71 citations · 237 across the 19 of their papers we have counts for
4 papers · 1 filter
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting
Bao Nguyen, Adam Feldman, Sarath Bethapudi +2
Medical segmentation is performed to determine the bounds of regions of interest (ROI) prior to surgery. By allowing the study of growth, structure, and behaviour of the ROI in the…
Gradient Origin Networks
Sam Bond-Taylor, Chris G. Willcocks
This paper proposes a new type of generative model that is able to quickly learn a latent representation without an encoder. This is achieved using empirical Bayes to calculate the…
Segmentation of Macular Edema Datasets with Small Residual 3D U-Net Architectures
Jonathan Frawley, Chris G. Willcocks, Maged Habib +3
This paper investigates the application of deep convolutional neural networks with prohibitively small datasets to the problem of macular edema segmentation. In particular, we inve…
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
Machine learning driven object detection and classification within non-visible imagery has an important role in many fields such as night vision, all-weather surveillance and aviat…