149 citations
- Royal Brompton HospitalGB4 papers
- Imperial College LondonGB3 papers
- Lung InstituteUS2 papers
- City St George's, University of LondonGB1 paper
- City, University of LondonGB1 paper
- Cleveland Clinic Lerner College of MedicineUS1 paper
- Daresbury LaboratoryGB1 paper
- Deloitte (United States)US1 paper
- European Bioinformatics InstituteGB1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
- Fudan UniversityCN1 paper
- Hammersmith HospitalGB1 paper
Showing 2018Show all
2 papers · 1 filter
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
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)…