Claudia Prieto

Orcid: 0000-0003-4602-2523

According to our database1, Claudia Prieto authored at least 41 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.
IEEE Trans. Biomed. Eng., March, 2024

2023
Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields.
CoRR, 2023

2022
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images.
ACM Comput. Surv., January, 2022

Channel Attention Networks for Robust MR Fingerprint Matching.
IEEE Trans. Biomed. Eng., 2022

Comparison of Semi- and Un-Supervised Domain Adaptation Methods for Whole-Heart Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

On Skin Lesion Recognition Using Deep Learning: 50 Ways to Choose Your Model.
Proceedings of the Image and Video Technology - 10th Pacific-Rim Symposium, 2022

2021
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning.
IEEE Trans. Medical Imaging, 2021

LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2021

A Spatial Off-Resonance Correction in Spirals for Magnetic Resonance Fingerprinting.
IEEE Trans. Medical Imaging, 2021

Elastic AlignedSENSE for Dynamic MR Reconstruction: A Proof of Concept in Cardiac Cine.
Entropy, 2021

Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

2020
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.
IEEE Trans. Medical Imaging, 2020

Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

SIRF: Synergistic Image Reconstruction Framework.
Comput. Phys. Commun., 2020

Channel Attention Networks for Robust MR Fingerprinting Matching.
CoRR, 2020

A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation.
CoRR, 2020

Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
Medical Image Anal., 2019

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.
CoRR, 2019

High-quality segmentation of low quality cardiac MR images using k-space artefact correction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Synergistic PET and SENSE MR Image Reconstruction Using Joint Sparsity Regularization.
IEEE Trans. Medical Imaging, 2018

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

MRI slice stacking using manifold alignment and wave kernel signatures.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

PET-MR respiratory signal estimation using semi-supervised manifold alignment.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment.
IEEE Trans. Medical Imaging, 2017

Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction Method.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016

Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multiresolution reconstruction of real-time MRI with motion compensated compressed sensing: Application to 2D free-breathing cardiac MRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Detecting Driver Drowsiness: A survey of system designs and technology.
IEEE Consumer Electron. Mag., 2015

2014
Retrospective Rigid Motion Correction in k-Space for Segmented Radial MRI.
IEEE Trans. Medical Imaging, 2014

2013
Calcium (Ca2+) waves data calibration and analysis using image processing techniques.
BMC Bioinform., 2013

2012
Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI.
IEEE Trans. Medical Imaging, 2012

2011
TRIO a Technique for Reconstruction Using Intensity Order: Application to Undersampled MRI.
IEEE Trans. Medical Imaging, 2011

2008
A soft image edge detection approach based on the time matrix of a PCNN.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Motion Estimation Applied to Reconstruct Undersampled Dynamic MRI.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007


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