Ricardo Insausti
Orcid: 0000-0001-6610-5882
According to our database1,
Ricardo Insausti
authored at least 13 papers
between 2009 and 2023.
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Bibliography
2023
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas.
NeuroImage, July, 2023
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation.
Proceedings of the Information Processing in Medical Imaging, 2023
2021
Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo Imaging.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
2020
J. Medical Syst., 2020
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2018
A probabilistic atlas of the human thalamic nuclei combining <i>ex vivo</i> MRI and histology.
NeuroImage, 2018
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology.
CoRR, 2018
2016
Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.
NeuroImage, 2016
Simultaneous Bayesian correction of slab boundary artifacts and bias field for high resolution ex vivo MRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2011
Proceedings of the New Challenges on Bioinspired Applications, 2011
FreeSurfer Automatic Brain Segmentation Adaptation to Medial Temporal Lobe Structures: Volumetric Assessment and Diagnosis of Mild Cognitive Impairment.
Proceedings of the New Challenges on Bioinspired Applications, 2011
2009
Neurobiological Significance of Automatic Segmentation: Application to the Early Diagnosis of Alzheimer's Disease.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009