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Engineering and Technology
Chile
2026

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
6172
World Ranking
5298
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Chile Leader Award
  • 2025 - Research.com Engineering and Technology in Chile Leader Award

Overview

Claudia Prieto is affiliated with the Pontificia Universidad Católica de Chile in Chile. Their research primarily focuses on the field of Medicine, with a substantial number of publications in subfields such as Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Atomic and Molecular Physics, and Optics, as well as Pulmonary and Respiratory Medicine.

Their work covers a variety of specialized topics including:

  • Advanced MRI Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Atomic and Subatomic Physics Research
  • Cardiovascular Function and Risk Factors
  • Cardiac Valve Diseases and Treatments

Prieto has contributed to several research papers notable for their focus on medical imaging and cardiovascular diagnostics. Key recent publications include:

  • "CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions" (2020), published in Scientific Reports
  • "From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction" (2020), published in Frontiers in Cardiovascular Medicine
  • "Multi-parametric liver tissue characterization using MR fingerprinting: Simultaneous T1, T2, T2*, and fat fraction mapping" (2020), published in Magnetic Resonance in Medicine
  • "Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute" (2021), published in Magnetic Resonance in Medicine
  • "A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images" (2022), published in ACM Computing Surveys

Their frequent co-authors include René M. Botnar, Karl Kunze, Radhouène Neji, Gastão Cruz, and Anastasia Fotaki. These collaborations suggest a multidisciplinary approach to imaging and cardiovascular research.

Prieto's research is disseminated across a variety of venues, reflecting engagement with both clinical and technical aspects of medical imaging. These publication venues include:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Journal of Cardiovascular Magnetic Resonance
  • Magnetic Resonance in Medicine
  • arXiv (Cornell University)
  • Frontiers in Cardiovascular Medicine

Best Publications

  • CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

    Thomas Küstner;Niccolo Fuin;Kerstin Hammernik;Aurelien Bustin

  • Motion corrected compressed sensing for free-breathing dynamic cardiac MRI.

    Muhammad Usman;David Atkinson;Freddy Odille;Christoph Kolbitsch

  • Whole-heart coronary MR angiography with 2D self-navigated image reconstruction.

    Markus Henningsson;Peter Koken;Christian Stehning;Reza Razavi

  • Highly efficient respiratory motion compensated free‐breathing coronary mra using golden‐step Cartesian acquisition

    Claudia Prieto;Claudia Prieto;Mariya Doneva;Muhammad Usman;Markus Henningsson

  • From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction.

    Aurélien Bustin;Niccolo Fuin;René M. Botnar;René M. Botnar;Claudia Prieto;Claudia Prieto

  • Highly efficient nonrigid motion corrected 3D whole-heart coronary vessel wall imaging

    Gastao Cruz;David Atkinson;Markus Henningsson;René Michael Botnar;René Michael Botnar

  • Characterization of Bordetella pertussis growing as biofilm by chemical analysis and FT-IR spectroscopy

    A. Bosch;D. Serra;C. Prieto;J. Schmitt

  • High-dimensionality undersampled patch-based reconstruction (HD-PROST) for accelerated multi-contrast MRI

    Aurélien Bustin;Gastão Lima da Cruz;Olivier Jaubert;Karina Lopez

  • Five-minute whole-heart coronary MRA with sub-millimeter isotropic resolution, 100% respiratory scan efficiency, and 3D-PROST reconstruction.

    Aurélien Bustin;Giulia Ginami;Gastão Cruz;Teresa Correia

  • k-t Group sparse: a method for accelerating dynamic MRI.

    M. Usman;C. Prieto;T. Schaeffter;P. G. Batchelor

  • Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

    Ilkay Öksüz;Bram Ruijsink;Esther Puyol-Antón;James R. Clough

  • Accelerated motion corrected three‐dimensional abdominal MRI using total variation regularized SENSE reconstruction

    Gastao Cruz;David Atkinson;Christian Buerger;Tobias Schaeffter

  • Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

    Ilkay Oksuz;James R. Clough;Bram Ruijsink;Esther Puyol Anton

  • Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI

    C. Buerger;R. E. Clough;A. P. King;T. Schaeffter

  • 3D Undersampled Golden-Radial Phase Encoding for DCE-MRA Using Inherently Regularized Iterative SENSE

    Claudia Prieto;Sergio Uribe;Sergio Uribe;Reza Razavi;David Atkinson

  • Multi-parametric liver tissue characterization using MR fingerprinting: Simultaneous T1 , T2 , T2 *, and fat fraction mapping.

    Olivier Jaubert;Cristobal Arrieta;Gastão Cruz;Aurélien Bustin

  • Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute.

    Thomas Küstner;Camila Munoz;Alina Psenicny;Aurélien Bustin

  • 3D whole-heart isotropic sub-millimeter resolution coronary magnetic resonance angiography with non-rigid motion-compensated PROST.

    Aurélien Bustin;Imran Rashid;Gastao Cruz;Reza Hajhosseiny;Reza Hajhosseiny

  • Sparsity and locally low rank regularization for MR fingerprinting.

    Gastão Lima da Cruz;Aurélien Bustin;Oliver Jaubert;Torben Schneider

  • Whole-Heart Coronary MRA with 3D Affine Motion Correction Using 3D Image-Based Navigation

    Markus Henningsson;Claudia Prieto;Claudia Prieto;Amedeo Chiribiri;Ghislain Vaillant

  • Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory.

    M. Usman;M. Usman;B. Ruijsink;M.S. Nazir;G. Cruz

  • Model‐based reconstruction for cardiac cine MRI without ECG or breath holding

    Freddy Odille;Sergio Uribe;Philip G. Batchelor;Claudia Prieto

  • PET image reconstruction using multi-parametric anato-functional priors.

    Abolfazl Mehranian;Martin A Belzunce;Flavia Niccolini;Marios Politis

Frequent Co-Authors

René M. Botnar
René M. Botnar Pontificia Universidad Católica de Chile
Andrew P. King
Andrew P. King King's College London
Andrew J. Reader
Andrew J. Reader King's College London
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Julia A. Schnabel
Julia A. Schnabel King's College London
Reza Razavi
Reza Razavi King's College London
Joseph V. Hajnal
Joseph V. Hajnal King's College London
Alexander Hammers
Alexander Hammers King's College London
David J. Young
David J. Young University of New South Wales
Thierry Blu
Thierry Blu Chinese University of Hong Kong

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