetic Resonance Imaging, 2021 Nov;83:14-26. https://doi.org/10.1016/j.mri.2021.07.001. [WoS - Q3, Impact Factor: 2.1]

•[2021] David Marlevi, Julio Sotelo, Ross Grogan-Kaylor; Yunus Ahmed, Sergio Uribe, Himanshu J. Patel, Elazer R. Edelman, David A. Nordsletten, Nicholas S. Burris. False lumen pressure estimation in type B aortic dissection using 4D flow cardiovascular magnetic resonance: comparisons with aortic growth. Journal of Cardiovascular Magnetic Resonance 23, 51 (2021). https://doi.org/10.1186/s12968-021-00741-4 [WoS - Q1, Impact Factor: 5.0]

•[2021] Evangeline Warmerdam, Hans C. van Assen, Julio Sotelo, Heynric B. Grotenhuis. Abnormal vortex formation in the right pulmonary artery after the arterial switch operation. European Heart Journal - Case Reports. 2021 Jan 15;5(1):ytaa549. https://doi.org/10.1093/ehjcr/ytaa549 [WoS - Q4, Impact Factor: 0.8]

•[2021] Hernán Mella, Joaquín Mura, Hui Wang, Michael D. Taylor, Radomir Chabiniok, Jaroslav Tintera, Julio Sotelo, Sergio Uribe. HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion from Tagged MR Images. IEEE transactions on medical imaging. 2021 Apr;40(4):1240-1252. https://doi.org/10.1109/TMI.2021.3051092 [WoS - Q1, Impact Factor: 12.4]

•[2020] Dux-Santoy L, Guala A, Sotelo J, Uribe S, Teixidó-Turà G, Evangelista A, Rodríguez-Palomares JF. Response by Dux-Santoy et al to Letter Regarding Article, “Low and Oscillatory Wall Shear Stress Is Not Related to Aortic Dilation in Patients With Bicuspid Aortic Valve: A Time-Resolved 3-Dimensional Phase-Contrast Magnetic Resonance Imaging Study”. Arteriosclerosis, Thrombosis, and Vascular Biology. 2020 Apr;40(4):e116-e117. https://doi.org/10.1161/ATVBAHA.120.314057 [WoS - Q1, Impact Factor: 8.7]

•[2020] Burris NS, Nordsletten DA, Sotelo JA, Grogan-Kaylor R, Houben IB, Figueroa CA, Uribe S, Patel HJ. False lumen ejection fraction predicts growth in type B aortic dissection: preliminary results. European Journal of Cardio-Thoracic Surgery, 2020 May 1;57(5):896-903. https://doi.org/10.1093/ejcts/ezz343 [WoS - Q1, Impact Factor: 3.4]

•[2020] Dux-Santoy L, Guala A, Sotelo J, Uribe S, Teixidó-Turà G, Ruiz-Muñoz A, Hurtado DE, Valente F, Galian-Gay L, Gutiérrez L, González-Alujas T, Johnson KM, Wieben O, Ferreira I, Evangelista A, Rodríguez-Palomares JF. Low and Oscillatory Wall Shear Stress Is Not Related to Aortic Dilation in Patients With Bicuspid Aortic Valve: A Time-Resolved 3-Dimensional Phase-Contrast Magnetic Resonance Imaging Study. Arteriosclerosis, Thrombosis, and Vascular Biology. 2020 Jan;40(1):e10-e20. https://doi.org/10.1161/ATVBAHA.119.313636 [WoS - Q1, Impact Factor: 8.7]

•[2018] Sotelo J, Dux-Santoy L, Guala A, Rodríguez-Palomares J, Evangelista A, Sing-Long C, Urbina J, Mura J, Hurtado DE, Uribe S. 3D axial and circumferential wall shear stress from 4D flow MRI data using a finite element method and a laplacian approach. Magnetic Resonance in Medicine. 2018 May;79(5):2816-2823. https://doi.org/10.1002/mrm.26927 [WoS - Q2, Impact Factor: 3.2]

•[2018] Montalba C, Urbina J, Sotelo J, Andia ME, Tejos C, Irarrazaval P, Hurtado DE, Valverde I, Uribe S. Variability of 4D flow parameters when subjected to changes in MRI acquisitions parameters using a realistic thoracic aortic phantom. Magnetic Resonance in Medicine. 2018 Apr;79(4):1882-1892. https://doi.org/10.1002/mrm.26834 [WoS - Q2, Impact Factor: 3.2]

•[2018] Sotelo J, Urbina J, Valverde I, Mura J, Tejos C, Irarrazaval P, Andia ME, Hurtado DE, Uribe S. Three-dimensional quantification of Vorticity and Helicity from 3D cine PC- MRI using finite element interpolations. Magnetic Resonance in Medicine. 2018 Jan;79(1):541-553. https://doi.org/10.1002/mrm.26687 [WoS - Q2, Impact Factor: 3.2]

•[2017] Sotelo J, Bächler P, Urbina J, Crelier G, Toro L, Ferreiro M, Valverde I, Andia M, Tejos C, Irarrazaval P, Uribe S. Quantification of pulmonary regurgitation in patients with repaired Tetralogy of Fallot by 2D phase-contrast MRI: Differences between the standard method of velocity averaging and a pixel-wise analysis. JRSM Cardiovasc Diseases. 2017 Jan-Dec; 6: 2048004017731986. https://doi.org/10.1177/2048004017731986 [WoS - Q4, Impact Factor: 1.5]

•[2016] Mura J, Pino AM, Sotelo J, Valverde I, Tejos C, Andia ME, Irarrazaval P, Uribe S. Enhancing the Velocity data from 4D flow MR Images by Reducing its Divergence. IEEE transactions on medical imaging. 2016 Oct;35(10):2353-2364. https://doi.org/10.1109/TMI.2016.2570010 [WoS - Q1, Impact Factor: 12.4]

•[2016] Urbina J, Sotelo JA, Springmüller D, Montalba C, Letelier K, Tejos C, Irarrázaval P, Andia ME, Razavi R, Valverde I, Uribe SA. Realistic aortic phantom to study hemodynamics using MRI and cardiac catheterization in normal and aortic coarctation conditions. Journal of Magnetic Resonance Imaging. 2016 Sep;44(3):683-97. https://doi.org/10.1002/jmri.25208 [WoS - Q1, Impact Factor: 4.4]

•[2016] Sotelo J, Urbina J, Valverde I, Tejos C, Irarrazaval P, Andia ME, Uribe S, Hurtado DE. 3D quantification of wall shear stress and oscillatory shear index using a finite-element method in 3D CINE PC-MRI data of the thoracic aorta. IEEE transactions on medical imaging. 2016 Jun;35(6):1475-87. https://doi.org/10.1109/TMI.2016.2517406 [WoS - Q1, Impact Factor: 12.4]

•[2015] Aguirre-Reyes DF, Sotelo JA, Arab JP, Arrese M, Tejos R, Irarrazaval P, Tejos C, Uribe SA, Andia ME. Intrahepatic portal vein blood volume estimated by non-contrast Magnetic Resonance Imaging for the assessment of portal hypertension. Magnetic Resonance Imaging. 2015 Oct;33(8):970-7. https://doi.org/10.1016/j.mri.2015.06.016 [WoS - Q3, Impact Factor: 2.1]

•[2015] Sotelo J, Urbina J, Valverde I, Tejos C, Irarrázaval P, Hurtado DE, Uribe S. Quantification of wall shear stress using a finite-element method in multidimensional phase contrast MR data of the thoracic aorta. Journal of Biomechanics. 2015 Jul 16;48(10):1817-27. https://doi.org/10.1016/j.jbiomech.2015.04.038 [WoS - Q2, Impact Factor: 2.3]

•[2015] Valverde I, Gomez G, Coserria JF, Suarez-Mejias C, Uribe S, Sotelo J, Velasco MN, Santos De Soto J, Hosseinpour AR, Gomez-Cia T. 3D printed models for planning endovascular stenting in transverse aortic arch hypoplasia: 3D Cardiovascular Model Simulation. Catheterization and Cardiovascular Interventions. 2015 May;85(6):1006-12. https://doi.org/10.1002/ccd.25810 [WoS - Q3, Impact Factor: 2.1]

•[2015] Jesús Urbina, Julio Sotelo, Cristian Tejos, Pablo Irarrazaval, Marcelo E. Andia, Reza Razavi, Israel Valverde, Sergio Uribe. A realistic MR compatible Aortic Phantom to validate hemodynamic parameters from MRI data: aortic coarctation patient comparison using catheterization. Journal of Cardiovascular Magnetic Resonance. 18th Annual SCMR Scientific Sessions, Nice, France. February 5-7. https://doi.org/10.1186/1532-429X-17-S1-P199 [Conference]

•[2015] Julio Sotelo, Jesus Urbina, Israel Valverde, Cristian Tejos, Pablo Irarrazaval, Daniel E. Hurtado, Sergio Uribe. 3D Quantification of hemodynamics parameters of pulmonary artery and aorta using finite-element interpolations in 4D flow MR data. Journal of Cardiovascular Magnetic Resonance. 18th Annual SCMR Scientific Sessions, Nice, France. February 5-7. https://doi.org/10.1186/1532-429X-17-S1-Q27 [Conference]

•[2015] Julio Sotelo, Israel Velverde, Philipp Beerbaum, Gerald Greil, Tobias Schaeffter, Reza Razavi, Daniel E. Hurtado, Sergio Uribe, C. Alberto Figueroa. Pressure gradient prediction in aortic coarctation using a computational-fluid-dynamics model: validation against invasive pressure catheterization at rest and pharmacological stress. Journal of Cardiovascular Magnetic Resonance. 18th Annual SCMR Scientific Sessions, Nice, France. February 5-7. https://doi.org/10.1186/1532-429X-17-S1-Q78 [Conference]

•[2014] Julio Sotelo, Jesus Urbina, Ernesto Ortiz, Cristian Tejos, Israel Valverde, Daniel E. Hurtado, Sergio Uribe. Quantification of wall shear stress using finite-element interpolations in multidimensional phase contrast MR data of the thoracic aorta. Journal of Cardiovascular Magnetic Resonance. 17th Annual SCMR Scientific Sessions, New Orleans, LA, USA. January 16 -19. https://doi.org/10.1186/1532-429X-16-S1-P371 [Conference]

•[2014] Julio Sotelo, Jesus Urbina, Ernesto Ortiz, Cristian Tejos, Israel Valverde, Daniel E. Hurtado, Sergio Uribe. 3D quantification of wall shear stress using finite-element interpolations from 4D flow MR data in the Thoracic Aorta. Journal of Cardiovascular Magnetic Resonance. 17th Annual SCMR Scientific Sessions, New Orleans, LA, USA. January 16 -19. https://doi.org/10.1186/1532-429X-16-S1-P356 [Conference]

•[2013] Bächler P, Pinochet N, Sotelo J, Crelier G, Irarrazaval P, Tejos C, Uribe S. Assessment of normal flow patterns in the pulmonary circulation by using 4D magnetic resonance velocity mapping. Magnetic Resonance Imaging. 2013 Feb;31(2):178-88. https://doi.org/10.1016/j.mri.2012.06.036 [WoS - Q3, Impact Factor: 2.1]

•[2012] Jesús Urbina, Julio Sotelo, Cristián Tejos, Daniel Hurtado, Marcelo Andía, Pablo Irarrázaval, Sergio Uribe. Medición de presiones relativas en aorta torácica y arteria pulmonar de voluntarios sanos y pacientes con Tetralogía de Fallot reparada utilizando la secuencia de 4D Flow de resonancia magnética cardiaca. Revista Chilena de Radiología 2012;18(4):157-162. https://doi.org/10.4067/S0717-93082012000400003 [SCIELO]

•[2012] Julio Sotelo, Rodrigo Salas, Cristián Tejos, Sterén Chabert, Sergio Uribe. Análisis cuantitativo de variables hemodinámicas de la aorta obtenidas de 4D Flow. Revista Chilena de Radiología 2012;18(2):62-67. https://doi.org/10.4067/S0717-93082012000200005 [SCIELO]

•[2012] Julio Sotelo, Pablo Bächler, Steren Chabert, Daniel Hurtado, Pablo Irarrazaval, Cristian Tejos, Sergio Uribe. Normal Values of Wall Shear Stress in the Pulmonary Artery from 4D flow data. Journal of Cardiovascular Magnetic Resonance. 15th Annual SCMR Scientific Sessions, Orlando, FL, USA. February 2 - 5. https://doi.org/10.1186/1532-429X-14-S1-W66 [Conference]