| Channel Attention Networks for Robust MR Fingerprint Matching | 0 | 0.34 | 2022 |
| Cross-domain Artefact Correction of Cardiac MRI. | 0 | 0.34 | 2021 |
| Explainable Image Quality Analysis of Chest X-Rays. | 0 | 0.34 | 2021 |
| Self-supervised Dynamic MRI Reconstruction. | 0 | 0.34 | 2021 |
| Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data | 1 | 0.35 | 2021 |
| Artifact Detection in Cardiac MRI Data by Deep Learning Methods. | 0 | 0.34 | 2021 |
| Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation | 0 | 0.34 | 2020 |
| Accurate Myocardial Pathology Segmentation with Residual U-Net. | 0 | 0.34 | 2020 |
| High-quality segmentation of low quality cardiac MR images using k-space artefact correction. | 0 | 0.34 | 2019 |
| Assessing The Impact Of Blood Pressure On Cardiac Function Using Interpretable Biomarkers And Variational Autoencoders | 0 | 0.34 | 2019 |
| Automatic Left Ventricular Outflow Tract Classification For Accurate Cardiac Mr Planning | 2 | 0.42 | 2018 |
| Left-Ventricle Quantification Using Residual U-Net. | 0 | 0.34 | 2018 |
| Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. | 6 | 0.50 | 2018 |
| Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. | 5 | 0.46 | 2018 |
| Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. | 2 | 0.38 | 2018 |
| Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. | 1 | 0.34 | 2018 |
| Unsupervised Myocardial Segmentation for Cardiac BOLD. | 1 | 0.37 | 2017 |
| Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. | 0 | 0.34 | 2017 |
| MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention. | 2 | 0.38 | 2016 |
| Supervised Learning of Functional Maps for Infarct Classification. | 0 | 0.34 | 2015 |
| Data-driven feature learning for myocardial segmentation of CP-BOLD MRI | 5 | 0.41 | 2015 |
| Unsupervised Myocardial Segmentation for Cardiac MRI | 2 | 0.36 | 2015 |
| Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR | 3 | 0.40 | 2015 |
| Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. | 24 | 0.91 | 2014 |
