Juan Eugenio Iglesias

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Bruce Fischl or B FischlMass General Hospital/Harvard Medical SchoolEmail confirmado em nmr.mgh.harvard.edu
Koen Van LeemputAalto University & Harvard Medical SchoolEmail confirmado em nmr.mgh.harvard.edu
Benjamin BillotResearcher, InriaEmail confirmado em inria.fr
Adrian V DalcaHarvard Medical School & Massachusetts Institute of TechnologyEmail confirmado em mit.edu
Douglas N GreveMGHEmail confirmado em nmr.mgh.harvard.edu
Mert R. SabuncuCornell University, Cornell Tech, Weill Cornell MedicineEmail confirmado em cornell.edu
Oula PuontiDanish Research Centre for Magnetic ResonanceEmail confirmado em drcmr.dk
Alzheimer's Disease Neuroimaging Ini...Email confirmado em njit.edu
Polina GollandMassachusetts Institute of TechnologyEmail confirmado em mit.edu
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoEmail confirmado em ucsd.edu
Martina BocchettaEmail confirmado em ucl.ac.uk
Matthew P. FroschMassachusetts General Hospital & Harvard Medical SchoolEmail confirmado em mgh.harvard.edu
Ann McKeeProfessor of Neurology and Pathology, Boston University School of MedicineEmail confirmado em bu.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCEmail confirmado em usc.edu
Daniel C. AlexanderProfessor of Imaging Science, Centre for Medical Image Computing, Department of Computer ScienceEmail confirmado em cs.ucl.ac.uk
Andre van der KouweMassachusetts General HospitalEmail confirmado em mgh.harvard.edu
Yaël BalbastreUniversity College LondonEmail confirmado em ucl.ac.uk
Jonathan RohrerUCL Institute of NeurologyEmail confirmado em ucl.ac.uk
ricardo insaustiProfesor de Anatomía Universidad de Castilla-La ManchaEmail confirmado em uclm.es
Lawrence WaldMGH Radiology, Harvard Medical SchoolEmail confirmado em nmr.mgh.harvard.edu

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Juan Eugenio Iglesias

Massachusetts General Hospital & Harvard Medical School / MIT / UCL

Email confirmado em mgh.harvard.edu - Página inicial

Medical Image Analysis


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	1277	2015
Multi-Atlas Segmentation of Biomedical Images: A Survey JE Iglesias, MR Sabuncu Medical Image Analysis 24 (1), 205-219, 2015	848	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	698	2011
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology JE Iglesias, R Insausti, G Lerma-Usabiaga, M Bocchetta, K Van Leemput, ... Neuroimage 183, 314-326, 2018	485	2018
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	421	2017
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining B Billot, DN Greve, O Puonti, A Thielscher, K Van Leemput, B Fischl, ... Medical image analysis 86, 102789, 2023	377*	2023
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	348*	2015
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	273	2015
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling O Puonti, JE Iglesias, K Van Leemput NeuroImage 143, 235-249, 2016	208	2016
SynthMorph: learning contrast-invariant registration without acquired images M Hoffmann, B Billot, DN Greve, JE Iglesias, B Fischl, AV Dalca IEEE transactions on medical imaging 41 (3), 543-558, 2021	203	2021
A survey of methods for 3D histology reconstruction J Pichat, JE Iglesias, T Yousry, S Ourselin, M Modat Medical image analysis 46, 73-105, 2018	203	2018
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	185	2016
Is synthesizing MRI contrast useful for inter-modality analysis? JE Iglesias, E Konukoglu, D Zikic, B Glocker, K Van Leemput, B Fischl Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	179	2013
Entangled decision forests and their application for semantic segmentation of CT images A Montillo, J Shotton, J Winn, JE Iglesias, D Metaxas, A Criminisi Information Processing in Medical Imaging: 22nd International Conference …, 2011	176	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), 142-152, 2017	166	2017
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	163	2017
Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years L Zöllei, JE Iglesias, Y Ou, PE Grant, B Fischl Neuroimage 218, 116946, 2020	157	2020
Automated segmentation of the hypothalamus and associated subunits in brain MRI B Billot, M Bocchetta, E Todd, AV Dalca, JD Rohrer, JE Iglesias Neuroimage 223, 117287, 2020	155	2020
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	123	2016
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry JE Iglesias, B Billot, Y Balbastre, C Magdamo, SE Arnold, S Das, ... Science advances 9 (5), eadd3607, 2023	119	2023

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