Julio A. Sotelo Parraguez

Julio A. Sotelo Parraguez

Associate Professor, Universidad Técnica Federico Santa María & Adjunct Senior Lecturer, Monash University

julio.sotelo@usm.cl Google Scholar LinkedIn ORCID UTFSM iHEALTH

Biography

I am Associate Professor in the Department of Informatics at Universidad Técnica Federico Santa María in Santiago, Chile. I also serve as an Adjunct Senior Lecturer in the Department of Medical Imaging and Radiation Sciences at Monash University, Australia, and as a Principal Investigator at the Millennium Institute for Intelligent Healthcare Engineering (iHEALTH).

I possess a multidisciplinary academic background that seamlessly integrates engineering with data science. I began my career at the Universidad de Valparaíso, where I earned my degree in Civil Biomedical Engineering in 2009 and a Master of Engineering Sciences specializing in Biomedical Engineering in 2011.

In 2016, I obtained my PhD and a second Master of Engineering Sciences from the Pontificia Universidad Católica de Chile (PUC). Following my doctoral studies, I completed a four-year postdoctoral fellowship (2016–2020) at PUC’s Biomedical Imaging Center (CIB) and the Department of Electrical Engineering. During this tenure, I also served as a researcher at the Millennium Nucleus CardioMR, focusing on the intersection of medical technology and clinical research. To further expand my technical expertise, I earned a Master of Data Science from the Universidad del Desarrollo in 2022.

My primary research interests include biomedical image processing, cardiovascular magnetic resonance imaging (MRI), and biomechanics. Over the past 12 years, I have developed several numerical methods for extracting quantitative information from 4D Flow MRI data, with a dedicated focus on accelerating the clinical translation of these developments. I have participated in numerous high-impact projects related to cardiovascular MRI, including 4D Flow MRI, cardiac strain quantification, and cardiovascular mechanics.

Beyond my research, I have cultivated an extensive teaching and academic mentoring track record across undergraduate, master's, diploma, and doctoral programs at Universidad Técnica Federico Santa María, Universidad de Valparaíso, and Pontificia Universidad Católica de Chile. Over the past decade, I have designed and delivered core and specialized courses in Medical Image Processing and Reconstruction, Magnetic Resonance Imaging, Artificial Intelligence for Medical Diagnostics, Discrete Mathematics, and Numerical Optimization. In addition, I have supervised and co-supervised numerous Master's theses and over 35 undergraduate engineering theses across Informatics, Biomedical, and Mechanical Engineering, fostering the next generation of engineers and researchers at the interface of computing, data science, and cardiovascular health.

Highlighted Research Projects

  • 2026-2029 Multi-Modal Estimation of Advanced Hemodynamic Parameters in 4D Flow MRI and Echocardiography, using Neural Networks
    Role: Principal Investigator (PI) | Fund: ANID-FONDECYT 1261167 | Amount: USD$ 264,824
  • 2025-2026 Validación de modelos de simulación computacional de fluidos y redes neuronales informadas por la física...
    Role: Principal Investigator (PI) | Fund: Proyecto Multidisciplinario Interno UTFSM PI_M_25_03 | Amount: USD$ 18,000
  • 2023-2025 Cuantificación automática de densidad mamaria usando Inteligencia Artificial, como herramienta de apoyo en pesquisa de cáncer mamario: mamAI-dens
    Role: Co-Principal Investigator (Co-PI) | Fund: ANID-FONDEF IT23I0040 | Amount: USD$ 224,498
  • 2023-2026 Novel mathematical methods towards stable non-invasive estimation in viscoelastic tissues
    Role: Co-Principal Investigator (Co-PI) | Fund: ANID-FONDECYT 1230864 | Amount: USD$ 241,543
  • 2022-2031 Millennium Institute for Intelligent Healthcare Engineering – iHEALTH
    Role: Principal Investigator (PI) | Fund: ANID – Millennium Science Initiative Program – ICN2021_004 | Amount: USD$ 10,594,005
  • 2020-2023 Deep-Learning-Atlas-Based method to optimize the postprocessing and evaluation of cardiovascular index and biomarkers from magnetic resonance imaging
    Role: Principal Investigator (PI) | Fund: FONDECYT de iniciación 11200481 | Amount: USD$ 87,082
  • 2020-2022 Sistema de inteligencia artificial para el apoyo en el diagnóstico y priorización de exámenes mamográficos
    Role: Co-Principal Investigator (Co-PI) | Fund: FONDEF I+D ID20i10332 | Amount: USD$ 211,967
  • 2018-2021 Millennium Nucleus in Cardiovascular Magnetic Resonance (CardioMR)
    Role: Young Researcher | Fund: ANID – Millennium Science Initiative Program – NCN17_129 | Amount: USD$ 635,761

GitHub Projects

GitHub Profile

Open-source scientific toolboxes, computational fluid dynamics packages, and machine learning models for biomedical imaging.

4D-Flow-Matlab-Toolbox
Featured Open Source

A comprehensive MATLAB toolbox and graphical application for the non-invasive quantification and visualization of 3D/4D hemodynamic and geometrical parameters from 4D Flow Cardiovascular Magnetic Resonance (CMR) data using Finite Element Methods (FEM). Includes interactive modules for segmentation, finite element mesh generation (using iso2mesh), wall shear stress (WSS), vorticity, helicity, circulation, and relative pressure difference mapping.

4D Flow MATLAB Toolbox Methodology and Hemodynamic Quantification Pipeline
Click to enlarge diagram
MATLAB 4D Flow MRI Finite Elements (FEM) Hemodynamics Wall Shear Stress (WSS) Relative Pressure Biomechanics
Explore Repository User Guide (PDF)
VENTSEG_NEW (VENTSEG 4D)
Deep Learning & AI Suite

An interactive 4D Cine Cardiac MRI medical image viewer and artificial intelligence quantification workstation. Powered by a deep learning multi-class ResNet34-UNet architecture, it provides automated segmentation of the left ventricle (LV), right ventricle (RV), and myocardium (MYO) across full cardiac cycles, along with real-time volumetric curve tracking and clinical biomarker quantification (EDV, ESV, Stroke Volume, Ejection Fraction, and Myocardial Mass).

VENTSEG 4D - Cardiac MRI Medical Image Viewer & AI Quantification Suite Interface
Click to enlarge interface
Python PyTorch PyQt6 ResNet34-UNet Cardiac MRI 4D Cine Imaging Ventricular Segmentation Deep Learning Biomedical AI
Explore Repository Documentation & Guide
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Future Open-Source Releases

Additional code repositories, deep learning models for medical image reconstruction, and cardiovascular analysis tools will be featured here as they are published.

Scientific Publications

Journal Publications (WoS / SCIELO / Scopus / Non-Indexed)

2026
4D Flow Acquisition Parameters as Technical Correlates of Hemodynamic Measurements: An Analysis of the multicenter Tetralogy of Fallot Registry of 4D flow Energetics and Kinetics (TREK). WoS - IF: 5.0
Loke, Y.-H., Lee, M., O’Hara, R., Muegge, W., Drews, K., Gonzalez, B., Axt-Fliedner, R., Klein, J., Friesen, R., Dove, M., Ta, H., Kochav, J., Goyal, A., Schoeneberg, L., Christopher, A., Olivieri, L., Krishnamurthy, R., Balaras, E., d’Udekem, Y., Sotelo, J., Taylor, M., Fricke, S., Bilionis, I., Meyers, BA., Capuano, F.
Journal of Cardiovascular Magnetic Resonance. https://doi.org/10.1016/j.jocmr.2026.102809
2026
Impact of Aging, Sex, and Hypertension on Aortoiliac Hemodynamics: A 4D Flow MRI Study. WoS - IF: 6.0
Liu Q, Wang X, Sotelo J, Lu Q, Song L, Uribe S, Zhang J, Yue W, Yang Q.
Journal of the American Heart Association. https://doi.org/10.1161/JAHA.126.049725
2026
Comprehensive Analysis of Relative Pressure Estimation in Type B Aortic Dissection Utilizing 4D-Flow MRI. WoS - IF: 12.3
Hardy, B., Zimmermann, J., Lechner, V., Bonini, M., Sotelo, J. A., Burris, N. S., Ennis, D. B., Marlevi, D., & Nordsletten, D. A.
IEEE Transactions on Medical Imaging, 1–1. https://doi.org/10.1109/tmi.2026.3725971
2026
4D flow cardiac magnetic resonance postprocessing in congenital heart disease: SCMR FLIICR workgroup recommendations WoS - IF: 6.1
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., & Rutz, T.
Journal of Cardiovascular Magnetic Resonance, 102789. https://doi.org/10.1016/j.jocmr.2026.102789
2026
AdaPR: Adaptive Plane Reformatting for 4D flow MRI using deep reinforcement learning WoS - IF: 6.4
Bisbal J, Sotelo J, Valdes MI, Irarrazaval P, Andia ME, García J, Rodriguez-Palomares J, Raimondi F, Tejos C, Uribe S.
Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2026.109546
2026
The Relationship between vortical flow and pressure gradient reversal in Pulmonary Hypertension—A 4D Analysis of cardiovascular magnetic resonance Flow Imaging WoS - IF: 2.4
Karim, R., Fyrdahl, A., Ramos, J. G., Melin, M., Sundblad, P., Sotelo, J., Wieslander, B., & Marlevi, D.
Pulmonary Circulation, 16(3). https://doi.org/10.1002/pul2.70350
2026
Uncertainty-aware automated labeling of intracranial arteries using deep learning WoS - IF: 3.9
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.
BMC Med Imaging. 2026 Mar 16. https://doi.org/10.1186/s12880-026-02276-5
2026
Wavelet‐Based Denoising Optimization for Endoscopic Gastric Slow‐Wave Recordings WoS - IF: 3.3
Tremain, P., Dowrick, J. M., Cheng, L. K., McKeage, J. W., Saavedra, C., Sotelo, J., & Angeli‐Gordon, T. R.
Healthcare Technology Letters, 13(1), e70052. https://doi.org/10.1049/htl2.70052
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 WoS - IF: 2.3
Liu, Q., Wang, X., Lu, Q., Song, L., Guan, X., Sotelo, J., Uribe, S., Zhang, C., Daniel, G., Sun, C., & Yang, Q.
Quantitative Imaging In Medicine And Surgery, 16(3), 240. https://doi.org/10.21037/qims-2025-1886
2026
Evaluating the impact of blood rheology in hemodynamic parameters by 4D Flow MRI in large vessels considering the hematocrit effect WoS - IF: 4.9
Mella, H., Galarce, F., Sekine, T., Sotelo, J., & Castillo, E.
Biomedical Signal Processing And Control, 111, 108145. https://doi.org/10.1016/j.bspc.2025.108145
2026
Evaluación automatizada de úlceras del pie diabético: Estimación de categorías PWAT mediante características radiómicas y aprendizaje automático SCIELO / Scopus
Márquez-Sandoval, M., Carvajal, B. M., Parraguez, J. S., & Aguilera, A.
Ingeniare. Revista Chilena De Ingeniería, 33. https://doi.org/10.64966/ingeniare.v33.24
2025
AI Applied to Cardiac Magnetic Resonance for Precision Medicine in Coronary Artery Disease: A Systematic Review WoS - IF: 2.3
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.
Journal of Cardiovascular Development and Disease, 12(9), 345. https://doi.org/10.3390/jcdd12090345
2025
Physics-Informed Neural Network for Modeling the Pulmonary Artery Blood Pressure from Magnetic Resonance Images: A Reduced-Order Navier–Stokes Model WoS - IF: 3.9
Jara, S., Sotelo, J., Ortiz-Puerta, D., Estévez, P. A., Uribe, S., Chabert, S., & Salas, R.
Biomedicines, 13(9), 2058. https://doi.org/10.3390/biomedicines13092058
2025
Identifying Clinically Relevant Findings in Breast Cancer using Deep Learning and Feature Attribution on Local Views from High-Resolution Mammography WoS - IF: 3.3
Mellado, D., Mayeta, L., Sotelo, J., Querales, M., Godoy, E., Lever, S., Pardo, F., Chabert, S., Salas, R.
Frontiers in Oncology. Volume 15 - 2025. https://doi.org/10.3389/fonc.2025.1601929
2025
Simultaneous acquisition of water, fat, and velocity images using a Phase‐Contrast T2*‐IDEAL method WoS - IF: 2.7
Denecken, E., Arrieta, C., Sotelo, J., Mella, H., & Uribe, S.
NMR in Biomedicine, 38(6). https://doi.org/10.1002/nbm.70049
2025
Radiomics-Driven Neuro-Fuzzy Framework for Rule Generation to Enhance Explainability in MRI-Based Brain Tumor Segmentation WoS - IF: 2.5
Mayeta L, Cavieres E, Salinas M, Mellado D, Ponce S, Torres F, Chabert S, Querales M, Sotelo J, Salas R.
Frontiers in Neuroinformatics Volume 19. https://doi.org/10.3389/fninf.2025.1550432
2025
Simultaneous acquisition of water, fat and velocity images using a phase-contrast 3p-Dixon method WoS - IF: 2.1
Denecken E, Arrieta C, Hernando D, Sotelo J, Mella H, Uribe S.
Magnetic Resonance Imaging, 118:110341 (2025). https://doi.org/10.1016/j.mri.2025.110341
2025
Characterising growth and early haemodynamic inefficiencies: Phase-Contrast MRI analysis of the aorta in post-Fontan Hypoplastic left heart syndrome Non-Indexed
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.
JTCVS Structural and Endovascular, 100086. https://doi.org/10.1016/j.xjse.2025.100086
2024
Impact of 4D- Flow CMR parameters on functional evaluation of Fontan circulation WoS - IF: 1.838
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.
Pediatr Cardiol (2024). https://doi.org/10.1007/s00246-024-03446-4
2024
Biomedical engineering research in Chilean universities - A bibliometric analysis WoS - IF: 0.78
Vásquez-Salgado, J., L. Figueroa, R., Sotelo, J., & Villalobos-Cid, M.
IEEE Latin America Transactions, 22(4), 339–351. https://doi.org/10.1109/TLA.2024.10472960
2023
4D Flow cardiovascular magnetic resonance consensus statement: 2023 update WoS - IF: 6.903
Bissell, M.M., Raimondi, F., Ait Ali, L. et al.
J Cardiovasc Magn Reson 25, 40 (2023). https://doi.org/10.1186/s12968-023-00942-z
2023
Aortic Stenosis: Haemodynamic Benchmark and Metric Reliability Study WoS - IF: 3.216
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.
J. of Cardiovasc. Trans. Res. (2023). https://doi.org/10.1007/s12265-022-10350-w
2022
Mechanics-informed snakes isogeometric analysis (MISIGA): an image-based method for the estimation of local deformation and strain in blood vessels WoS - IF: 7.963
Cox A, Ortiz-Puerta D, Sotelo J, Uribe S, Hurtado DE.
Engineering with Computers 38, 4043–4060 (2022). https://doi.org/10.1007/s00366-022-01738-y
2022
Impact of Respiratory Gating on Hemodynamic Parameters from 4D Flow MRI WoS - IF: 2.679
Denecken E, Sotelo J, Arrieta C, Andia ME, Uribe S.
Applied Sciences. 2022, 12, 2943. https://doi.org/10.3390/app12062943
2022
Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning WoS - IF: 6.698
Franco P, Sotelo J, Guala A, Dux-Santoy L, Evangelista A, Rodríguez-Palomares J, Mery D, Salas R, Uribe S.
Computers in Biology and Medicine. 2022 Feb; 141:105147. https://doi.org/10.1016/j.compbiomed.2021.105147
2022
Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy WoS - IF: 3.554
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.
Journal of Cardiovascular Translational Research. 2022 Aug;15(4):692-707. https://doi.org/10.1007/s12265-021-10181-1
2022
Fully Three-Dimensional Hemodynamic Characterization of Altered Blood Flow in Bicuspid Aortic Valve Patients With Respect to Aortic Dilatation: A Finite Element Approach WoS - IF: 6.05
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.
Frontiers in Cardiovascular Medicine. 2022 May 18;9:885338. https://doi.org/10.3389/fcvm.2022.885338
2022
Tissue engineered in-vitro vascular patch fabrication using hybrid 3D printing and electrospinning WoS - IF: 10.761
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.
Materials Today Bio. 2022 Apr 14;14:100252. https://doi.org/10.1016/j.mtbio.2022.100252
2022
Assessment of 4D flow MRI's quality by verifying its Navier-Stokes compatibility WoS - IF: 2.648
Garay J, Mella H, Sotelo J, Cárcamo C, Uribe S, Bertoglio C, Mura J.
International Journal for Numerical Methods in Biomedical Engineering. 2022 Jun;38(6):e3603. https://doi.org/10.1002/cnm.3603
2022
Non-invasive local pulse wave velocity using 4D-flow MRI WoS - IF: 3.88
Joaquín Mura, Julio Sotelo, Hernán Mella, James Wong, Tarique Hussain, Bram Ruijsink, Sergio Uribe.
Biomedical Signal Processing and Control. 2022 Jan; 71(B):103259. https://doi.org/10.1016/j.bspc.2021.103259
2022
Three-dimensional quantification of circulation using finite element methods in 4D Flow MR Data of the Thoracis Aorta WoS - IF: 4.668
Julio Sotelo, Malenka M Bissell, Yaxin Jiang, Hernan Mella, Joaquín Mura, Sergio Uribe.
Magnetic Resonance in Medicine. 2022 Feb;87(2):1036-1045. https://doi.org/10.1002/mrm.29004
2022
Impact of aortic arch curvature in flow hemodynamics in patients with transposition of the great arteries after arterial switch operation WoS - IF: 9.13
Julio Sotelo, Israel Valverde, Duarte Martins, Damien Bonnet, Nathalie Boddaert, Kuberan Pushparajan, Sergio Uribe, Francesca Raimondi.
European Heart Journal - Cardiovascular Imaging. 2022 Feb 22;23(3):402-411. https://doi.org/10.1093/ehjci/jeaa416
2021
Comprehensive Assessment of Left Intraventricular Hemodynamics Using a Finite Element Method: An Application to Dilated Cardiomyopathy Patients WoS - IF: 2.679
Franco P, Sotelo J, Montalba C, Ruijsink B, Kerfoot E, Nordsletten D, Mura J, Hurtado D, Uribe S.
Applied Sciences. 2021; 11(23):11165. https://doi.org/10.3390/app112311165
2021
Validation of 4D Flow based relative pressure maps in aortic flows WoS - IF: 13.83
David Nolte, Jesus Urbina, Julio Sotelo, Leo Soka, Cristian Montalba, Israel Valverde, Axel Osses, Sergio Uribe, Cristobal Bertoglio.
Medical Image Analysis. 2021 Dec;74:102195. https://doi.org/10.1016/j.media.2021.102195
2021
A comprehensive comparison between shortest-path HARP refinement, SinMod, and DENSEanalysis processing tools applied to CSPAMM and DENSE images WoS - IF: 2.546
Hernán Mella, Joaquín Mura, Julio Sotelo, Sergio Uribe.
Magnetic Resonance Imaging, 2021 Nov;83:14-26. https://doi.org/10.1016/j.mri.2021.07.001
2021
False lumen pressure estimation in type B aortic dissection using 4D flow cardiovascular magnetic resonance: comparisons with aortic growth WoS - IF: 6.903
David Marlevi, Julio Sotelo, Ross Grogan-Kaylor; Yunus Ahmed, Sergio Uribe, Himanshu J. Patel, Elazer R. Edelman, David A. Nordsletten, Nicholas S. Burris.
Journal of Cardiovascular Magnetic Resonance 23, 51 (2021). https://doi.org/10.1186/s12968-021-00741-4
2021
Abnormal vortex formation in the right pulmonary artery after the arterial switch operation WoS - IF: 0.78
Evangeline Warmerdam, Hans C. van Assen, Julio Sotelo, Heynric B. Grotenhuis.
European Heart Journal - Case Reports. 2021 Jan 15;5(1):ytaa549. https://doi.org/10.1093/ehjcr/ytaa549
2021
HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion from Tagged MR Images WoS - IF: 10.05
Hernán Mella, Joaquín Mura, Hui Wang, Michael D. Taylor, Radomir Chabiniok, Jaroslav Tintera, Julio Sotelo, Sergio Uribe.
IEEE transactions on medical imaging. 2021 Apr;40(4):1240-1252. https://doi.org/10.1109/TMI.2021.3051092
2020
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” WoS - IF: 10.51
Dux-Santoy L, Guala A, Sotelo J, Uribe S, Teixidó-Turà G, Evangelista A, Rodríguez-Palomares JF.
Arteriosclerosis, Thrombosis, and Vascular Biology. 2020 Apr;40(4):e116-e117. https://doi.org/10.1161/ATVBAHA.120.314057
2020
False lumen ejection fraction predicts growth in type B aortic dissection: preliminary results WoS - IF: 4.191
Burris NS, Nordsletten DA, Sotelo JA, Grogan-Kaylor R, Houben IB, Figueroa CA, Uribe S, Patel HJ.
European Journal of Cardio-Thoracic Surgery, 2020 May 1;57(5):896-903. https://doi.org/10.1093/ejcts/ezz343
2020
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 WoS - IF: 10.51
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.
Arteriosclerosis, Thrombosis, and Vascular Biology. 2020 Jan;40(1):e10-e20. https://doi.org/10.1161/ATVBAHA.119.313636
2018
3D axial and circumferential wall shear stress from 4D flow MRI data using a finite element method and a laplacian approach WoS - IF: 4.668
Sotelo J, Dux-Santoy L, Guala A, Rodríguez-Palomares J, Evangelista A, Sing-Long C, Urbina J, Mura J, Hurtado DE, Uribe S.
Magnetic Resonance in Medicine. 2018 May;79(5):2816-2823. https://doi.org/10.1002/mrm.26927
2018
Variability of 4D flow parameters when subjected to changes in MRI acquisitions parameters using a realistic thoracic aortic phantom WoS - IF: 4.668
Montalba C, Urbina J, Sotelo J, Andia ME, Tejos C, Irarrazaval P, Hurtado DE, Valverde I, Uribe S.
Magnetic Resonance in Medicine. 2018 Apr;79(4):1882-1892. https://doi.org/10.1002/mrm.26834
2018
Three-dimensional quantification of Vorticity and Helicity from 3D cine PC- MRI using finite element interpolations WoS - IF: 4.67
Sotelo J, Urbina J, Valverde I, Mura J, Tejos C, Irarrazaval P, Andia ME, Hurtado DE, Uribe S.
Magnetic Resonance in Medicine. 2018 Jan;79(1):541-553. https://doi.org/10.1002/mrm.26687
2017
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 WoS - IF: 1.5
Sotelo J, Bächler P, Urbina J, Crelier G, Toro L, Ferreiro M, Valverde I, Andia M, Tejos C, Irarrazaval P, Uribe S.
JRSM Cardiovasc Diseases. 2017 Jan-Dec; 6: 2048004017731986. https://doi.org/10.1177/2048004017731986
2016
Enhancing the Velocity data from 4D flow MR Images by Reducing its Divergence WoS - IF: 10.05
Mura J, Pino AM, Sotelo J, Valverde I, Tejos C, Andia ME, Irarrazaval P, Uribe S.
IEEE transactions on medical imaging. 2016 Oct;35(10):2353-2364. https://doi.org/10.1109/TMI.2016.2570010
2016
Realistic aortic phantom to study hemodynamics using MRI and cardiac catheterization in normal and aortic coarctation conditions WoS - IF: 4.813
Urbina J, Sotelo JA, Springmüller D, Montalba C, Letelier K, Tejos C, Irarrázaval P, Andia ME, Razavi R, Valverde I, Uribe SA.
Journal of Magnetic Resonance Imaging. 2016 Sep;44(3):683-97. https://doi.org/10.1002/jmri.25208
2016
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 WoS - IF: 10.05
Sotelo J, Urbina J, Valverde I, Tejos C, Irarrazaval P, Andia ME, Uribe S, Hurtado DE.
IEEE transactions on medical imaging. 2016 Jun;35(6):1475-87. https://doi.org/10.1109/TMI.2016.2517406
2015
Intrahepatic portal vein blood volume estimated by non-contrast Magnetic Resonance Imaging for the assessment of portal hypertension WoS - IF: 2.546
Aguirre-Reyes DF, Sotelo JA, Arab JP, Arrese M, Tejos R, Irarrazaval P, Tejos C, Uribe SA, Andia ME.
Magnetic Resonance Imaging. 2015 Oct;33(8):970-7. https://doi.org/10.1016/j.mri.2015.06.016
2015
Quantification of wall shear stress using a finite-element method in multidimensional phase contrast MR data of the thoracic aorta WoS - IF: 1.606
Sotelo J, Urbina J, Valverde I, Tejos C, Irarrázaval P, Hurtado DE, Uribe S.
Journal of Biomechanics. 2015 Jul 16;48(10):1817-27. https://doi.org/10.1016/j.jbiomech.2015.04.038
2015
3D printed models for planning endovascular stenting in transverse aortic arch hypoplasia: 3D Cardiovascular Model Simulation WoS - IF: 2.585
Valverde I, Gomez G, Coserria JF, Suarez-Mejias C, Uribe S, Sotelo J, Velasco MN, Santos De Soto J, Hosseinpour AR, Gomez-Cia T.
Catheterization and Cardiovascular Interventions. 2015 May;85(6):1006-12. https://doi.org/10.1002/ccd.25810
2013
Assessment of normal flow patterns in the pulmonary circulation by using 4D magnetic resonance velocity mapping WoS - IF: 2.546
Bächler P, Pinochet N, Sotelo J, Crelier G, Irarrazaval P, Tejos C, Uribe S.
Magnetic Resonance Imaging. 2013 Feb;31(2):178-88. https://doi.org/10.1016/j.mri.2012.06.036
2012
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 SCIELO
Jesús Urbina, Julio Sotelo, Cristián Tejos, Daniel Hurtado, Marcelo Andía, Pablo Irarrázaval, Sergio Uribe.
Revista Chilena de Radiología 2012;18(4):157-162. https://doi.org/10.4067/S0717-93082012000400003
2012
Análisis cuantitativo de variables hemodinámicas de la aorta obtenidas de 4D Flow SCIELO
Julio Sotelo, Rodrigo Salas, Cristián Tejos, Sterén Chabert, Sergio Uribe.
Revista Chilena de Radiología 2012;18(2):62-67. https://doi.org/10.4067/S0717-93082012000200005

Conference Proceedings

Conference Proceedings (WoS / Scopus)

2026
4D Flow MRI MATLAB Toolbox WoS
Sotelo, J., Uribe, S., Hurtado, D., Mura, J., Mella, H., Marlevi, D., Lamata, P., & Fernandes, J.
Journal of Cardiovascular Magnetic Resonance. 29th Annual SCMR Scientific Sessions, Rio de Janeiro, Brasil, 28, 102339. https://doi.org/10.1016/j.jocmr.2025.102339
2026
Prediction of peak-to-peak pressure gradient in patients with aortic coarctation using Physics-Informed Neural Networks from Magnetic Resonance Images WoS
Jara, S., Galarce, F., Mella, H., Ñanculef, R., Salas, R., Beerbaum, P., Grotenhuis, H., Marlevi, D., Valverde, I., Uribe, S., & Sotelo, J.
Journal of Cardiovascular Magnetic Resonance. 29th Annual SCMR Scientific Sessions, Rio de Janeiro, Brasil, 28, 102500. https://doi.org/10.1016/j.jocmr.2025.102500
2026
Effect of blood rheology and hematocrit on the estimation of hemodynamic parameters in hypertrophic cardiomyopathy WoS
Sotelo, J., Mella, H., Galarce, F., Velasquez, C., Uribe, S., Sekine, T., & Castillo, E.
Journal of Cardiovascular Magnetic Resonance. 29th Annual SCMR Scientific Sessions, Rio de Janeiro, Brasil, 28, 102641. https://doi.org/10.1016/j.jocmr.2025.102641
2025
Non-invasively measured pressure drops are higher in neonates with coarctation of the aorta (CoA) compared to reference controls WoS
Abuzinadah, R. F., Sotelo, J., Broadbent, D., Cash, M. L., Shelley, D., Jin, N., Plein, S., Marlevi, D., & Bissell, M. M.
Journal of Cardiovascular Magnetic Resonance. 28th Annual SCMR Scientific Sessions, Washington DC, USA, 27, 101163. https://doi.org/10.1016/j.jocmr.2024.101163
2025
Machine Learning Techniques in Microservices: A Systematic Mapping Scopus
Brito D, Sotelo J, Márquez G, Visconti M.
2025 L Latin American Computer Conference (CLEI), Chilean Computer Science Conference (JCC)... IEEE. (In press)
2024
Pressure Recovery Distance Measured Non-invasively Using 4D Flow MRI Is Prolonged in Neonates with Coarctation of the Aorta WoS
Abuzinadah, R., Fernandes, J., Panayiotou, H., Shelley, D., Broadbent, D., Jin, N., De Vecchi, A., Lamata, P., Sotelo, J., & Bissell, M.
Journal of Cardiovascular Magnetic Resonance. CMR 2024, London, UK, 26, 100132. https://doi.org/10.1016/j.jocmr.2024.100132
2024
Segmentation of 4D Flow MR image obtained by Cardiovascular Magnetic Resonance Imaging Scopus
Ponce A, Salas R, Garcia J, Uribe S, Sotelo, J.
2024 IEEE International Conference on Automation/XXVI Congress of the Chilean Association of Automatic Control (ICA-ACCA), IEEE. https://doi.org/10.1109/ICA-ACCA62622.2024.10766455
2024
Automation of 4D Flow MR Image Processing Obtained by Cardiovascular Magnetic Resonance Imaging Scopus
Ponce A, Salas R, Garcia J, Uribe S, Sotelo, J.
2024 L Latin American Computer Conference (CLEI), IEEE. https://doi.org/10.1109/CLEI64178.2024.10700580
2024
Prediction of Peak-to-Peak Pressure Gradient in Patients with Aortic Coarctation Using Physics-Informed Neural Networks Scopus
Jara S, Salas R, Ñanculef R, Valverde I, Uribe S, Sotelo, J.
2024 L Latin American Computer Conference (CLEI), IEEE. https://doi.org/10.1109/CLEI64178.2024.10700502
2023
A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings Scopus
Mellado D, Querales M, Sotelo J, Godoy E, Pardo F, Lever S, Chabert S, Salas R.
2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM), Mexico City, Mexico. https://doi.org/10.1109/SIPAIM56729.2023.10373511
2022
Automatic segmentation of brain tumor in multi-contrast magnetic resonance using deep neural network Scopus
Cavieres E, Tejos C, Salas R, Sotelo J.
Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125670B. https://doi.org/10.1117/12.2670375
2022
VENTSEG: efficient open source framework for ventricular segmentation Scopus
León A, Herrera R, Urbina J, Salas R, Uribe S, Sotelo J.
Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125670Q. https://doi.org/10.1117/12.2669932
2022
A named entity recognition framework using transformers to identify relevant clinical findings from mammographic radiological reports Scopus
Godoy E, Chabert S, Querales M, Sotelo J, et al.
Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125670X. https://doi.org/10.1117/12.2670228
2015
A realistic MR compatible Aortic Phantom to validate hemodynamic parameters from MRI data: aortic coarctation patient comparison using catheterization WoS
Urbina J, Sotelo J, Tejos C, Irarrazaval P, Andia ME, Razavi R, Valverde I, Uribe S.
Journal of Cardiovascular Magnetic Resonance. 18th Annual SCMR Scientific Sessions, Nice, France. https://doi.org/10.1186/1532-429X-17-S1-P199
2015
3D Quantification of hemodynamics parameters of pulmonary artery and aorta using finite-element interpolations in 4D flow MR data WoS
Sotelo J, Urbina J, Valverde I, Tejos C, Irarrazaval P, Hurtado DE, Uribe S.
Journal of Cardiovascular Magnetic Resonance. 18th Annual SCMR Scientific Sessions, Nice, France. https://doi.org/10.1186/1532-429X-17-S1-Q27
2015
Pressure gradient prediction in aortic coarctation using a computational-fluid-dynamics model: validation against invasive pressure catheterization at rest and pharmacological stress WoS
Sotelo J, Velverde I, Beerbaum P, Greil G, Schaeffter T, Razavi R, Hurtado DE, Uribe S, Figueroa CA.
Journal of Cardiovascular Magnetic Resonance. 18th Annual SCMR Scientific Sessions, Nice, France. https://doi.org/10.1186/1532-429X-17-S1-Q78
2014
Quantification of wall shear stress using finite-element interpolations in multidimensional phase contrast MR data of the thoracic aorta WoS
Sotelo J, Urbina J, Ortiz E, Tejos C, Valverde I, Hurtado DE, Uribe S.
Journal of Cardiovascular Magnetic Resonance. 17th Annual SCMR Scientific Sessions, New Orleans, LA, USA. https://doi.org/10.1186/1532-429X-16-S1-P371
2014
3D quantification of wall shear stress using finite-element interpolations from 4D flow MR data in the Thoracic Aorta WoS
Sotelo J, Urbina J, Ortiz E, Tejos C, Valverde I, Hurtado DE, Uribe S.
Journal of Cardiovascular Magnetic Resonance. 17th Annual SCMR Scientific Sessions, New Orleans, LA, USA. https://doi.org/10.1186/1532-429X-16-S1-P356
2012
Normal Values of Wall Shear Stress in the Pulmonary Artery from 4D flow data WoS
Sotelo J, Bächler P, Chabert S, Hurtado D, Irarrazaval P, Tejos C, Uribe S.
Journal of Cardiovascular Magnetic Resonance. 15th Annual SCMR Scientific Sessions, Orlando, FL, USA. https://doi.org/10.1186/1532-429X-14-S1-W66

Conferences & Presentations

Throughout his career, Dr. Sotelo has been an active contributor to the scientific community, presenting his research at numerous prestigious national and international conferences. His work has been featured in over 80 presentations and workshops, including multiple editions of the ISMRM Annual Meeting & Exhibition across the globe (e.g., Singapore, Honolulu, Paris, Montreal, London, and Toronto), the SCMR Annual Scientific Sessions, and EuroCMR. His presentations cover a wide array of topics, from advanced 4D Flow MRI quantification methods, finite element methods, and AI applied to medical imaging, to hands-on workshops and clinical symposiums. Additionally, he frequently participates in national events such as the Chilean Congress of Radiology, the Chilean Congress of Cardiology and Cardiovascular Surgery, and various interdisciplinary engineering and biomechanics symposiums, highlighting his commitment to advancing medical imaging technologies and clinical practices both in Chile and internationally.