78 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College LondonGB16 papers
- King's College LondonGB6 papers
- Wellcome / EPSRC Centre for Interventional and Surgical SciencesGB4 papers
- Cambridge University Hospitals NHS Foundation TrustGB2 papers
- National Hospital for Neurology and NeurosurgeryGB2 papers
- UCL Biomedical Research CentreGB2 papers
- University of OxfordGB2 papers
- Carnegie Mellon UniversityUS1 paper
- Centre for Clinical InterventionsAU1 paper
- Ege UniversityTR1 paper
- Guy's and St Thomas' NHS Foundation TrustGB1 paper
- Keele UniversityGB1 paper
5 papers · 1 filter
KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation
Thomas Boucher, Nicholas Tetlow, Annie Fung +5
Purpose: The distribution of visceral adipose tissue (VAT) in cystectomy patients is indicative of the incidence of post-operative complications. Existing VAT segmentation methods…
Interpolation-Split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc +14
The morphology and distribution of airway tree abnormalities enables diagnosis and disease characterisation across a variety of chronic respiratory conditions. In this regard, airw…
Image quality assessment for machine learning tasks using meta-reinforcement learning
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides +8
In this paper, we consider image quality assessment (IQA) as a measure of how images are amenable with respect to a given downstream task, or task amenability. When the task is per…
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation
Qianye Yang, Tom Vercauteren, Yunguan Fu +7
Organ morphology is a key indicator for prostate disease diagnosis and prognosis. For instance, In longitudinal study of prostate cancer patients under active surveillance, the vol…
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
Qianye Yang, Yunguan Fu, Francesco Giganti +6
Morphological analysis of longitudinal MR images plays a key role in monitoring disease progression for prostate cancer patients, who are placed under an active surveillance progra…