Self-Supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Physics-informed neural networks for myocardial perfusion MRI quantification.
Medical Image Anal., 2022
Optimized automated cardiac MR scar quantification with GAN-based data augmentation.
Comput. Methods Programs Biomed., 2022
Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images.
CoRR, 2021
Hierarchical Bayesian myocardial perfusion quantification.
Medical Image Anal., 2020
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 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
Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data.
IEEE Trans. Medical Imaging, 2019
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI.
CoRR, 2019