Surface Vision Transformers: Attention-Based Modelling applied to
Cortical Analysis

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis

30 March 2022

Logan Z. J. Williams

Timothy S. Coalson

Daniel Rueckert

Papers citing "Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis"

19 / 19 papers shown

Title
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Rongzhao He Weihao Zheng Leilei Zhao Ying Wang Dalin Zhu Dan Wu Bin Hu Mamba 95 0 0 21 Feb 2025
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features Zhuoshuo Li Jiong Zhang Youbing Zeng Jiaying Lin Dan Zhang Jianjia Zhang Duan Xu H. Kim Bingguang Liu Mengting Liu 29 0 0 05 Nov 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 44 5 0 30 May 2024
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes Julian Suk Baris Imre J. Wolterink MedIm 32 4 0 12 Mar 2024
Cortical Surface Diffusion Generative Models Zhenshan Xie Simon Dahan Logan Z. J. Williams M. J. Cardoso Emma C. Robinson MedIm 36 0 0 07 Feb 2024
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping Hao-Chun Yang Ole A. Andreassen Lars T. Westlye A. Marquand Christian F. Beckmann T. Wolfers 13 1 0 05 Dec 2023
Unsupervised Multimodal Surface Registration with Geometric Deep Learning Mohamed A. Suliman Logan Z. J. Williams Abdulah Fawaz Emma C. Robinson 15 1 0 21 Nov 2023
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders Simon Dahan Logan Z. J. Williams Yourong Guo Daniel Rueckert E. C. Robinson 33 0 0 10 Aug 2023
The Multiscale Surface Vision Transformer Simon Dahan Logan Z. J. Williams Daniel Rueckert E. C. Robinson MedIm ViT 10 2 0 21 Mar 2023
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models Suhyeon Lee Hyungjin Chung Minyoung Park Jonghyuk Park Wi-Sun Ryu J. C. Ye DiffM MedIm 15 44 0 15 Mar 2023
Vision Transformers in Medical Imaging: A Review Emerald U. Henry Onyeka Emebob C. Omonhinmin ViT MedIm 22 34 0 18 Nov 2022
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model Dániel Unyi Bálint Gyires-Tóth MedIm 11 1 0 16 Nov 2022
Surface Analysis with Vision Transformers Simon Dahan Logan Z. J. Williams Abdulah Fawaz Daniel Rueckert E. C. Robinson ViT MedIm 25 2 0 31 May 2022
Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces Simon Dahan Hao Xu Logan Z. J. Williams Abdulah Fawaz Chunhui Yang ... A. Edwards M. Glasser Alistair Young Daniel Rueckert E. C. Robinson ViT MedIm 24 0 0 07 Apr 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Convolution-Free Medical Image Segmentation using Transformers Davood Karimi Serge Vasylechko Ali Gholipour ViT MedIm 84 121 0 26 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 206 891 0 16 Feb 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,236 0 24 Nov 2016