149 citations
- Imperial College LondonGB13 papers
- Fudan UniversityCN4 papers
- Lung InstituteUS4 papers
- NIHR Royal Brompton Cardiovascular Biomedical Research UnitGB4 papers
- Anhui UniversityCN3 papers
- Shanghai Jiao Tong UniversityCN3 papers
- Sun Yat-sen UniversityCN3 papers
- University College LondonGB3 papers
- Chinese Academy of SciencesCN2 papers
- City, University of LondonGB2 papers
- King's College LondonGB2 papers
- National Heart, Lung, and Blood InstituteUS2 papers
6 papers · 1 filter
Automatic In-line Quantitative Myocardial Perfusion Mapping: processing algorithm and implementation
Hui Xue, Louise A. E. Brown, Sonia Nielles-Vallespin +2
Quantitative myocardial perfusion mapping has advantages over qualitative assessment, including the ability to detect global flow reduction. However, it is not clinically available…
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
Hui Xue, Ethan Tseng, Kristopher D Knott +6
Quantification of myocardial perfusion has the potential to improve detection of regional and global flow reduction. Significant effort has been made to automate the workflow, wher…
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
Ming Li, Weiwei Zhang, Guang Yang +5
Multi-view echocardiographic sequences segmentation is crucial for clinical diagnosis. However, this task is challenging due to limited labeled data, huge noise, and large gaps acr…
Discriminative Consistent Domain Generation for Semi-supervised Learning
Jun Chen, Heye Zhang, Yanping Zhang +6
Deep learning based task systems normally rely on a large amount of manually labeled training data, which is expensive to obtain and subject to operator variations. Moreover, it do…
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning
Dong Zhang, Guang Yang, Shu Zhao +3
The quantification of the coronary artery stenosis is of significant clinical importance in coronary artery disease diagnosis and intervention treatment. It aims to quantify the mo…
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
Lei Li, Fuping Wu, Guang Yang +6
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the…