about
Multi-atlas segmentation of biomedical images: A surveyImproved inference in Bayesian segmentation using Monte Carlo sampling: application to hippocampal subfield volumetryProgressive Decline in Hippocampal CA1 Volume in Individuals at Ultra-High-Risk for Psychosis Who Do Not Remit: Findings from the Longitudinal Youth at Risk Study.An algorithm for optimal fusion of atlases with different labeling protocolsQuantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: towards a harmonized segmentation protocol.Bayesian segmentation of brainstem structures in MRI.A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.Heritability and reliability of automatically segmented human hippocampal formation subregions.Semiautomatic segmentation of vertebrae in lateral x-rays using a conditional shape model.Progression from selective to general involvement of hippocampal subfields in schizophrenia.Mid-space-independent deformable image registration.Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling.A GENERATIVE MODEL FOR MULTI-ATLAS SEGMENTATION ACROSS MODALITIES.Robust initial detection of landmarks in film-screen mammograms using multiple FFDM atlases.Regional Hippocampal Atrophy and Higher Levels of Plasma Amyloid-Beta Are Associated With Subjective Memory Complaints in Nondemented Elderly Subjects.A unified framework for cross-modality multi-atlas segmentation of brain MRIBayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlasesDeformable templates guided discriminative models for robust 3D brain MRI segmentation.Robust brain extraction across datasets and comparison with publicly available methods.Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG.Probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking: application to fetoscopy.Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2.Fast approximate stochastic tractography.A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain.A Survey of Methods for 3D Histology Reconstruction.Hippocampal Subfield Volumetry: Differential Pattern of Atrophy in Different Forms of Genetic Frontotemporal Dementia.A Probabilistic, Non-parametric Framework for Inter-modality Label FusionA Generative Model for Probabilistic Label Fusion of Multimodal DataA magnetic resonance multi-atlas for the neonatal rabbit brainA probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histologyJoint registration and synthesis using a probabilistic model for alignment of MRI and histological sectionsTechnical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopyTemplate-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model StudySmaller hippocampal CA1 subfield volume in posttraumatic stress disorder
P50
Q26825130-387B56D0-BA36-458E-A217-F5A97AC9EA13Q30541738-D8BFDA43-7BB7-46A0-83D5-8E90E4A1E89FQ33707483-0A00B672-8840-4B85-BC6F-E1D03BF8DDF9Q34857330-4EAEE641-418A-4380-A63A-804941C6B3E8Q35286739-31D032FF-9B8E-4458-8764-A87CC125A5C5Q35614412-E8CF212D-D8B8-4D9C-BD22-3D92E889D7DBQ35706748-7DAAC1B4-B571-4B83-8021-3B63B33D91FFQ36942434-33097350-0DDA-43BF-8643-FC7FC11C215FQ36949103-FE01A90D-BAD4-4D56-8BD0-D3144EDD7171Q37198098-960BA9DB-374D-4D78-945C-B4805B6E39AFQ38938936-BEE26104-00C6-45AA-86D9-2652FD015B03Q39405889-2B670923-85E9-4B96-8297-E75996D66743Q39583356-21740573-3FB8-450F-81C7-DFED373AEDC0Q39889006-9A9AE70C-DEEE-4042-8CD6-8022CC5BCAA2Q40870087-9F514A69-56B0-4DEC-A316-857063C074CCQ41865254-25A65AC3-4C2E-481A-B0C3-A88C95710C47Q42579947-114313D2-B5C7-4445-A081-280DC41F62A6Q44808285-A7CFAD4C-730B-4DF2-9B3B-E4A18F4D8582Q46134656-982ECAB6-0969-4DB9-9FEC-6DA335FB969BQ47135749-F11A005D-DBD5-4954-8148-7AB3258C19F1Q50306122-E740DC89-5B75-4695-98F9-FB43871C8541Q50531246-C882966F-4611-4D04-933C-592C887F616FQ51580993-6F881F53-3E64-4EA0-9904-4BF03084D1D3Q52599704-565244BD-8A6B-4172-8C2E-E6B7B16ED0BDQ52675595-76048CBE-2E93-4FA7-A935-BA0240E483E5Q55439778-B377540A-8968-44C6-85DD-C24236D65E13Q55949135-4A5BEAD2-5FD5-48C0-9217-B13E3F845155Q55949165-3AEFFB2F-6D0D-4A26-AD0C-C066FE2DD3AFQ58790625-AB581CA7-624C-421A-8126-4EA3CC91B5C6Q59544051-183CD039-D430-4BC7-A2DE-ADEC34734570Q63387057-53628A89-62F6-4E8B-8144-BF75BCC339C4Q63387074-AE71F8F0-9987-4FA6-9AD8-A53E979665E0Q63387108-8D7AFEFA-3A7E-4DCB-B61C-DB63CD72BD41Q63976474-2647850D-B62E-4E0D-B0D1-5A4CE8FA5E4D
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Juan Eugenio Iglesias
@ast
Juan Eugenio Iglesias
@en
Juan Eugenio Iglesias
@es
Juan Eugenio Iglesias
@nl
Juan Eugenio Iglesias
@sl
type
label
Juan Eugenio Iglesias
@ast
Juan Eugenio Iglesias
@en
Juan Eugenio Iglesias
@es
Juan Eugenio Iglesias
@nl
Juan Eugenio Iglesias
@sl
prefLabel
Juan Eugenio Iglesias
@ast
Juan Eugenio Iglesias
@en
Juan Eugenio Iglesias
@es
Juan Eugenio Iglesias
@nl
Juan Eugenio Iglesias
@sl
P1053
K-1184-2014
P106
P21
P2456
P31
P3829
P496
0000-0001-7569-173X