| 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 |
Bruce Fischl or B FischlMass General Hospital/Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
