375 citations · 935 across the 9 of their papers we have counts for
3 papers · 1 filter
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
Jose Bernal, Kaisar Kushibar, Daniel S. Asfaw +4
In recent years, deep convolutional neural networks (CNNs) have shown record-shattering performance in a variety of computer vision problems, such as visual object recognition, det…
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
Kaisar Kushibar, Sergi Valverde, Sandra Gonzalez-Villa +4
Sub-cortical brain structure segmentation in Magnetic Resonance Images (MRI) has attracted the interest of the research community for a long time because morphological changes in t…
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
Sergi Valverde, Mariano Cabezas, Eloy Roura +7
In this paper, we present a novel automated method for White Matter (WM) lesion segmentation of Multiple Sclerosis (MS) patient images. Our approach is based on a cascade of two 3D…