79 citations · 122 across the 6 of their papers we have counts for
8 papers
Frozen Site-Probe Accuracy Is Not a Standalone Harmonization Score: An Audit of Evaluation Practice for Multi-Site MRI
Muhammad Muqsit Islam, Gloria García Cuenco, José M. Martínez +1
Image-level MRI harmonization is often evaluated with a frozen site probe, a site classifier trained on raw scans and applied unchanged to harmonized ones: a drop in its accuracy i…
CAHAL: Clinically Applicable resolution enHAncement for Low-resolution MRI scans
Sergio Morell-Ortega, Ángela González-Cebrián, Boris Mansencal +8
Large-scale automated morphometric analysis of brain MRI is limited by the thick-slice, anisotropic acquisitions prevalent in routine clinical practice. Existing generative super-r…
Deep Anomaly Generation: An Image Translation Approach of Synthesizing Abnormal Banded Chromosome Images
Lukas Uzolas, Javier Rico, Pierrick Coupé +2
Advances in deep-learning-based pipelines have led to breakthroughs in a variety of microscopy image diagnostics. However, a sufficiently big training data set is usually difficult…
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis +3
Semi-supervised learning (SSL) uses unlabeled data to compensate for the scarcity of annotated images and the lack of method generalization to unseen domains, two usual problems in…
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…