Claudia Prieto
Orcid: 0000-0003-4602-2523
According to our database1,
Claudia Prieto
authored at least 47 papers
between 2007 and 2025.
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On csauthors.net:
Bibliography
2025
Comput. Biol. Medicine, 2025
2024
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.
IEEE Trans. Biomed. Eng., March, 2024
CoRR, 2024
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.
CoRR, 2024
Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation.
CoRR, 2024
Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024
2023
CoRR, 2023
2022
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images.
ACM Comput. Surv., January, 2022
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
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
IEEE Trans. Medical Imaging, 2021
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
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
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
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
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
IEEE Consumer Electron. Mag., 2015
2014
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
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007