4 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
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…
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI
Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea +7
This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution ($1 \text{…
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
Marina Ruiz-Perez, Sergio Morell-Ortega, Marien Gadea +7
The implication of the thalamus in multiple neurological pathologies makes it a structure of interest for volumetric analysis. In the present work, we have designed and implemented…