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20182025
most citedUnsupervised Brain Anomaly Detection and Segmentation with Transformers

31 citations · 79 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CV2021

An MRF-UNet Product of Experts for Image Segmentation

Mikael Brudfors, Yaël Balbastre, John Ashburner +4

While convolutional neural networks (CNNs) trained by back-propagation have seen unprecedented success at semantic segmentation tasks, they are known to struggle on out-of-distribu…

cs.CV2020

Generative Model-Enhanced Human Motion Prediction

Anthony Bourached, Ryan-Rhys Griffiths, Robert Gray +2

The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out-of-…

cs.CV2020

Hierarchical brain parcellation with uncertainty

Mark S. Graham, Carole H. Sudre, Thomas Varsavsky +4

Many atlases used for brain parcellation are hierarchically organised, progressively dividing the brain into smaller sub-regions. However, state-of-the-art parcellation methods ten…

cs.CV20191 cited

Unsupervised Videographic Analysis of Rodent Behaviour

Anthony Bourached, Parashkev Nachev

Animal behaviour is complex and the amount of data in the form of video, if extracted, is copious. Manual analysis of behaviour is massively limited by two insurmountable obstacles…

cs.CV2018

Elastic Registration of Geodesic Vascular Graphs

Stefano Moriconi, Maria A. Zuluaga, H. Rolf Jager +3

Vascular graphs can embed a number of high-level features, from morphological parameters, to functional biomarkers, and represent an invaluable tool for longitudinal and cross-sect…

cs.CV2018

PIMMS: Permutation Invariant Multi-Modal Segmentation

Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre +2

In a research context, image acquisition will often involve a pre-defined static protocol and the data will be of high quality. If we are to build applications that work in hospita…