5 citations · 10 across the 6 of their papers we have counts for
6 papers
Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach
Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw +2
Style transfer in DCE-MRI is a challenging task due to large variations in contrast enhancements across different tissues and time. Current unsupervised methods fail due to the wid…
Can a single image processing algorithm work equally well across all phases of DCE-MRI?
Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw +2
Image segmentation and registration are said to be challenging when applied to dynamic contrast enhanced MRI sequences (DCE-MRI). The contrast agent causes rapid changes in intensi…
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients
Angel Victor Juanco Muller, Joao F. C. Mota, Keith A. Goatman +1
With nearly one million new cases diagnosed worldwide in 2020, head \& neck cancer is a deadly and common malignity. There are challenges to decision making and treatment of such c…
The Topology-Overlap Trade-Off in Retinal Arteriole-Venule Segmentation
Angel Victor Juanco Muller, Joao F. C. Mota, Keith A. Goatman +1
Retinal fundus images can be an invaluable diagnosis tool for screening epidemic diseases like hypertension or diabetes. And they become especially useful when the arterioles and v…
The role of noise in denoising models for anomaly detection in medical images
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf +9
Pathological brain lesions exhibit diverse appearance in brain images, in terms of intensity, texture, shape, size, and location. Comprehensive sets of data and annotations are dif…
A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration
Chengjia Wang, Keith A. Goatman, James Boardman +3
In this paper we describe improvements to the particle swarm optimizer (PSO) made by inclusion of an unscented Kalman filter to guide particle motion. We demonstrate the effectiven…