Marta Varela
Orcid: 0000-0003-4057-7851
According to our database1,
Marta Varela
authored at least 33 papers
between 2012 and 2024.
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Bibliography
2024
PINNing Cerebral Blood Flow: Analysis of Perfusion MRI in Infants using Physics-Informed Neural Networks.
CoRR, 2024
A robust quality estimation method for medical image segmentation with small datasets.
Biomed. Signal Process. Control., 2024
Characterisation of Anti-Arrhythmic Drug Effects on Cardiac Electrophysiology Using Physics-Informed Neural Networks.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks.
CoRR, 2023
High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network.
CoRR, 2023
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2022
IEEE Trans. Medical Imaging, 2022
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
Medical Image Anal., 2022
PAT-CNN: Automatic Segmentation and Quantification of Pericardial Adipose Tissue from T2-Weighted Cardiac Magnetic Resonance Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
2021
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
SA-Net: A Sequence Aware Network for the Segmentation of the Left Atrium in Cine MRI Datasets.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Evolution of Epicardial Rotors into Breakthrough Waves During Atrial Fibrillation in 3D Canine Biatrial Model with Detailed Fibre Orientation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium.
PLoS Comput. Biol., 2020
Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
2018
Algorithms for left atrial wall segmentation and thickness - Evaluation on an open-source CT and MRI image database.
Medical Image Anal., 2018
2017
IEEE Trans. Medical Imaging, 2017
The Efficacy of Class III Anti-arrhythmic Drug Action in 3D Canine Atrial Models: Is the Blockade of IKCa Pro- or Anti-arrhythmic?.
Proceedings of the Computing in Cardiology, 2017
Image-Based Computational Evaluation of the Competing Effect of Atrial Wall Thickness and Fibrosis on Re-entrant Drivers for Atrial Arrhythmias.
Proceedings of the Computing in Cardiology, 2017
2016
Atrial Heterogeneity Generates Re-entrant Substrate during Atrial Fibrillation and Anti-arrhythmic Drug Action: Mechanistic Insights from Canine Atrial Models.
PLoS Comput. Biol., 2016
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016
Towards patient-specific modelling of lesion formation during radiofrequency catheter ablation for atrial fibrillation.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2014
Role of atrial tissue substrate and electrical activation pattern in fractionation of atrial electrograms: A computational study.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Determination of Atrial Myofibre Orientation Using Structure Tensor Analysis for Biophysical Modelling.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013
2012
NeuroImage, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012