2 papers
eess.IV2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review
Lindsay Munroe, Mariana da Silva, Faezeh Heidari +5
Clinical adoption of deep learning models has been hindered, in part, because the black-box nature of neural networks leads to concerns regarding their trustworthiness and reliabil…
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…