Marco Pereañez
Orcid: 0000-0002-6447-4956
According to our database1,
Marco Pereañez
authored at least 24 papers
between 2013 and 2019.
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Bibliography
2019
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN.
IEEE Trans. Biomed. Eng., 2019
Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Medical Image Anal., 2019
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018
Automatic initialization and quality control of large-scale cardiac MRI segmentations.
Medical Image Anal., 2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN.
CoRR, 2018
Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Enlargement, subdivision and individualization of statistical shape models: Application to 3D medical image segmentation.
PhD thesis, 2017
2016
An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model.
IEEE Trans. Medical Imaging, 2016
2015
Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models.
IEEE Trans. Medical Imaging, 2015
IEEE Trans. Medical Imaging, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
2014
IEEE Trans. Medical Imaging, 2014
Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation.
IEEE Trans. Biomed. Eng., 2014
A framework for the merging of pre-existing and correspondenceless 3D statistical shape models.
Medical Image Anal., 2014
Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014
2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Personalized Modeling of Cardiac Electrophysiology Using Shape-Based Prediction of Fiber Orientation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013