4 papers
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis +4
Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches have demonstrated sta…
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…
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…
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…