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most citedSurface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis

6 citations · 12 across the 13 of their papers we have counts for

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5 papers · 1 filter

eess.IV2024

Cortical Surface Diffusion Generative Models

Zhenshan Xie, Simon Dahan, Logan Z. J. Williams +2

Cortical surface analysis has gained increased prominence, given its potential implications for neurological and developmental disorders. Traditional vision diffusion models, while…

eess.IV2023

Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders

Simon Dahan, Logan Z. J. Williams, Yourong Guo +2

The development of robust and generalisable models for encoding the spatio-temporal dynamics of human brain activity is crucial for advancing neuroscientific discoveries. However,…

eess.IV2023★ 2 cited

Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

Hannah Spitzer, Mathilde Ripart, Abdulah Fawaz +6

Focal cortical dysplasia (FCD) is a leading cause of drug-resistant focal epilepsy, which can be cured by surgery. These lesions are extremely subtle and often missed even by exper…

eess.IV2023

The Multiscale Surface Vision Transformer

Simon Dahan, Logan Z. J. Williams, Daniel Rueckert +1

Surface meshes are a favoured domain for representing structural and functional information on the human cortex, but their complex topology and geometry pose significant challenges…

eess.IV2022★ 1 cited

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces

Simon Dahan, Hao Xu, Logan Z. J. Williams +10

Recent state-of-the-art performances of Vision Transformers (ViT) in computer vision tasks demonstrate that a general-purpose architecture, which implements long-range self-attenti…