BackBrowsing BCBL by Author "Iglesias, Juan Eugenio"
Now showing items 1-7 of 7
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A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology
(NeuroImage, 2018)The human thalamus is a brain structure that comprises numerous, highly specific nuclei. Since these nuclei are known to have different functions and to be connected to different areas of the cerebral cortex, it is of great ... -
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas
(ELSEVIER, 2023)The human thalamus is a highly connected brain structure, which is key for the control of numerous functions and is involved in several neurological disorders. Recently, neuroimaging studies have increasingly focused ... -
Automated Segmentation of the Human Hippocampus Along Its Longitudinal Axis
(Human Brain Mapping, 2016)The human hippocampal formation is a crucial brain structure for memory and cognitive function that is closely related to other subcortical and cortical brain regions. Recent neuroimaging studies have revealed differences ... -
Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases
(NeuroImage, 2016)The hippocampal formation is a complex, heterogeneous structure that consists of a number of distinct, interacting subregions. Atrophy of these subregions is implied in a variety of neurodegenerative diseases, most ... -
Correction of Fat-Water Swaps in Dixon MRI
(Medical Image Computing and Computer-Assisted Intervention − MICCAI 2016. Lecture Notes in Computer Science, 2016)The Dixon method is a popular and widely used technique for fat-water separation in magnetic resonance imaging, and today, nearly all scanner manufacturers are offering a Dixon-type pulse sequence that produces scans with ... -
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling
(NeuroImage, 2016)Quantitative analysis of magnetic resonance imaging (MRI) scans of the brain requires accurate automated segmentation of anatomical structures. A desirable feature for such segmentation methods is to be robust against ... -
Retrospective Head Motion Estimation in Structural Brain MRI with 3D CNNs
(Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017. Lecture Notes in Computer Science, 2017)Head motion is one of the most important nuisance variables in neuroimaging, particularly in studies of clinical or special populations, such as children. However, the possibility of estimating motion in structural MRI is ...