375 citations · 661 across the 11 of their papers we have counts for
4 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…
Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI
Christian Mata, Alain Lalande, Paul Walker +2
Purpose: The goal of this study is to show the advantage of a collaborative work in the annotation and evaluation of prostate cancer tissues from T2-weighted MRI compared to the co…
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…