53 citations
- Imperial College LondonGB11 papers
- Royal Brompton HospitalGB4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Fudan UniversityCN3 papers
- University College LondonGB3 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Boston Children's HospitalUS2 papers
- Institut PasteurFR2 papers
- King's College LondonGB2 papers
- Medical University of ViennaAT2 papers
- NIHR Royal Brompton Cardiovascular Biomedical Research UnitGB2 papers
- Shanghai Jiao Tong UniversityCN2 papers
Showing 2018 · cs.CVShow all
3 papers · 2 filters
cs.CV2018★ 4 cited
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…
cs.CV2018★ 12 cited
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
Jinming Duan, Ghalib Bello, Jo Schlemper +7
Deep learning approaches have achieved state-of-the-art performance in cardiac magnetic resonance (CMR) image segmentation. However, most approaches have focused on learning image…
cs.CV2018
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
Jo Schlemper, Guang Yang, Pedro Ferreira +9
Understanding the structure of the heart at the microscopic scale of cardiomyocytes and their aggregates provides new insights into the mechanisms of heart disease and enables the…