Esther E Bron
Esther E Bron
Erasmus MC, Rotterdam, The Netherlands
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
A spatio-temporal reference model of the aging brain
W Huizinga, DHJ Poot, MW Vernooij, GV Roshchupkin, EE Bron, ...
NeuroImage 169, 11-22, 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
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
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
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
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
The association between biomarkers and neuropsychiatric symptoms across the Alzheimer's disease spectrum
LCP Banning, IHGB Ramakers, S Köhler, EE Bron, FRJ Verhey, ...
The American Journal of Geriatric Psychiatry 28 (7), 735-744, 2020
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