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
7 papers · 1 filter
Lesion Focused Super-Resolution
Jin Zhu, Guang Yang, Pietro Lio
Super-resolution (SR) for image enhancement has great importance in medical image applications. Broadly speaking, there are two types of SR, one requires multiple low resolution (L…
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
Nathan J Olliverre, Guang Yang, Gregory Slabaugh +2
Magnetic Resonance Spectroscopy (MRS) provides valuable information to help with the identification and understanding of brain tumors, yet MRS is not a widely available medical ima…
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
Maximilian Seitzer, Guang Yang, Jo Schlemper +9
Deep learning approaches have shown promising performance for compressed sensing-based Magnetic Resonance Imaging. While deep neural networks trained with mean squared error (MSE)…
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model
Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde +3
Myocardial contrast echocardiography (MCE) is an imaging technique that assesses left ventricle function and myocardial perfusion for the detection of coronary artery diseases. Aut…
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model
Yuanwei Li, Chin Pang Ho, Navtej Chahal +2
Myocardial Contrast Echocardiography (MCE) with micro-bubble contrast agent enables myocardial perfusion quantification which is invaluable for the early detection of coronary arte…
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation
Jun Chen, Guang Yang, Zhifan Gao +9
Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial scars in atrial fibrillation (AF) patients has recently emerged as a promising technique to stratify patients,…