65 citations · 160 across the 35 of their papers we have counts for
4 papers · 1 filter
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis
Karthik Gopinath, Christian Desrosiers, Herve Lombaert
Brain surface analysis is essential to neuroscience, however, the complex geometry of the brain cortex hinders computational methods for this task. The difficulty arises from a dis…
Spectral Graph Transformer Networks for Brain Surface Parcellation
Ran He, Karthik Gopinath, Christian Desrosiers +1
The analysis of the brain surface modeled as a graph mesh is a challenging task. Conventional deep learning approaches often rely on data lying in the Euclidean space. As an extens…
Constrained domain adaptation for Image segmentation
Mathilde Bateson, Jose Dolz, Hoel Kervadec +2
We propose to adapt segmentation networks with a constrained formulation, which embeds domain-invariant prior knowledge about the segmentation regions. Such knowledge may take the…
WaveletBrain: Characterization of human brain via spectral graph wavelets
Majid Masoumi, Matthew Toews, Herve Lombaert
Early diagnosis of Alzheimer's disease plays a key role in understanding the degree of the patient's mental decline and determining preventive therapies. In this study, we introduc…