Profesores

Julio Sotelo
julio.sotelo@inf.utfsm.cl
Doctorado en Ciencias de la Ingeniería, Pontificia Universidad Católica de Chile.
Magíster en Ciencias de la Ingeniería, Pontificia Universidad Católica de Chile.
Magíster en Data Science, Universidad del Desarrollo.
Magíster en Ciencias de la Ingeniería, mención en Ingeniería Biomédica, Universidad de Valparaíso.
Ingeniero Civil Biomédico, Universidad de Valparaíso.

Áreas de especialización

Resonancia magnética, procesamiento y reconstrucción de imágenes, elementos finitos, dinámica de fluidos, biomecánica, machine learning, visualización y análisis de datos.
Oficina K-521 Campus San Joaquín
+56223037215
Publicaciones
•2025 - Denecken, E., Arrieta, C., Sotelo, J., Mella, H., & Uribe, S. (2025). 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

•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

•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 (In Press)

•2025 - 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

•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 - Impact Factor: 2.5] (In press - WoS)

•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 - Impact Factor: 2.1] (WoS)

•2024 - 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 (SCOPUS)

•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 (SCOPUS)

•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 (SCOPUS)

•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 [Impact Factor: 1.838] (WOS)

•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. [Impact Factor: 0.78] (WOS)

•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 [Impact Factor: 6.903] (WOS)

•2023 - Gill, H., Fernandes, J.F., 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 [Impact Factor: 3.216] (WOS)

•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. Symposium on Medical Information Processing and Analysis (SIPAIM) México City, México. November 15-17 (Publicado: 2024 – Mellado D, Querales M, Sotelo J, Godoy E, Pardo F, Lever S, Chabert S, Salas R. A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings. 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM). IEEE 15-17 November 2023. DOI: https://doi.org/10.1109/SIPAIM56729.2023.10373511 (SCOPUS)

•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 [Impact Factor: 7.963] (WOS)

•2022 - Denecken, E.; Sotelo, J.; Arrieta, C.; Andia, M.E.; Uribe, S. Impact of Respiratory Gating on Hemodynamic Parameters from 4D Flow MRI. Applied Sciences. 2022, 12, 2943. https://doi.org/10.3390/app12062943. [Impact Factor: 2.679] (WOS)

•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 [Impact Factor: 6.698] (WOS)

•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 [Impact Factor: 3.554] (WOS)

•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 [Impact Factor: 6.05] (WOS)

•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 [Impact Factor: 10.761] (WOS)

•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 [Impact Factor: 2.648] (WOS)

•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 [Impact Factor: 3.88] (WOS)

•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 [Impact Factor: 4.668] (WOS)

•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 [Impact Factor: 9.13] (WOS)

•2022 – Eduardo Cavieres, Cristian Tejos, Rodrigo Salas, Julio Sotelo. Automatic Segmentation of brain tumor in multi-contrast magnetic resonance using deep neural network. Symposium on Medical Information Processing and Analysis (SIPAIM), Valparaíso Chile, November 9 -11. (Publicado: 2023 – Cavieres E, Tejos C, Salas R, Sotelo J. Automatic segmentation of brain tumor in multi-contrast magnetic resonance using deep neural network. Proceedings Volume 12567, 18th International Symposium on Medical Information Processing and Analysis (SIPAIM). SPIE Digital Library, 125670B (2023) https://doi.org/10.1117/12.2670375) (SCOPUS)

•2022 – Manuel León, Rodrigo Herrera, Jesús Urbina, Rodrigo Salas, Sergio Uribe, Julio Sotelo. VENTSEG: Efficient Open Source Framework for Ventricular Segmentation. Symposium on Medical Information Processing and Analysis (SIPAIM), Valparaíso Chile, November 9 -11. (Selercted as the Best Paper of the Conference) (Publicado: 2023 – Leon A, Herrera R, Urbina J, Salas R, Uribe S, Sotelo J. VENTSEG: efficient open source framework for ventricular segmentation. Proceedings Volume 12567, 18th International Symposium on Medical Information Processing and Analysis (SIPAIM). SPIE Digital Library, 125670Q (2023) https://doi.org/10.1117/12.2669932) (SCOPUS)

•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. Symposium on Medical Information Processing and Analysis (SIPAIM), Valparaíso Chile, November 9 -11. (Publicado: 2023 – Godoy E, Chabert S, Querales M, Sotelo J, Parra D, Fernandez C, Mellado D, Veloz A, Lever S, Pardo F, Bertini A, Molina Y, Díaz C, Ferreira R, Salas R. A named entity recognition framework using transformers to identify relevant clinical findings from mammographic radiological reports. Proceedings Volume 12567, 18th International Symposium on Medical Information Processing and Analysis (SIPAIM). SPIE Digital Library, 125670X (2023) https://doi.org/10.1117/12.2670228) (SCOPUS)

•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 [Impact Factor: 2.679] (WOS)

•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 [Impact Factor: 13.83] (WOS)

•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. [Impact Factor: 2.546] (WOS)

•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 [Impact Factor: 6.903] (WOS)

•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 [Impact Factor: 0.78] (WOS)

•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 [Impact Factor: 10.05] (WOS)

•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 [Impact Factor: 10.51] (WOS)

•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 [Impact Factor: 4.191] (WOS)

•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 [Impact Factor: 10.51] (WOS)

•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 [Impact Factor: 4.668] (WOS)

•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/1002/mrm.26834 [Impact Factor: 4.668] (WOS)

•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 [Impact Factor: 4.668] (WOS)

•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 [Impact Factor: N.A.] (SCOPUS)

•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 [Impact Factor: 10.05] (WOS)

•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 [Impact Factor: 4.813] (WOS)

•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 [Impact Factor: 10.05] (WOS)

•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 [Impact Factor: 2.546] (WOS)

•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 [Impact Factor: 1.606] (WOS)

•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 [Impact Factor: 2.585] (WOS)

•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  [Impact Factor: 2.546] (WOS)

•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 [Impact Factor: NA] (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 [Impact Factor: NA] (SCIELO)

Proyectos
•2023-2025. Coinvestigador ANID- FONDEF IT23I0040. Cuantificación automática de densidad mamaria usando Inteligencia Artificial, como herramienta de apoyo en pesquisa de cáncer mamario: mamAI-dens. Universidad de Valparaíso.

•2023-2026. Coinvestigador ANID- FONDECYT 1230864. Novel mathematical methods towards stable non-invasive estimation in viscoelastic tissues: Applications and validations using multifrequency ultrasound elastography. Universidad Tecnica Federico Santa Maria.

•2022-2031. Investigador Adjunto ICN2021_004. Millennium Institute for Intelligent Healthcare Engineering – iHEALTH. ANID – Millennium Science Initiative Program – ICN2021_004. Pontificia Universidad Católica de Chile.

•2020-2023. Investigador Principal FONDECYT de iniciación en la investigación 11200481. Deep-Learning-Atlas-Based method to optimize the postprocessing and evaluation of cardiovascular index and biomarkers from magnetic resonance imaging. Universidad de Valparaiso- Universidad Técnica Federico Santa Maria.

•2020-2022. Coinvestigador FONDEF I+D ID20i10332. Sistema de inteligencia artificial para el apoyo en el diagnóstico y priorización de exámenes mamográficos. Universidad de Valparaíso.

•2018-2021. Investigador Joven NCN17_129. Millennium Nucleus in Cardiovascular Magnetic Resonance (CardioMR). ANID – Millennium Science Initiative Program – NCN17_129. Pontificia Universidad Católica de Chile.

•2017-2020. Investigador Principal CONICYT-FONDECYT Postdoctorado 3170737. Acceleration and validation of 4D flow data acquisitions obtained by cardiovascular magnetic resonance. Pontificia Universidad Católica de Chile.

•2016-2018. Investigador Tesista CONICYT-ANILLO ACT 1416. Magnetic resonance imaging technology for aging related diseases: brain, heart and vessels. Pontificia Universidad Católica de Chile.

•2014-2017. Investigador Tesista CONICYT-FONDECYT 1141036. Non-invasive 3D full-field Quantification of cardiovascular 4D flow MR images. Pontificia Universidad Católica de Chile.

•2010-2013. Investigador Tesista CONICYT-FONDECYT 11100427. Improvements for Magnetic Resonance Non-Contrast Enhanced Angiography and Flow Imaging Techniques. Pontificia Universidad Católica de Chile.

•2006-2008. Personal Técnico CONICYT-FONDEF D06I1094. Mobile non-invasive monitoring and chronic disease management system for patients with diabetes. Universidad de Valparaíso.
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