| 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 | 869 | 2015 |
| Multi-Atlas Segmentation of Biomedical Images: A Survey JE Iglesias, MR Sabuncu Medical Image Analysis 24 (1), 205-219, 2015 | 688 | 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 | 557 | 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 | 272* | 2015 |
| 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 | 268 | 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 | 249 | 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 | 181 | 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 Information Processing in Medical Imaging: 22nd International Conference …, 2011 | 167 | 2011 |
| 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 | 150 | 2013 |
| 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 | 134 | 2018 |
| 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 | 133 | 2017 |
| 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 | 127 | 2016 |
| 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 | 110 | 2017 |
| 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 | 107 | 2016 |
| Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling O Puonti, JE Iglesias, K Van Leemput NeuroImage 143, 235-249, 2016 | 91 | 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 Information Processing in Medical Imaging: 22nd International Conference …, 2011 | 72 | 2011 |
| Unsupervised deep learning for Bayesian brain MRI segmentation AV Dalca, E Yu, P Golland, B Fischl, MR Sabuncu, J Eugenio Iglesias Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 70 | 2019 |
| Progressive 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 NF Ho, DJ Holt, M Cheung, JE Iglesias, A Goh, M Wang, JKW Lim, ... Neuropsychopharmacology 42 (6), 1361-1370, 2017 | 70 | 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 | 69 | 2020 |
| 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 | 68 | 2015 |
Bruce Fischl or B FischlMass General Hospital/Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
