79 citations · 122 across the 6 of their papers we have counts for
4 papers · 1 filter
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
Reda Abdellah Kamraoui, Vinh-Thong Ta, Thomas Tourdias +3
Recently, segmentation methods based on Convolutional Neural Networks (CNNs) showed promising performance in automatic Multiple Sclerosis (MS) lesions segmentation. These technique…
RegQCNET: Deep Quality Control for Image-to-template Brain MRI Affine Registration
Baudouin Denis de Senneville, José V. Manjon, Pierrick Coupé
Affine registration of one or several brain image(s) onto a common reference space is a necessary prerequisite for many image processing tasks, such as brain segmentation or functi…
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease
Kilian Hett, Hans Johnson, Pierrick Coupé +3
The improvements in magnetic resonance imaging have led to the development of numerous techniques to better detect structural alterations caused by neurodegenerative diseases. Amon…
Deep ICE: A Deep learning approach for MRI Intracranial Cavity Extraction
José V. Manjón, Jose E. Romero, Roberto Vivo-Hernando +4
Automatic methods for measuring normalized regional brain volumes from MRI data are a key tool to help in the objective diagnostic and follow-up of many neurological diseases. To e…