| The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014 | 6223 | 2014 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2052 | 2018 |
| Automated model-based tissue classification of MR images of the brain K Van Leemput, F Maes, D Vandermeulen, P Suetens IEEE transactions on medical imaging 18 (10), 897-908, 1999 | 1344 | 1999 |
| 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 | 1203 | 2015 |
| Automated model-based bias field correction of MR images of the brain K Van Leemput, F Maes, D Vandermeulen, P Suetens IEEE transactions on medical imaging 18 (10), 885-896, 1999 | 806 | 1999 |
| Automated segmentation of multiple sclerosis lesions by model outlier detection K Van Leemput, F Maes, D Vandermeulen, A Colchester, P Suetens IEEE transactions on medical imaging 20 (8), 677-688, 2001 | 656 | 2001 |
| A generative model for image segmentation based on label fusion MR Sabuncu, BTT Yeo, K Van Leemput, B Fischl, P Golland IEEE transactions on medical imaging 29 (10), 1714-1729, 2010 | 597 | 2010 |
| Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI K Van Leemput, A Bakkour, T Benner, G Wiggins, LL Wald, J Augustinack, ... Hippocampus 19 (6), 549-557, 2009 | 493 | 2009 |
| 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 | 448 | 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 | 391 | 2017 |
| A unifying framework for partial volume segmentation of brain MR images K Van Leemput, F Maes, D Vandermeulen, P Suetens IEEE transactions on medical imaging 22 (1), 105-119, 2003 | 373 | 2003 |
| 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 | 323 | 2015 |
| Automatic brain tumor segmentation by subject specific modification of atlas priors1 M Prastawa, E Bullitt, N Moon, K Van Leemput, G Gerig Academic radiology 10 (12), 1341-1348, 2003 | 313 | 2003 |
| A generative model for brain tumor segmentation in multi-modal images BH Menze, K Van Leemput, D Lashkari, MA Weber, N Ayache, P Golland Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 307 | 2010 |
| 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 | 264 | 2015 |
| 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 | 219 | 2023 |
| Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling O Puonti, JE Iglesias, K Van Leemput NeuroImage 143, 235-249, 2016 | 188 | 2016 |
| 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 | 175 | 2016 |
| Patch‐based generation of a pseudo CT from conventional MRI sequences for MRI‐only radiotherapy of the brain D Andreasen, K Van Leemput, RH Hansen, JAL Andersen, JM Edmund Medical physics 42 (4), 1596-1605, 2015 | 173 | 2015 |
| 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 | 169 | 2013 |
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLEmail verificata su mgh.harvard.edu