72 citations · 87 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…
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{…
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics
Alexander Khvostikov, Karim Aderghal, Andrey Krylov +2
In the last decade, computer-aided early diagnostics of Alzheimer's Disease (AD) and its prodromal form, Mild Cognitive Impairment (MCI), has been the subject of extensive research…
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies
Alexander Khvostikov, Karim Aderghal, Jenny Benois-Pineau +2
Computer-aided early diagnosis of Alzheimers Disease (AD) and its prodromal form, Mild Cognitive Impairment (MCI), has been the subject of extensive research in recent years. Some…