Juan Eugenio Iglesias
Juan Eugenio Iglesias
ERC Senior Research Fellow, University College London
Bestätigte E-Mail-Adresse bei ucl.ac.uk - Startseite
TitelZitiert vonJahr
Multi-Atlas Segmentation of Biomedical Images: A Survey
JE Iglesias, MR Sabuncu
Medical Image Analysis 24 (1), 205-219, 2015
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI
JE Iglesias, JC Augustinack, K Nguyen, CM Player, A Player, M Wright, ...
Neuroimage 115, 117-137, 2015
Robust brain extraction across datasets and comparison with publicly available methods
JE Iglesias, CY Liu, PM Thompson, Z Tu
IEEE transactions on medical imaging 30 (9), 1617-1634, 2011
Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: towards a harmonized segmentation protocol
PA Yushkevich, RSC Amaral, JC Augustinack, AR Bender, JD Bernstein, ...
Neuroimage 111, 526-541, 2015
Entangled decision forests and their application for semantic segmentation of CT images
A Montillo, J Shotton, J Winn, JE Iglesias, D Metaxas, A Criminisi
Biennial International Conference on Information Processing in Medical …, 2011
Is synthesizing MRI contrast useful for inter-modality analysis?
JE Iglesias, E Konukoglu, D Zikic, B Glocker, K Van Leemput, B Fischl
International Conference on Medical Image Computing and Computer-Assisted …, 2013
Heritability and reliability of automatically segmented human hippocampal formation subregions
CD Whelan, DP Hibar, LS van Velzen, AS Zannas, T Carrillo-Roa, ...
Neuroimage 128, 125-137, 2016
Combining generative and discriminative models for semantic segmentation of CT scans via active learning
JE Iglesias, E Konukoglu, A Montillo, Z Tu, A Criminisi
Biennial International Conference on Information Processing in Medical …, 2011
Progression from selective to general involvement of hippocampal subfields in schizophrenia
NF Ho, JE Iglesias, MY Sum, CN Kuswanto, YY Sitoh, J De Souza, ...
Molecular psychiatry 22 (1), 142, 2017
A unified framework for cross-modality multi-atlas segmentation of brain MRI
JE Iglesias, MR Sabuncu, K Van Leemput
Medical image analysis 17 (8), 1181-1191, 2013
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas
ZM Saygin, D Kliemann, JE Iglesias, AJW van der Kouwe, E Boyd, ...
Neuroimage 155, 370-382, 2017
Bayesian segmentation of brainstem structures in MRI
JE Iglesias, K Van Leemput, P Bhatt, C Casillas, S Dutt, N Schuff, ...
Neuroimage 113, 184-195, 2015
Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry
JE Iglesias, MR Sabuncu, K Van Leemput, ...
Medical image analysis 17 (7), 766-778, 2013
Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases
JE Iglesias, K Van Leemput, J Augustinack, R Insausti, B Fischl, M Reuter, ...
Neuroimage 141, 542-555, 2016
Subcortical volumes differentiate major depressive disorder, bipolar disorder, and remitted major depressive disorder
MD Sacchet, EE Livermore, JE Iglesias, GH Glover, IH Gotlib
Journal of psychiatric research 68, 91-98, 2015
Robust initial detection of landmarks in film-screen mammograms using multiple FFDM atlases
JE Iglesias, N Karssemeijer
IEEE transactions on medical imaging 28 (11), 1815-1824, 2009
A generative model for multi-atlas segmentation across modalities
JE Iglesias, MR Sabuncu, K Van Leemput
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 888-891, 2012
Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG
P Krishnaswamy, G Obregon-Henao, J Ahveninen, S Khan, B Babadi, ...
Proceedings of the National Academy of Sciences 114 (48), E10465-E10474, 2017
Regional hippocampal atrophy and higher levels of plasma amyloid-beta are associated with subjective memory complaints in nondemented elderly subjects
JL Cantero, JE Iglesias, K Van Leemput, M Atienza
Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences …, 2016
Entanglement and differentiable information gain maximization
A Montillo, J Tu, J Shotton, J Winn, JE Iglesias, DN Metaxas, A Criminisi
Decision Forests for Computer Vision and Medical Image Analysis, 273-293, 2013
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