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
6 papers
Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges
Hakan Doga, M. Emre Sahin, Joao Bettencourt-Silva +10
Clinical trials are pivotal in the drug discovery process to determine the safety and efficacy of a drug candidate. The high failure rates of these trials are attributed to deficie…
A survey, review, and future trends of skin lesion segmentation and classification
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap +1
The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion analysis is an emerging field of research that has the potential to alleviate the burden and cost of skin c…
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…
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)…
Three-dimensional Cardiovascular Imaging-Genetics: A Mass Univariate Framework
Carlo Biffi, Antonio de Marvao, Mark I. Attard +10
MOTIVATION: Left ventricular (LV) hypertrophy is a strong predictor of cardiovascular outcomes, but its genetic regulation remains largely unexplained. Conventional phenotyping rel…