79 citations · 148 across the 11 of their papers we have counts for
15 papers
petBrain: A New Pipeline for Amyloid, Tau Tangles and Neurodegeneration Quantification Using PET and MRI
Pierrick Coupé, Boris Mansencal, Floréal Morandat +4
INTRODUCTION: Quantification of amyloid plaques (A), neurofibrillary tangles (T2), and neurodegeneration (N) using PET and MRI is critical for Alzheimer's disease (AD) diagnosis an…
FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only
Edern Le Bot, Rémi Giraud, Boris Mansencal +3
This paper introduces a novel method for brain segmentation using only FLAIR MRIs, specifically targeting cases where access to other imaging modalities is limited. By leveraging e…
Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas
José V. Manjón, Sergio Morell-Ortega, Marina Ruiz-Perez +16
In this paper, we introduce a novel structural holistic Atlas (holiAtlas) of the human brain anatomy based on multimodal and high-resolution MRI that covers several anatomical leve…
Longitudinal detection of new MS lesions using Deep Learning
Reda Abdellah Kamraoui, Boris Mansencal, José V Manjon +1
The detection of new multiple sclerosis (MS) lesions is an important marker of the evolution of the disease. The applicability of learning-based methods could automate this task ef…
vol2Brain: A new online Pipeline for whole Brain MRI analysis
Jose V. Manjon, Jose E. Romero, Roberto Vivo-Hernando +4
Automatic and reliable quantitative tools for MR brain image analysis are a very valuable resources for both clinical and research environments. In the last years, this field has e…
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…