| Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease DP Shamonin, EE Bron, BP Lelieveldt, M Smits, S Klein, M Staring Frontiers in Neuroinformatics 7, 50, 2013 | 632 | 2013 |
| Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ... NeuroImage 111, 562-579, 2015 | 357 | 2015 |
| Feature selection based on the SVM weight vector for classification of dementia EE Bron, M Smits, WJ Niessen, S Klein IEEE journal of biomedical and health informatics 19 (5), 1617-1626, 2015 | 134 | 2015 |
| TADPOLE challenge: prediction of longitudinal evolution in Alzheimer's disease RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... arXiv preprint arXiv:1805.03909, 2018 | 131 | 2018 |
| Diagnostic classification of arterial spin labeling and structural MRI in presenile early stage dementia EE Bron, RME Steketee, GC Houston, RA Oliver, HC Achterberg, M Loog, ... Human brain mapping 35 (9), 4916-4931, 2014 | 113 | 2014 |
| Multiparametric computer-aided differential diagnosis of Alzheimer’s disease and frontotemporal dementia using structural and advanced MRI EE Bron, M Smits, JM Papma, RME Steketee, R Meijboom, M De Groot, ... European radiology 27, 3372-3382, 2017 | 88 | 2017 |
| Early-stage differentiation between presenile Alzheimer’s disease and frontotemporal dementia using arterial spin labeling MRI RME Steketee, EE Bron, R Meijboom, GC Houston, S Klein, ... European radiology 26, 244-253, 2016 | 87 | 2016 |
| Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling V Venkatraghavan, EE Bron, WJ Niessen, S Klein, ... NeuroImage 186, 518-532, 2019 | 82 | 2019 |
| Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer’s disease EE Bron, S Klein, JM Papma, LC Jiskoot, V Venkatraghavan, J Linders, ... NeuroImage: Clinical 31, 102712, 2021 | 77 | 2021 |
| Is T1ρ mapping an alternative to delayed gadolinium-enhanced MR imaging of cartilage in the assessment of sulphated glycosaminoglycan content in human osteoarthritic knees? An … J van Tiel, G Kotek, M Reijman, PK Bos, EE Bron, S Klein, K Nasserinejad, ... Radiology 279 (2), 523-531, 2016 | 77 | 2016 |
| Age-dependent effects of methylphenidate on the human dopaminergic system in young vs adult patients with attention-deficit/hyperactivity disorder: a randomized clinical trial A Schrantee, HGH Tamminga, C Bouziane, MA Bottelier, EE Bron, ... JAMA psychiatry 73 (9), 955-962, 2016 | 76 | 2016 |
| A spatio-temporal reference model of the aging brain W Huizinga, DHJ Poot, MW Vernooij, GV Roshchupkin, EE Bron, ... NeuroImage 169, 11-22, 2018 | 69 | 2018 |
| No difference on quantitative magnetic resonance imaging in patellofemoral cartilage composition between patients with patellofemoral pain and healthy controls RA van der Heijden, EHG Oei, EE Bron, J van Tiel, PLJ van Veldhoven, ... The American journal of sports medicine 44 (5), 1172-1178, 2016 | 69 | 2016 |
| The missing link in the pathophysiology of vascular cognitive impairment: design of the heart-brain study AM Hooghiemstra, AS Bertens, AE Leeuwis, EE Bron, ML Bots, ... Cerebrovascular diseases extra 7 (3), 140-152, 2018 | 67 | 2018 |
| Image registration improves human knee cartilage T1 mapping with delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) EE Bron, J van Tiel, H Smit, DHJ Poot, WJ Niessen, GP Krestin, ... European radiology 23, 246-252, 2013 | 63 | 2013 |
| Reproducibility of 3D delayed gadolinium enhanced MRI of cartilage (dGEMRIC) of the knee at 3.0 T in patients with early stage osteoarthritis J van Tiel, EE Bron, CJ Tiderius, PK Bos, M Reijman, S Klein, ... European Radiology 23, 496-504, 2013 | 55 | 2013 |
| The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... arXiv preprint arXiv:2002.03419, 2020 | 50 | 2020 |
| A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes B Li, WJ Niessen, S Klein, M de Groot, MA Ikram, MW Vernooij, EE Bron Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 44 | 2019 |
| TADPOLE Challenge: Accurate Alzheimer’s disease prediction through crowdsourced forecasting of future data RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... Predictive Intelligence in Medicine: Second International Workshop, PRIME …, 2019 | 41 | 2019 |
| Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease D Archetti, S Ingala, V Venkatraghavan, V Wottschel, AL Young, M Bellio, ... NeuroImage: Clinical 24, 101954, 2019 | 40 | 2019 |
Stefan KleinBiomedical Imaging Group Rotterdam, Erasmus MC, the NetherlandsVerified email at erasmusmc.nl
