Simon Dahan

According to our database, Simon Dahan authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Applications of interpretable deep learning in neuroimaging: a comprehensive review.

Lindsay Munroe, Mariana da Silva, Faezeh Heidari, Irina Grigorescu, Simon Dahan, Emma C. Robinson, Maria Deprez, Po-Wah So

CoRR, 2024

Cortical Surface Diffusion Generative Models.

Zhenshan Xie, Simon Dahan, Logan Z. J. Williams, M. Jorge Cardoso, Emma C. Robinson

CoRR, 2024

2023

Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data.

Simon Dahan, Mariana da Silva, Daniel Rueckert, Emma C. Robinson

CoRR, 2023

The Multiscale Surface Vision Transformer.

Simon Dahan, Abdulah Fawaz, Mohamed A. Suliman, Mariana da Silva, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson

CoRR, 2023

2022

Surface Analysis with Vision Transformers.

Simon Dahan, Logan Z. J. Williams, Abdulah Fawaz, Daniel Rueckert, Emma C. Robinson

CoRR, 2022

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

Simon Dahan, Hao Xu, Logan Z. J. Williams, Abdulah Fawaz, Chunhui Yang, Timothy S. Coalson, Michelle C. Williams, David E. Newby, A. David Edwards, Matthew F. Glasser, Alistair A. Young, Daniel Rueckert, Emma C. Robinson

CoRR, 2022

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

Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity.

Simon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021