Motion Estimation Applied to Reconstruct Undersampled Dynamic MRI. - Claudia Prieto; Marcello Guarini; Joseph V. Hajnal; Pablo Irarrazaval (PSIVT, 2007)

A soft image edge detection approach based on the time matrix of a PCNN. - Mario I. Chacon; Claudia Prieto; R. Sandoval; Alejandro Rodríguez (IJCNN, 2008)

TRIO a Technique for Reconstruction Using Intensity Order: Application to Undersampled MRI. - Leonardo Ramirez; Claudia Prieto; Carlos A. Sing-Long; Sergio Uribe; Philip G. Batchelor; Cristian Tejos; Pablo Irarrazaval (IEEE Trans. Medical Imaging, 2011)

Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI. - Christian Buerger; Rachel E. Clough; Andrew P. King; Tobias Schaeffter; Claudia Prieto (IEEE Trans. Medical Imaging, 2012)

Calcium (Ca2+) waves data calibration and analysis using image processing techniques. - Carlos Milovic; Carolina Oses; Manuel Villalón; Sergio Uribe; Carlos Lizama; Claudia Prieto; Marcelo E. Andia; Pablo Irarrazaval; Cristian Tejos (BMC Bioinform., 2013)

Retrospective Rigid Motion Correction in k-Space for Segmented Radial MRI. - Ghislain Vaillant; Claudia Prieto; Christoph Kolbitsch; Graeme P. Penney; Tobias Schaeffter (IEEE Trans. Medical Imaging, 2014)

Detecting Driver Drowsiness: A survey of system designs and technology. - Mario Ignacio Chacon Murguia; Claudia Prieto-Resendiz (IEEE Consumer Electron. Mag., 2015)

Multiresolution reconstruction of real-time MRI with motion compensated compressed sensing: Application to 2D free-breathing cardiac MRI. - Javier Royuela-del-Val; Muhammad Usman 014; Lucilio Cordero-Grande; Marcos Martín-Fernández; Federico Simmross-Wattenberg; Claudia Prieto; Carlos Alberola-López (ISBI, 2016)

Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment. - Xin Chen 003; Muhammad Usman 014; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (MICCAI (3), 2016)

Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction Method. - Javier Royuela-del-Val; Muhammad Usman 014; Lucilio Cordero-Grande; Marcos Martín-Fernández; Federico Simmross-Wattenberg; Claudia Prieto; Carlos Alberola-López (RAMBO+HVSMR@MICCAI, 2016)

Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression. - Xin Chen 003; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (MICCAI (2), 2017)

High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment. - Xin Chen 003; Muhammad Usman 014; Christian F. Baumgartner; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (IEEE Trans. Medical Imaging, 2017)

PET-MR respiratory signal estimation using semi-supervised manifold alignment. - Daniel R. Balfour; James R. Clough; Xin Chen 003; Martin A. Belzunce; Claudia Prieto; Paul K. Marsden; Andrew J. Reader; Andrew P. King (ISBI, 2018)

MRI slice stacking using manifold alignment and wave kernel signatures. - James R. Clough; Daniel R. Balfour; Paul K. Marsden; Claudia Prieto; Andrew J. Reader; Andrew P. King (ISBI, 2018)

Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. - James R. Clough; Daniel R. Balfour; Claudia Prieto; Andrew J. Reader; Paul K. Marsden; Andrew P. King (MLCN/DLF/iMIMIC@MICCAI, 2018)

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. - Ilkay Öksüz; James R. Clough; Aurélien Bustin; Gastão Cruz; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (MLMIR@MICCAI, 2018)

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (MICCAI (1), 2018)

Synergistic PET and SENSE MR Image Reconstruction Using Joint Sparsity Regularization. - Abolfazl Mehranian; Martin A. Belzunce; Claudia Prieto; Alexander Hammers; Andrew J. Reader (IEEE Trans. Medical Imaging, 2018)

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. - Ilkay Öksüz; Gastão Cruz; James R. Clough; Aurélien Bustin; Nicolo Fuin; René M. Botnar; Claudia Prieto; Andrew P. King; Julia A. Schnabel (ISBI, 2019)

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (MICCAI (4), 2019)

High-quality segmentation of low quality cardiac MR images using k-space artefact correction. - Ilkay Öksüz; James R. Clough; Wenjia Bai; Bram Ruijsink; Esther Puyol-Antón; Gastão Cruz; Claudia Prieto; Andrew P. King; Julia A. Schnabel (MIDL, 2019)

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (CoRR, 2019)

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; Gastão Cruz; Aurélien Bustin; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (Medical Image Anal., 2019)

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk. - Thomas Küstner; Jiazhen Pan; Christopher Gilliam; Haikun Qi; Gastão Cruz; Kerstin Hammernik; Bin Yang 009; Thierry Blu; Daniel Rueckert; René M. Botnar; Claudia Prieto; Sergios Gatidis (APSIPA, 2020)

Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network. - Haikun Qi; Niccolo Fuin; Thomas Küstner; René M. Botnar; Claudia Prieto (MICCAI (6), 2020)

A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation. - Pablo Messina; Pablo Pino; Denis Parra; Alvaro Soto; Cecilia Besa; Sergio Uribe; Marcelo E. Andia; Cristian Tejos; Claudia Prieto; Daniel Capurro (CoRR, 2020)

Channel Attention Networks for Robust MR Fingerprinting Matching. - Refik Soyak; Ebru Navruz; Eda Ozgu Ersoy; Gastão Cruz; Claudia Prieto; Andrew P. King; Devrim Ünay; Ilkay Öksüz (CoRR, 2020)

SIRF: Synergistic Image Reconstruction Framework. - Evgueni Ovtchinnikov; Richard Brown 004; Christoph Kolbitsch; Edoardo Pasca; Casper O. da Costa-Luis; Ashley Gillman; Benjamin A. Thomas; Nikos Efthimiou; Johannes Mayer; Palak Wadhwa; Matthias J. Ehrhardt; Sam Ellis; et al. (Comput. Phys. Commun., 2020)

Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets. - James R. Clough; Daniel R. Balfour; Gastão Cruz; Paul K. Marsden; Claudia Prieto; Andrew J. Reader; Andrew P. King (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Andrew P. King; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2020)

Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. - Inês Machado; Esther Puyol-Antón; Kerstin Hammernik; Gastão Cruz; Devran Ugurlu; Bram Ruijsink; Miguel Castelo-Branco; Alistair A. Young; Claudia Prieto; Julia A. Schnabel; Andrew P. King (STACOM@MICCAI, 2021)

Elastic AlignedSENSE for Dynamic MR Reconstruction: A Proof of Concept in Cardiac Cine. - Alejandro Godino-Moya; Rosa-María Menchón-Lara; Marcos Martín-Fernández; Claudia Prieto; Carlos Alberola-López (Entropy, 2021)

A Spatial Off-Resonance Correction in Spirals for Magnetic Resonance Fingerprinting. - Ronal Coronado; Gastão Cruz; Carlos Castillo-Passi; Cristian Tejos; Sergio Uribe; Claudia Prieto; Pablo Irarrazaval (IEEE Trans. Medical Imaging, 2021)

LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging. - Thomas Küstner; Jiazhen Pan; Haikun Qi; Gastão Cruz; Christopher Gilliam; Thierry Blu; Bin Yang 009; Sergios Gatidis; René M. Botnar; Claudia Prieto (IEEE Trans. Medical Imaging, 2021)

Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning. - Haikun Qi; Niccolo Fuin; Gastão Cruz; Jiazhen Pan; Thomas Küstner; Aurélien Bustin; René M. Botnar; Claudia Prieto (IEEE Trans. Medical Imaging, 2021)

On Skin Lesion Recognition Using Deep Learning: 50 Ways to Choose Your Model. - Domingo Mery; Pamela Romero; Gabriel Garib; Alma Pedro; Maria Paz Salinas; Javiera Sepulveda; Leonel Hidalgo; Claudia Prieto; Cristian Navarrete-Dechent (PSIVT, 2022)

Comparison of Semi- and Un-Supervised Domain Adaptation Methods for Whole-Heart Segmentation. - Marica Muffoletto; Hao Xu; Hugo Barbaroux; Karl P. Kunze; Radhouène Neji; René M. Botnar; Claudia Prieto; Daniel Rueckert; Alistair A. Young (STACOM@MICCAI, 2022)

Channel Attention Networks for Robust MR Fingerprint Matching. - Refik Soyak; Ebru Navruz; Eda Ozgu Ersoy; Gastão Cruz; Claudia Prieto; Andrew P. King; Devrim Ünay; Ilkay Öksüz (IEEE Trans. Biomed. Eng., 2022)

A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images. - Pablo Messina; Pablo Pino; Denis Parra; Alvaro Soto; Cecilia Besa; Sergio Uribe; Marcelo E. Andia; Cristian Tejos; Claudia Prieto; Daniel Capurro (ACM Comput. Surv., 2022)

Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields. - Tabita Catalán; Matias Courdurier; Axel Osses; René M. Botnar; Francisco Sahli Costabal; Claudia Prieto (CoRR, 2023)

Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images. - Rodrigo Salas 001; Juan Sebastian Castro; Marvin Querales; Carolina Saavedra; Claudia Prieto; Stéren Chabert (CIARP (2), 2024)

Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. - Veronika Spieker; Hannah Eichhorn; Jonathan K. Stelter; Wenqi Huang 003; Rickmer F. Braren; Daniel Rueckert; Francisco Sahli Costabal; Kerstin Hammernik; Claudia Prieto; Dimitrios C. Karampinos; Julia A. Schnabel (MICCAI (7), 2024)

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. - Veronika Spieker; Hannah Eichhorn; Jonathan K. Stelter; Wenqi Huang 003; Rickmer F. Braren; Daniel Rückert; Francisco Sahli Costabal; Kerstin Hammernik; Claudia Prieto; Dimitrios C. Karampinos; Julia A. Schnabel (CoRR, 2024)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. - Zi Wang 005; Fanwen Wang; Chen Qin; Jun Lyu; Ouyang Cheng; Shuo Wang 011; Yan Li 064; Mengyao Yu; Haoyu Zhang; Kunyuan Guo; Zhang Shi; Qirong Li; et al. (CoRR, 2024)

A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. - Inês Machado; Esther Puyol-Antón; Kerstin Hammernik; Gastão Cruz; Devran Ugurlu; Ihsane Olakorede; Ilkay Öksüz; Bram Ruijsink; Miguel Castelo-Branco; Alistair A. Young; Claudia Prieto; Julia A. Schnabel; et al. (IEEE Trans. Biomed. Eng., 2024)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. - Wenqi Huang 003; Veronika Spieker; Siying Xu; Gastão Cruz; Claudia Prieto; Julia A. Schnabel; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (IPMI (1), 2025)

Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields. - Tabita Catalán; Matias Courdurier; Axel Osses; Anastasia Fotaki; René M. Botnar; Francisco Sahli Costabal; Claudia Prieto (Comput. Biol. Medicine, 2025)

PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. - Veronika Spieker; Hannah Eichhorn; Wenqi Huang 003; Jonathan K. Stelter; Tabita Catalán; Rickmer F. Braren; Daniel Rueckert; Francisco Sahli Costabal; Kerstin Hammernik; Dimitrios C. Karampinos; Claudia Prieto; Julia A. Schnabel (CoRR, 2025)

MR imaging in the low-field: Leveraging the power of machine learning. - Andreas Kofler; Dongyue Si; David Schote; René M. Botnar; Christoph Kolbitsch; Claudia Prieto (CoRR, 2025)